accueil / serveurs / Géo & Temps / io.github.blackboxfoundry/livedatalink
io.github.blackboxfoundry/livedatalink
serveur MCP (Model Context Protocol) · livedatalink 1.9.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que io.github.blackboxfoundry/livedatalink est sûr ?
Au dernier audit MCP Hub, le serveur MCP « io.github.blackboxfoundry/livedatalink » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 381 outils
- affordable_housing_refinance_evidence_pack≈ 338 tokens
Return a source-linked, state-level evidence pack for official HUD FHA maturity records and HUD LIHTC year-15 screening signals in one date window. Use this for affordable-housing debt or timing diligence. The two source sets are not silently property-matched because FHA's public workbook lacks a street-address key; results never claim a refinance opportunity, contact, valuation, or affordability expiration.
Paramètres, retour & exemple (5)
Paramètreslimit· integer · optionnelstate· string · requisend_date· string · requis
Inclusive YYYY-MM-DD window end.start_date· string · requis
Inclusive YYYY-MM-DD window start.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "affordable_housing_refinance_evidence_pack", "arguments": {"state": "texte", "end_date": "texte", "start_date": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - air_quality≈ 192 tokens
Get current air quality data for any location. Returns US AQI index, PM2.5, PM10, ozone, NO2, SO2, and CO levels with health category rating. Use this for 'what's the air quality?', 'is it safe to go outside?', 'pollution levels', 'AQI in Los Angeles', 'should I wear a mask?', 'is there smoke in the air?', or any air quality or pollution question.
Paramètres, retour & exemple (1)
Paramètreslocation· string · requis
City, zip code, or place name
Exemple d'appel{"name": "air_quality", "arguments": {"location": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bank_health_report≈ 340 tokens
One-call financial-health read for a US bank or savings institution. Give a bank name or an FDIC certificate (CERT) number. Joins FDIC BankFind institution + financials (total assets, deposits, net income, return on assets/equity, active-vs-failed status) with the CFPB Consumer Complaint Database (complaint volume and top complaint products for the matched company) into a HEALTHY / STABLE / WATCH / FAILED read with the numbers behind it. FDIC is the primary signal; CFPB complaint data is best-effort and degrades gracefully if the bank's complaint records cannot be matched. Useful for picking a sponsor/partner bank, treasury counterparty checks, or deposit-safety questions. Informational, not a rating or advice.
Paramètres, retour & exemple (2)
Paramètresbank· string · optionnel
Bank or savings institution name (e.g. 'JPMorgan Chase Bank', 'Cross River Bank'). Use the full legal name for best matching.cert· string · optionnel
Optional FDIC certificate (CERT) number for an exact institution match, used instead of a name.
Exemple d'appel{"name": "bank_health_report", "arguments": {"bank": "texte", "cert": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bea_compare_states≈ 395 tokens
Compare one official BEA SASUMMARY annual indicator across 2–8 requested states (or the United States) for an exact year. Returns values sorted high-to-low, exact unit, missing-value evidence, GeoFIPS, source hash, and attribution. Use this for 'compare 2024 Texas and California GDP', 'which of these states had higher 2023 per-capita income?', or 'compare regional price levels'. It does not rank all states unless they are explicitly supplied.
Paramètres, retour & exemple (4)
Paramètresyear· integer · requis
Four-digit calendar year. Hosted source coverage is reported in every response.indicator· string · requis
Supported indicator slug/name or BEA SASUMMARY line code; examples: gdp, real_gdp, personal_income, per_capita_personal_income, regional_price_parities, total_employment.geographies· array · requis
Two to eight distinct state selectors.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "bea_compare_states", "arguments": {"year": 1, "indicator": "texte", "geographies": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bea_search_state_indicators≈ 320 tokens
Search the 15 indicators in LiveDataLink's self-hosted official BEA SASUMMARY annual state snapshot. Returns canonical indicator names, definitions, units, exact coverage, pagination, evidence hash, and attribution. Use this for 'what BEA state measures are hosted?', 'find regional price parity', or to resolve an indicator before a history call. Scope is the compact annual state summary, not the full BEA API or industry detail.
Paramètres, retour & exemple (4)
Paramètreslimit· integer · optionnel
Maximum results. Default 20.query· string · optionnel
Optional words matched against indicator name, definition, and unit.offset· integer · optionnel
Results to skip. Default 0.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "bea_search_state_indicators", "arguments": {"limit": 1, "query": "texte", "offset": 1, "response_format": "markdown"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bea_state_economic_history≈ 470 tokens
Return bounded annual history for one official BEA SASUMMARY state or U.S. indicator. Includes exact value, unit, state GeoFIPS, pagination, source update date, evidence hash, and attribution. Use this for 'Texas real GDP since 2018', 'California per-capita income history', or 'US employment by year'. Published aggregate annual estimates only; BEA can revise prior vintages.
Paramètres, retour & exemple (7)
Paramètreslimit· integer · optionnel
Maximum years. Default 20.offset· integer · optionnel
Years to skip. Default 0.end_year· integer · optionnel
Four-digit calendar year. Hosted source coverage is reported in every response.geography· string · requis
State name, USPS abbreviation, 5-digit state-summary GeoFIPS, or United States/US.indicator· string · requis
Supported indicator slug/name or BEA SASUMMARY line code; examples: gdp, real_gdp, personal_income, per_capita_personal_income, regional_price_parities, total_employment.start_year· integer · optionnel
Four-digit calendar year. Hosted source coverage is reported in every response.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "bea_state_economic_history", "arguments": {"geography": "texte", "indicator": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bea_state_economic_profile≈ 352 tokens
Build a compact official BEA annual economic profile for one state or the United States across all 15 hosted SASUMMARY indicators: GDP, income, consumer spending, per-capita measures, regional price levels, and jobs. Each value carries its own year and unit because source update calendars differ. Use this for 'BEA profile for North Carolina', 'state GDP income jobs packet', or as the BEA leg of a regional market brief combined with Census, BLS, SBA, FDIC, or housing data. Aggregate estimates only; not a forecast or investment recommendation.
Paramètres, retour & exemple (3)
Paramètresgeography· string · requis
State name, USPS abbreviation, 5-digit state-summary GeoFIPS, or United States/US.as_of_year· integer · optionnel
Four-digit calendar year. Hosted source coverage is reported in every response.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "bea_state_economic_profile", "arguments": {"geography": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bea_state_economic_trend≈ 395 tokens
Calculate prior-observation and exact five-year changes for one official BEA SASUMMARY state indicator. Returns component observations, absolute and percent changes, five-year CAGR when meaningful, units, vintage evidence, and caveats. Use this for 'five-year Florida GDP trend', 'how has Ohio employment changed?', or 'California real per-capita income growth'. The optional as-of year prevents future observations from entering a historical calculation.
Paramètres, retour & exemple (4)
Paramètresgeography· string · requis
State name, USPS abbreviation, 5-digit state-summary GeoFIPS, or United States/US.indicator· string · requis
Supported indicator slug/name or BEA SASUMMARY line code; examples: gdp, real_gdp, personal_income, per_capita_personal_income, regional_price_parities, total_employment.as_of_year· integer · optionnel
Four-digit calendar year. Hosted source coverage is reported in every response.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "bea_state_economic_trend", "arguments": {"geography": "texte", "indicator": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - beneficial_owner_screen≈ 518 tokens
One-call KYB/AML ownership-chain sanctions screen: answers the real question 'is anyone in this company's ownership chain sanctioned?', not just 'is the top-level name on a list?'. Give a company name or a 20-character LEI; the tool maps the ownership structure via GLEIF (keyless CC0 reference data) - the subject entity, its ULTIMATE parent (top of the chain), and its reported direct subsidiaries, capped at about 15 entities so a broad group stays bounded - then SCREENS each entity in that set against the local sanctions/watchlist matcher (OFAC SDN / EU / UN / BIS), the same first-party matcher company_trust_check uses. Returns the mapped ownership structure, a per-entity CLEAR / HIT result (each hit naming the matched list entry, source, and score), and an overall verdict: CLEAR (no entity matched) vs HITS-FOUND (at least one entity in the chain matched). This catches a sanctioned parent or subsidiary that screening only the counterparty name would miss - the exposure beneficial-ownership rules target. Best-effort: if GLEIF hops fail the subject is still screened; if the sanctions binding is unavailable the screen is noted as unavailable, never silently passed. Only relationships an entity self-reports to GLEIF are shown. A name match is not proof of identity and must be cleared. Informational public-record synthesis, not legal, compliance, or sanctions-clearance advice.
Paramètres, retour & exemple (2)
Paramètreslei· string · optionnel
Optional exact 20-character LEI code to anchor the ownership chain directly (e.g. '5493006MHB84DD0ZWV18'). Overrides a name search.company· string · optionnel
Company / organization name (e.g. 'Alphabet Inc.', 'JPMorgan') or a 20-character LEI code. Provide this or 'lei'.
Exemple d'appel{"name": "beneficial_owner_screen", "arguments": {"lei": "texte", "company": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bls_indicator≈ 274 tokens
US labor & price statistics from the Bureau of Labor Statistics by friendly name. Available: unemployment_rate, labor_force_participation, employment_population_ratio, cpi, cpi_less_food_energy, nonfarm_payrolls, avg_hourly_earnings, avg_weekly_hours, ppi_final_demand. Returns a monthly time series. Keyless official BLS data.
Paramètres, retour & exemple (3)
Paramètresend_year· integer · optionnel
End year (optional; defaults to current year).indicator· string · optionnel
Indicator name, one of: unemployment_rate, labor_force_participation, employment_population_ratio, cpi, cpi_less_food_energy, nonfarm_payrolls, avg_hourly_earnings, avg_weekly_hours, ppi_final_demand.start_year· integer · optionnel
Start year (optional; defaults to ~3 years back).
Exemple d'appel{"name": "bls_indicator", "arguments": {"end_year": 1, "indicator": "texte", "start_year": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bls_series≈ 184 tokens
Fetch any BLS time series by its raw series ID (e.g. 'LNS14000000' for the unemployment rate, or a state/industry series). For when you know the exact BLS series ID.
Paramètres, retour & exemple (3)
Paramètresend_year· integer · optionnel
End year (optional).series_id· string · requis
BLS series ID, e.g. 'LNS14000000'.start_year· integer · optionnel
Start year (optional).
Exemple d'appel{"name": "bls_series", "arguments": {"series_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - book_details≈ 158 tokens
Get full catalog metadata for a single book by its Project Gutenberg id (title, authors, subjects, languages, copyright, download count, and whether its full text is indexed here).
Paramètres, retour & exemple (1)
Paramètresgutenberg_id· integer · requis
Project Gutenberg ebook id, e.g. 84 (Frankenstein).
Exemple d'appel{"name": "book_details", "arguments": {"gutenberg_id": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - book_fulltext_search≈ 268 tokens
Search INSIDE the indexed corpus of top public-domain books for a phrase or keywords and get back the matching passages, each with the book title, author, and a snippet around the match. This is the headline feature: agents can find where a passage appears across great books. Optionally restrict to one book by gutenberg_id.
Paramètres, retour & exemple (3)
Paramètreslimit· integer · optionnel
Maximum passages to return (default 10, max 50).query· string · requis
Phrase or keywords to find inside the books, e.g. 'it was the best of times', 'whale'.gutenberg_id· integer · optionnel
Optional: restrict the search to a single indexed book by its Gutenberg id.
Exemple d'appel{"name": "book_fulltext_search", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - book_get_text≈ 239 tokens
Return the full text of an indexed book by Gutenberg id, paginated by passage. Use from_seq + max_passages to page through it. For books in the catalog that are NOT indexed locally, returns the public gutenberg.org plain-text URL so the agent can fetch it directly.
Paramètres, retour & exemple (3)
Paramètresfrom_seq· integer · optionnel
Passage index to start from (0-based, default 0).gutenberg_id· integer · requis
Project Gutenberg ebook id.max_passages· integer · optionnel
Maximum passages to return per call (default 40, max 200).
Exemple d'appel{"name": "book_get_text", "arguments": {"gutenberg_id": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - book_search≈ 319 tokens
Search the full Project Gutenberg catalog (~78,500 public-domain books) live via Gutendex by title / author / subject keyword, with optional author, subject, and language filters. Ranked by keyword relevance then download popularity. Returns each book's Gutenberg id, title, author(s), language, and download count. Use book_fulltext_search to search inside the locally indexed top books.
Paramètres, retour & exemple (5)
Paramètreslimit· integer · optionnel
Maximum rows to return (default 25, max 100).query· string · optionnel
Title / author / subject keyword, e.g. 'frankenstein', 'sherlock holmes', 'astronomy'.author· string · optionnel
Optional author-name fragment, e.g. 'Shelley', 'Twain'.subject· string · optionnel
Optional subject fragment, e.g. 'Science fiction', 'Detective'.language· string · optionnel
Optional language code filter, e.g. 'en', 'fr'.
Exemple d'appel{"name": "book_search", "arguments": {"limit": 1, "query": "texte", "author": "texte", "subject": "texte", "language": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - book_status≈ 123 tokens
Report the books store status: the catalog is served live via Gutendex (78,000+ books), plus the local D1 indexed-corpus counts (books with full text indexed, total indexed passages, last refresh timestamp).
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "book_status", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bounce_scanner≈ 417 tokens
Screen one or more US tickers for a mean-reversion 'bounce' setup on daily bars: price near support (recent pivot low) or the moving average, RSI oversold and turning up, a bullish latest candle, and volume at/above its recent average. Returns per-symbol {isBounce, score 0-100, reasons, price, rsi, distanceToSupportPct, supportLevel}. ALL thresholds are tunable inputs (rsi_threshold, ma_period, proximity_pct, lookback_days) so calibration is a parameter change. HEURISTIC signal for research, not investment advice.
Paramètres, retour & exemple (6)
Paramètressymbol· string · optionnel
A single ticker (e.g. 'AAPL'). Use this or `symbols`.symbols· array · optionnel
Multiple tickers to scan (max 15).ma_period· integer · optionnel
Simple moving-average period used as a dynamic support reference (default 50).lookback_days· integer · optionnel
Trailing daily bars to analyze (default 180).proximity_pct· number · optionnel
How close (percent) price must be to support/MA to count as 'near' (default 3).rsi_threshold· number · optionnel
RSI(14) must be at or below this to qualify as oversold (default 35).
Exemple d'appel{"name": "bounce_scanner", "arguments": {"symbol": "texte", "symbols": [], "ma_period": 1, "lookback_days": 1, "proximity_pct": 1, "rsi_threshold": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bts_transport_border_activity_pack≈ 344 tokens
Combine every available official BTS crossing measure for one land-border port into a provenance-backed current-versus-prior activity evidence pack. Keeps trucks, trains, buses, vehicles, passengers, and pedestrians separate while reporting window totals, completeness, and percent change. Use this for 'build a border activity pack for Laredo', 'what changed at Otay Mesa?', or a logistics/corridor briefing. It never fabricates a total across incompatible measures and is not a congestion or wait-time measure.
Paramètres, retour & exemple (3)
Paramètresport· string · requis
Exact BTS four-digit port code or an unambiguous U.S. land-border port name. Search first when needed.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.trailing_months· integer · optionnel
Months per current/prior comparison window. Default 12.
Exemple d'appel{"name": "bts_transport_border_activity_pack", "arguments": {"port": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bts_transport_border_trend≈ 476 tokens
Return a bounded monthly history for one official BTS land-border port and one consistent crossing measure from the self-hosted snapshot. Includes exact month, crossing count, stable port identity, pagination, source hash, and provenance. Use this for 'monthly truck crossings at Laredo', 'pedestrian crossings at San Ysidro since 2023', or a reproducible port-volume chart. Counts inbound crossing events, not unique vehicles or people.
Paramètres, retour & exemple (7)
Paramètresport· string · requis
Exact BTS four-digit port code or an unambiguous U.S. land-border port name. Search first when needed.limit· integer · optionnel
Maximum monthly observations. Default 24.offset· integer · optionnel
Observations to skip. Default 0.measure· string · requis · Buses | Bus Passengers | Pedestrians | Personal Vehicle Passengers | Personal Vehicles | Train Passengers | Trains | Trucks
Official BTS crossing measure. Measures have different units and must not be added together.end_month· string · optionnel
Calendar month in YYYY-MM format.start_month· string · optionnel
Calendar month in YYYY-MM format.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "bts_transport_border_trend", "arguments": {"port": "texte", "measure": "Buses"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bts_transport_compare_ports≈ 441 tokens
Compare two to eight U.S. land-border ports on one consistent official BTS crossing measure over a shared rolling window. Ranks ports by current count and returns prior-window count, reported-month completeness, percent change, exact window, stable port codes, and provenance. Use this for 'compare truck crossings at Laredo, El Paso, and Otay Mesa' or 'which selected Canada-border port has more train crossings?'. It does not compare wait times, outbound flows, or cargo value.
Paramètres, retour & exemple (5)
Paramètresports· array · requis
Two to eight exact four-digit port codes or unambiguous port names.measure· string · requis · Buses | Bus Passengers | Pedestrians | Personal Vehicle Passengers | Personal Vehicles | Train Passengers | Trains | Trucks
Official BTS crossing measure. Measures have different units and must not be added together.end_month· string · optionnel
Calendar month in YYYY-MM format.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.trailing_months· integer · optionnel
Months per current/prior comparison window. Default 12.
Exemple d'appel{"name": "bts_transport_compare_ports", "arguments": {"ports": [], "measure": "Buses"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - bts_transport_search_ports≈ 389 tokens
Search U.S. land-border ports in LiveDataLink's self-hosted official BTS Border Crossing Entry snapshot. Returns stable four-digit port codes, state, Canada/Mexico border, coordinates, available crossing measures, coverage, pagination, and source provenance. Use this for 'find the Laredo border port code', 'which Arizona ports have truck crossings?', or to resolve a port before a trend call. Inbound land ports only; not wait times or outbound traffic.
Paramètres, retour & exemple (6)
Paramètreslimit· integer · optionnel
Maximum ports. Default 20.query· string · optionnel
Port name, state, or exact four-digit port code.state· string · optionnel
Exact state name, such as Texas or New York.border· string · optionnel · US-Canada Border | US-Mexico Border
Optional official BTS border label.offset· integer · optionnel
Ports to skip. Default 0.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "bts_transport_search_ports", "arguments": {"limit": 1, "query": "texte", "state": "texte", "border": "US-Canada Border", "offset": 1, "response_format": "markdown"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - candlestick_signals≈ 234 tokens
Detect classic candlestick patterns on a ticker's recent daily bars: hammer, inverted hammer, bullish/bearish engulfing, doji, morning/evening star, and shooting star. Returns each detected pattern with {pattern, date, direction (bullish/bearish/neutral), barIndex}. HEURISTIC pattern detection with conservative default thresholds; for research, not investment advice.
Paramètres, retour & exemple (2)
Paramètressymbol· string · requis
US ticker (e.g. 'MSFT').lookback_days· integer · optionnel
Trailing daily bars to scan for patterns (default 60).
Exemple d'appel{"name": "candlestick_signals", "arguments": {"symbol": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cargo_crate≈ 131 tokens
Look up a Rust crate on crates.io: latest version, description, total downloads, repository, and homepage. Keyless.
Paramètres, retour & exemple (1)
Paramètresname· string · requis
Crate name, e.g. 'serde'.
Exemple d'appel{"name": "cargo_crate", "arguments": {"name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - carrier_monitor_recheck≈ 339 tokens
Recheck an existing carrier snapshot and identify meaningful changes since the previous check. Accepts a DOT/MC/name plus the prior result or snapshot as previous_snapshot, then compares authority, identity, insurance summary, BASIC alerts, crashes, out-of-service indicators, safety rating, and verdict. Returns unchanged/changed status, a severity, field-level changes, and the next reviewer action. Store the returned current_snapshot in your own system and call this on a schedule; LiveDataLink does not silently retain customer watchlists.
Paramètres, retour & exemple (5)
Paramètresmc· integer · optionnel
MC/MX number without the prefix.dot· integer · optionnel
USDOT number (preferred).name· string · optionnel
Carrier legal name when DOT/MC is unavailable.format· string · optionnel · markdown | json
Report format. Defaults to markdown.previous_snapshot· ? · optionnel
Prior carrier_vetting result or JSON snapshot returned by an earlier call.
Exemple d'appel{"name": "carrier_monitor_recheck", "arguments": {"mc": 1, "dot": 1, "name": "texte", "format": "markdown", "previous_snapshot": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - carrier_vetting_batch≈ 285 tokens
Vet a batch of up to 10 US motor carriers by USDOT number in one workflow call. Returns one GO/CAUTION/NO-GO result per carrier, source coverage and failures, key authority/insurance/safety signals, and an export in markdown (default), JSON, or CSV. Use this to screen a broker's candidate list or lane roster; each carrier is evaluated independently so one missing or unavailable record does not hide the others. This is an analytical aid, not a substitute for direct FMCSA verification.
Paramètres, retour & exemple (2)
Paramètresformat· string · optionnel · markdown | json | csv
Export format. Defaults to markdown.dot_numbers· array · requis
1-10 USDOT numbers. A comma-separated string is also accepted for agent convenience.
Exemple d'appel{"name": "carrier_vetting_batch", "arguments": {"dot_numbers": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - carrier_vetting_evidence_pack≈ 299 tokens
Produce an auditable Carrier Vetting Pack for a freight broker. Resolve a US motor carrier by USDOT, MC, or legal name, then return the GO/CAUTION/NO-GO verdict, the exact FMCSA authority/insurance/safety evidence, sanctions/court/federal-award checks, source coverage and failures, retrieval timestamp, primary-source links, and a broker follow-up checklist. This is the evidence-first companion to carrier_vetting_score: use it when a human reviewer needs to save or forward the record. It is an analytical aid, not a substitute for direct FMCSA insurance and authority verification.
Paramètres, retour & exemple (3)
Paramètresmc· integer · optionnel
MC/MX number without the prefix.dot· integer · optionnel
USDOT number (preferred exact identifier).name· string · optionnel
Legal carrier name when DOT/MC is unavailable.
Exemple d'appel{"name": "carrier_vetting_evidence_pack", "arguments": {"mc": 1, "dot": 1, "name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - carrier_vetting_score≈ 412 tokens
Vet a US motor carrier (trucking company) for a freight-brokerage review, in one call. Give a USDOT number, MC number, or carrier name. Joins FMCSA public safety data (operating authority, insurance on file, crash and out-of-service history vs the national average, safety rating, and CSA BASIC indicators where FMCSA publishes them) with sanctions screening (OFAC/UN/EU/BIS on the carrier's legal name), federal-court litigation history (CourtListener), and USAspending federal awards. Returns a GO / CAUTION / NO-GO decision-support result with reasons and the underlying fields. NO-GO is triggered by a sanctions match or lack of active operating authority; CAUTION by published BASIC alerts, fatal crashes, missing required liability insurance, high out-of-service rates, litigation, or an unavailable source. This is an analytical aid, not a substitute for your own carrier-onboarding checks.
Paramètres, retour & exemple (3)
Paramètresmc· integer · optionnel
MC (motor carrier) number, without the 'MC-' prefix. Used if no DOT number is given.dot· integer · optionnel
USDOT number of the carrier (most precise). Example: 76830.name· string · optionnel
Carrier legal name, used if no DOT/MC number is given. The top FMCSA name match is vetted; prefer a DOT number for an exact carrier.
Exemple d'appel{"name": "carrier_vetting_score", "arguments": {"mc": 1, "dot": 1, "name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - caselaw_case_details≈ 154 tokens
Get full metadata for a single case by its CAP id (name, citations, court, jurisdiction, decision date, reporter location, and the source URL for its full text).
Paramètres, retour & exemple (1)
Paramètresid· integer · requis
CAP case id, e.g. 11301409 (Brown v. Board of Education).
Exemple d'appel{"name": "caselaw_case_details", "arguments": {"id": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - caselaw_citation_lookup≈ 172 tokens
Resolve a reporter citation (e.g. '347 U.S. 483', '347 U. S. 483', '384 U.S. 436') to the case it identifies. Matches official and parallel citations. Returns the case metadata including its CAP id for use with caselaw_opinion_text.
Paramètres, retour & exemple (1)
Paramètrescitation· string · requis
A reporter citation, e.g. '347 U.S. 483'.
Exemple d'appel{"name": "caselaw_citation_lookup", "arguments": {"citation": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - caselaw_opinion_text≈ 217 tokens
Fetch the full opinion text of a case on demand by its CAP id. Text is retrieved live from the public-domain CAP static mirror (not stored), and includes each opinion (majority, dissent, concurrence) with its author. Use max_chars to bound the response.
Paramètres, retour & exemple (2)
Paramètresid· integer · requis
CAP case id (from caselaw_search / caselaw_citation_lookup).max_chars· integer · optionnel
Maximum total characters of opinion text (default 50000, max 500000).
Exemple d'appel{"name": "caselaw_opinion_text", "arguments": {"id": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - caselaw_search≈ 325 tokens
Search US court opinions (Caselaw Access Project, public domain) by case name / keyword, court, jurisdiction, and decision-date range. Returns matching case metadata with CAP ids and citations. Use caselaw_opinion_text with a returned id to read the full opinion. Note: v1 index covers the U.S. Reports reporter (official US Supreme Court reporter).
Paramètres, retour & exemple (6)
Paramètrescourt· string · optionnel
Optional court-name fragment, e.g. 'Supreme Court'.limit· integer · optionnel
Maximum rows to return (default 25, max 100).query· string · optionnel
Case name or keyword, e.g. 'Brown Board Education', 'Miranda'.end_date· string · optionnel
Optional ISO date upper bound (YYYY-MM-DD).start_date· string · optionnel
Optional ISO date lower bound (YYYY-MM-DD).jurisdiction· string · optionnel
Optional jurisdiction fragment, e.g. 'United States'.
Exemple d'appel{"name": "caselaw_search", "arguments": {"court": "texte", "limit": 1, "query": "texte", "end_date": "texte", "start_date": "texte", "jurisdiction": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cdc_dataset_query≈ 252 tokens
Generic SoQL query against any data.cdc.gov dataset. Use this when none of the curated tools fit. Accepts a 4x4 Socrata ID and a where-clause. SoQL reference: https://dev.socrata.com/docs/queries/
Paramètres, retour & exemple (5)
Paramètreslimit· integer · optionnel
Max rows (default 50)order· string · optionnel
SoQL order clause (e.g. 'date DESC')where· string · optionnel
SoQL where clause (e.g. "state='Texas' AND year=2024")select· string · optionnel
SoQL select clause (default '*')dataset· string · requis
Socrata 4x4 dataset ID (e.g. 'muzy-jte6')
Exemple d'appel{"name": "cdc_dataset_query", "arguments": {"dataset": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cdc_drug_overdose_deaths≈ 206 tokens
CDC drug overdose deaths by state and indicator (9j2v-jamp). 12-month rolling counts. Useful for opioid/fentanyl/stimulant policy research and treatment-program siting.
Paramètres, retour & exemple (3)
Paramètreslimit· integer · optionnel
Max rows (default 50)indicator· string · optionnel
Drug class (e.g. 'Opioids (T40.0-T40.4,T40.6)', 'Synthetic opioids, excl. methadone (T40.4)')state_name· string · optionnel
Full state name
Exemple d'appel{"name": "cdc_drug_overdose_deaths", "arguments": {"limit": 1, "indicator": "texte", "state_name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cdc_excess_deaths_covid≈ 206 tokens
CDC excess deaths associated with COVID-19 (xkkf-xrst). Modeled expected vs observed deaths by state and week. Used to estimate true pandemic impact beyond reported COVID deaths.
Paramètres, retour & exemple (3)
Paramètreslimit· integer · optionnel
Max rows (default 50)state· string · optionnel
Full state name (e.g. 'Texas') or 'United States'outcome· string · optionnel
Outcome (e.g. 'All causes', 'All causes, excluding COVID-19')
Exemple d'appel{"name": "cdc_excess_deaths_covid", "arguments": {"limit": 1, "state": "texte", "outcome": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cdc_flu_surveillance≈ 176 tokens
CDC FluView state-level influenza surveillance (vh55-3he6). Returns weekly ILI (influenza-like illness) activity levels per state.
Paramètres, retour & exemple (3)
Paramètreslimit· integer · optionnel
Max rows (default 50)season· string · optionnel
Flu season (e.g. '2023-24')statename· string · optionnel
Full state name
Exemple d'appel{"name": "cdc_flu_surveillance", "arguments": {"limit": 1, "season": "texte", "statename": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cdc_leading_causes_of_death≈ 218 tokens
NCHS leading causes of death by state (bi63-dtpu). Returns total deaths and age-adjusted death rates per cause per state per year. Useful for chronic disease + injury mortality research.
Paramètres, retour & exemple (4)
Paramètresyear· integer · optionnel
Yearlimit· integer · optionnel
Max rows (default 50)state· string · optionnel
Full state name or 'United States'cause_name· string · optionnel
Cause name (e.g. 'Heart disease', 'Cancer', 'Suicide')
Exemple d'appel{"name": "cdc_leading_causes_of_death", "arguments": {"year": 1, "limit": 1, "state": "texte", "cause_name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cdc_outbreak_reports≈ 211 tokens
CDC NORS foodborne / waterborne / enteric outbreak reports (iezt-77pi). Returns outbreak date, state, etiology, illnesses, hospitalizations, deaths, and implicated food/exposure.
Paramètres, retour & exemple (4)
Paramètresyear· integer · optionnel
Outbreak yearlimit· integer · optionnel
Max rows (default 50)state· string · optionnel
Full state nameetiology· string · optionnel
Causative agent (e.g. 'Salmonella', 'Norovirus', 'E. coli')
Exemple d'appel{"name": "cdc_outbreak_reports", "arguments": {"year": 1, "limit": 1, "state": "texte", "etiology": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cdc_vaccination_coverage≈ 186 tokens
COVID-19 vaccination coverage by US county (8xkx-amqh). Returns booster + primary series percentages over time. Useful for public-health gap analysis.
Paramètres, retour & exemple (3)
Paramètreslimit· integer · optionnel
Max rows (default 50)recip_state· string · optionnel
Two-letter state code (e.g. 'CA')recip_county· string · optionnel
County name
Exemple d'appel{"name": "cdc_vaccination_coverage", "arguments": {"limit": 1, "recip_state": "texte", "recip_county": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cdc_weekly_deaths_by_state≈ 251 tokens
CDC weekly provisional deaths by state and cause (NCHS dataset muzy-jte6). Returns all-cause and selected-cause death counts per state per ISO week. Useful for excess-mortality and respiratory-disease seasonality analysis.
Paramètres, retour & exemple (4)
Paramètresyear· integer · optionnel
Year (e.g. 2024)cause· string · optionnel
Cause category (e.g. 'All Cause', 'COVID-19 (U071, Multiple Cause of Death)', 'Influenza and pneumonia')limit· integer · optionnel
Max rows (default 50)state· string · optionnel
Full state name or 'United States' for national. Default 'United States'.
Exemple d'appel{"name": "cdc_weekly_deaths_by_state", "arguments": {"year": 1, "cause": "texte", "limit": 1, "state": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - census_business≈ 423 tokens
Business establishments, employment, and annual payroll from County Business Patterns. Optional NAICS industry filter. Used for industry research, competitive intel, supply chain analysis.
Paramètres, retour & exemple (9)
Paramètresmsa· string · optionnel
5-digit Metropolitan Statistical Area code. Required for msa level.year· integer · optionnel
ACS 5-year endpoint year (default 2023).zcta· string · optionnel
5-digit ZIP Code Tabulation Area. Required for zcta level.level· string · requis · us | state | county | zcta | place | tract | msa
Geography level: 'us', 'state', 'county', 'zcta' (ZIP), 'place' (city), 'tract', 'msa'.naics· string · optionnel
Optional NAICS 2017 industry code (2 to 6 digits). E.g. '23' for Construction, '54' for Professional Services.place· string · optionnel
Census place FIPS (city). Required for place level.state· string · optionnel
2-letter state code (e.g. 'TX') or 2-digit FIPS. Required for state/county/place/tract levels.tract· string · optionnel
6-digit census tract code. Use '*' for all tracts in a county.county· string · optionnel
3-digit county FIPS. Use '*' for all counties in a state. Required for county/tract levels.
Exemple d'appel{"name": "census_business", "arguments": {"level": "us"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - census_commute_employment≈ 384 tokens
Labor force, unemployment, commute times, public transit usage, work-from-home rates for a US geography. Used for site selection, workforce analysis, commercial real estate.
Paramètres, retour & exemple (8)
Paramètresmsa· string · optionnel
5-digit Metropolitan Statistical Area code. Required for msa level.year· integer · optionnel
ACS 5-year endpoint year (default 2023).zcta· string · optionnel
5-digit ZIP Code Tabulation Area. Required for zcta level.level· string · requis · us | state | county | zcta | place | tract | msa
Geography level: 'us', 'state', 'county', 'zcta' (ZIP), 'place' (city), 'tract', 'msa'.place· string · optionnel
Census place FIPS (city). Required for place level.state· string · optionnel
2-letter state code (e.g. 'TX') or 2-digit FIPS. Required for state/county/place/tract levels.tract· string · optionnel
6-digit census tract code. Use '*' for all tracts in a county.county· string · optionnel
3-digit county FIPS. Use '*' for all counties in a state. Required for county/tract levels.
Exemple d'appel{"name": "census_commute_employment", "arguments": {"level": "us"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - census_demographics≈ 386 tokens
Race, ethnicity, and age breakdown for a US geography. Returns counts for white, black, Asian, AIAN, NHPI, other, two-or-more, plus Hispanic/Latino total and median age. Source: ACS 5-year.
Paramètres, retour & exemple (8)
Paramètresmsa· string · optionnel
5-digit Metropolitan Statistical Area code. Required for msa level.year· integer · optionnel
ACS 5-year endpoint year (default 2023).zcta· string · optionnel
5-digit ZIP Code Tabulation Area. Required for zcta level.level· string · requis · us | state | county | zcta | place | tract | msa
Geography level: 'us', 'state', 'county', 'zcta' (ZIP), 'place' (city), 'tract', 'msa'.place· string · optionnel
Census place FIPS (city). Required for place level.state· string · optionnel
2-letter state code (e.g. 'TX') or 2-digit FIPS. Required for state/county/place/tract levels.tract· string · optionnel
6-digit census tract code. Use '*' for all tracts in a county.county· string · optionnel
3-digit county FIPS. Use '*' for all counties in a state. Required for county/tract levels.
Exemple d'appel{"name": "census_demographics", "arguments": {"level": "us"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - census_geography_lookup≈ 230 tokens
Look up Census FIPS codes by name. Supports state name or 2-letter code, ZIP code (5 digits), and (for state) substring matching. Use this to find the FIPS codes needed by other census_* tools.
Paramètres, retour & exemple (3)
Paramètreslevel· string · optionnel · state | county | zcta | place
Optional filter: state, county, zcta, place.limit· integer · optionnel
Max matches (default 10).query· string · requis
Free-text: state name ('Texas'), state code ('TX'), or 5-digit ZIP ('77301').
Exemple d'appel{"name": "census_geography_lookup", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - census_income_housing≈ 394 tokens
Median household income, per capita income, housing units, owner vs renter occupancy, median home value, median gross and contract rent for a US geography. Used for real estate AI, market analysis, location-based pricing.
Paramètres, retour & exemple (8)
Paramètresmsa· string · optionnel
5-digit Metropolitan Statistical Area code. Required for msa level.year· integer · optionnel
ACS 5-year endpoint year (default 2023).zcta· string · optionnel
5-digit ZIP Code Tabulation Area. Required for zcta level.level· string · requis · us | state | county | zcta | place | tract | msa
Geography level: 'us', 'state', 'county', 'zcta' (ZIP), 'place' (city), 'tract', 'msa'.place· string · optionnel
Census place FIPS (city). Required for place level.state· string · optionnel
2-letter state code (e.g. 'TX') or 2-digit FIPS. Required for state/county/place/tract levels.tract· string · optionnel
6-digit census tract code. Use '*' for all tracts in a county.county· string · optionnel
3-digit county FIPS. Use '*' for all counties in a state. Required for county/tract levels.
Exemple d'appel{"name": "census_income_housing", "arguments": {"level": "us"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - census_population≈ 392 tokens
Get total population for a US geography (state, county, ZIP/ZCTA, city, census tract, MSA, or national). Returns total, male, female, and median age. Used for market sizing, location intelligence, demographic analysis.
Paramètres, retour & exemple (8)
Paramètresmsa· string · optionnel
5-digit Metropolitan Statistical Area code. Required for msa level.year· integer · optionnel
ACS 5-year endpoint year (default 2023).zcta· string · optionnel
5-digit ZIP Code Tabulation Area. Required for zcta level.level· string · requis · us | state | county | zcta | place | tract | msa
Geography level: 'us', 'state', 'county', 'zcta' (ZIP), 'place' (city), 'tract', 'msa'.place· string · optionnel
Census place FIPS (city). Required for place level.state· string · optionnel
2-letter state code (e.g. 'TX') or 2-digit FIPS. Required for state/county/place/tract levels.tract· string · optionnel
6-digit census tract code. Use '*' for all tracts in a county.county· string · optionnel
3-digit county FIPS. Use '*' for all counties in a state. Required for county/tract levels.
Exemple d'appel{"name": "census_population", "arguments": {"level": "us"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cfpb_complaint_aggregations≈ 202 tokens
Aggregate complaint counts by a single facet (product, issue, company, state, company_response, or submitted_via). Useful for ranking companies by complaint volume or finding the most common issue categories.
Paramètres, retour & exemple (2)
Paramètresfacet· string · requis · product | issue | company | state | company_response | submitted_via
Field to aggregate bycompany· string · optionnel
Optional company filter
Exemple d'appel{"name": "cfpb_complaint_aggregations", "arguments": {"facet": "product"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cfpb_complaint_detail≈ 135 tokens
Fetch a single CFPB complaint by complaint_id. Returns the full record including narrative if consented.
Paramètres, retour & exemple (1)
Paramètrescomplaint_id· string · requis
CFPB complaint ID
Exemple d'appel{"name": "cfpb_complaint_detail", "arguments": {"complaint_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cfpb_complaint_trends≈ 306 tokens
Time-series trends of complaint volume. lens=overview shows total complaints over time; lens=product shows by product; lens=company shows by company; lens=issue shows by issue. Interval can be month, quarter, or year.
Paramètres, retour & exemple (7)
Paramètreslens· string · requis · overview | product | issue | company
Trend dimensionproduct· string · optionnel
Filter to a specific productsub_lens· string · optionnel
Optional sub-dimensiontrend_depth· integer · optionnel
Top N to track (default 5)trend_interval· string · optionnel · month | quarter | year
Time bucket sizedate_received_max· string · optionnel
YYYY-MM-DD upper bounddate_received_min· string · optionnel
YYYY-MM-DD lower bound
Exemple d'appel{"name": "cfpb_complaint_trends", "arguments": {"lens": "overview"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cfpb_search_complaints≈ 367 tokens
Search the CFPB Consumer Complaint Database (4M+ complaints submitted against financial companies since 2011). Filter by free-text term, company, product, state, date range, and narrative-presence. Returns complaint metadata plus public narratives when available.
Paramètres, retour & exemple (9)
Paramètresfrom· integer · optionnel
Pagination offset (default 0)size· integer · optionnel
Page size (default 25, max 100)state· string · optionnel
Two-letter state codecompany· string · optionnel
Exact company name (use cfpb_suggest_company for fuzzy matching)product· string · optionnel
CFPB product category (e.g. 'Credit reporting', 'Mortgage', 'Debt collection')search_term· string · optionnel
Free-text search across all complaint fieldshas_narrative· boolean · optionnel
Only complaints with consumer narrativesdate_received_max· string · optionnel
YYYY-MM-DD upper bounddate_received_min· string · optionnel
YYYY-MM-DD lower bound
Exemple d'appel{"name": "cfpb_search_complaints", "arguments": {"from": 1, "size": 1, "state": "texte", "company": "texte", "product": "texte", "search_term": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cfpb_state_complaints≈ 179 tokens
Complaint counts and percentages per US state, with optional product filter and date range. Useful for state-level financial-consumer risk maps.
Paramètres, retour & exemple (3)
Paramètresproduct· string · optionnel
Optional product filterdate_received_max· string · optionnel
YYYY-MM-DD upper bounddate_received_min· string · optionnel
YYYY-MM-DD lower bound
Exemple d'appel{"name": "cfpb_state_complaints", "arguments": {"product": "texte", "date_received_max": "texte", "date_received_min": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cfpb_suggest_company≈ 146 tokens
Auto-complete company names. Returns up to 10 suggestions matching the partial input. Use the results as exact values for cfpb_search_complaints' company parameter.
Paramètres, retour & exemple (1)
Paramètrestext· string · requis
Partial company name
Exemple d'appel{"name": "cfpb_suggest_company", "arguments": {"text": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cftc_cot_compare≈ 436 tokens
Compare the latest reported CFTC COT position for two to eight contract markets using one consistent report family, scope, and trader category. Returns stable market codes, exact dates, long/short/net positions, open interest, ranking, and provenance. Use this for 'compare managed-money positioning in oil, gold, and copper' or 'which selected market has the largest commercial net position?'. It compares published aggregates only and does not recommend trades.
Paramètres, retour & exemple (5)
Paramètresscope· string · optionnel · futures_only | futures_and_options
Futures-only or futures-and-options-combined view. Defaults to futures_only, except CIT (combined only).markets· array · requis
Two to eight exact CFTC contract codes or unambiguous names.category· string · requis
A category valid for the selected report_type.report_type· string · requis · legacy | disaggregated | tff | cit
CFTC report family. Categories differ by family; use search or the evidence pack to discover available families.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "cftc_cot_compare", "arguments": {"markets": [], "category": "texte", "report_type": "legacy"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cftc_cot_evidence_pack≈ 293 tokens
Combine all hosted official CFTC COT report-family and scope views available for one contract market into a single provenance-backed evidence pack. Surfaces open interest and the largest absolute reported category net for each view while explicitly preserving incompatible family classifications. Use this for 'build a COT evidence pack for gold' or 'show every CFTC positioning lens for crude oil'. Designed for research synthesis; not real-time data, a forecast, or trading advice.
Paramètres, retour & exemple (2)
Paramètresmarket· string · requis
Exact CFTC contract market code or contract name. Search first when the name is ambiguous.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "cftc_cot_evidence_pack", "arguments": {"market": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cftc_cot_history≈ 607 tokens
Return a bounded weekly history for one CFTC contract market, report family, scope, and trader category from the self-hosted official snapshot. Includes long, short, spreading, net, changes, percentages, open interest, pagination, source ids, and provenance. Use this for 'managed money net positions in crude oil over time', 'commercial gold COT history', or a reproducible positioning chart. Report-family categories are enforced; not trading advice.
Paramètres, retour & exemple (9)
Paramètreslimit· integer · optionnel
Maximum weekly observations. Default 20.scope· string · optionnel · futures_only | futures_and_options
Futures-only or futures-and-options-combined view. Defaults to futures_only, except CIT (combined only).market· string · requis
Exact CFTC contract market code or contract name. Search first when the name is ambiguous.offset· integer · optionnel
Observations to skip. Default 0.category· string · requis
Family-specific category: noncommercial/commercial; producer_merchant_processor_user/swap_dealer/managed_money/other_reportables; dealer_intermediary/asset_manager_institutional/leveraged_funds/other_reportables; or noncommercial_ex_cit/commercial_ex_cit/commodity_index_trader.end_date· string · optionnel
Optional latest report date, YYYY-MM-DD.start_date· string · optionnel
Optional earliest report date, YYYY-MM-DD.report_type· string · requis · legacy | disaggregated | tff | cit
CFTC report family. Categories differ by family; use search or the evidence pack to discover available families.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "cftc_cot_history", "arguments": {"market": "texte", "category": "texte", "report_type": "legacy"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cftc_cot_latest≈ 290 tokens
Return the latest available official CFTC COT position snapshot for one contract market across every hosted report family and scope. Includes open interest, long/short/spreading positions, net arithmetic, percentages, trader counts when published, exact report date, source record ids, and provenance. Use this for 'latest managed-money positioning in crude oil' or 'show current COT categories for gold'. It describes delayed aggregate positions, not a trade signal or recommendation.
Paramètres, retour & exemple (2)
Paramètresmarket· string · requis
Exact CFTC contract market code or contract name. Search first when the name is ambiguous.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "cftc_cot_latest", "arguments": {"market": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cftc_cot_search_markets≈ 434 tokens
Search contract markets in LiveDataLink's self-hosted official CFTC Commitments of Traders snapshot. Returns stable CFTC contract market codes, names, commodity/exchange labels, available report families and scopes, latest date, pagination, and snapshot provenance. Use this for 'find the CFTC code for gold', 'which COT markets cover crude oil?', or to resolve an identifier before a history call. Aggregate US futures and options markets only; not quotes or prices.
Paramètres, retour & exemple (6)
Paramètreslimit· integer · optionnel
Maximum markets. Default 20.query· string · optionnel
Commodity, contract, exchange, or exact contract market code.scope· string · optionnel · futures_only | futures_and_options
Futures-only or futures-and-options-combined view. Defaults to futures_only, except CIT (combined only).offset· integer · optionnel
Markets to skip. Default 0.report_type· string · optionnel · legacy | disaggregated | tff | cit
CFTC report family. Categories differ by family; use search or the evidence pack to discover available families.response_format· string · optionnel · markdown | json
Human-readable markdown or machine-readable JSON. Default markdown.
Exemple d'appel{"name": "cftc_cot_search_markets", "arguments": {"limit": 1, "query": "texte", "scope": "futures_only", "offset": 1, "report_type": "legacy", "response_format": "markdown"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - chemical_hazards≈ 265 tokens
Return the public GHS (Globally Harmonized System) hazard classification for a chemical from the NIH/NLM PubChem database (keyless, public-domain data). Given a chemical name or PubChem CID, it resolves the compound and returns the GHS signal word (Danger/Warning) and the list of GHS hazard statements (e.g. 'H302: Harmful if swallowed'). If PubChem has no GHS classification on file for the compound, that is reported gracefully. This is informational public GHS classification data, not regulatory guidance or a safety data sheet - verify against an official SDS before handling any chemical.
Paramètres, retour & exemple (1)
Paramètresquery· string · requis
A chemical name (e.g. 'acetone', 'aspirin') or a numeric PubChem CID.
Exemple d'appel{"name": "chemical_hazards", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - chemical_lookup≈ 232 tokens
Resolve a chemical name (e.g. 'aspirin', 'caffeine') or a PubChem CID to its core identity and physical properties using the NIH/NLM PubChem public database (keyless, public-domain data). Returns the PubChem Compound ID (CID), IUPAC systematic name, molecular formula, molecular weight (g/mol), and the canonical SMILES structure string. Use it to disambiguate a substance and obtain a stable CID join key for further chemistry or safety lookups.
Paramètres, retour & exemple (1)
Paramètresquery· string · requis
A chemical name (e.g. 'aspirin', 'sodium chloride') or a numeric PubChem CID (e.g. '2244').
Exemple d'appel{"name": "chemical_lookup", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - clinical_site_selector≈ 533 tokens
One-call clinical-trial-activity + local-specialist-availability read for a medical condition in a US geography - the question a trial sponsor, CRO, or site-feasibility analyst asks before choosing where to run a study. Joins three keyless public sources: ClinicalTrials.gov (exact count of RECRUITING trials for the condition, scoped to the geography and compared to the national total, plus the top lead sponsors and phase mix from the recruiting sample), the NPPES NPI Registry (local specialist availability - how many providers carry a specialty taxonomy relevant to the condition in the area, across physicians and NPs/PAs/pharmacists/RNs in the field), and optionally US Census ACS population context for the state (needs a Census key; degrades gracefully). The condition is mapped to a provider specialty heuristically; pass an explicit 'specialty' to override. Returns a readable brief with a headline banding trial activity (HIGH/MODERATE/LOW/NONE) and specialist availability. A source that fails is noted, not fatal. INFORMATIONAL research / site-feasibility synthesis, NOT medical advice or a directive to enroll in any trial.
Paramètres, retour & exemple (4)
Paramètrescity· string · optionnel
Optional city to further localize the trial-location and provider search (e.g. 'Houston'); use with state.state· string · optionnel
Optional 2-letter US state to scope trial and provider counts (e.g. 'TX'). Omit for a national read.condition· string · requis
Medical condition / disease to evaluate (e.g. 'melanoma', 'type 2 diabetes', 'Alzheimer disease').specialty· string · optionnel
Optional NPPES specialty taxonomy keyword to override the condition-to-specialty mapping (e.g. 'Cardiology', 'Endocrinology').
Exemple d'appel{"name": "clinical_site_selector", "arguments": {"condition": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cms_home_health_search≈ 212 tokens
Search Medicare-certified home health agencies from CMS Home Health Compare. Returns agency name, address, services offered, and quality ratings.
Paramètres, retour & exemple (4)
Paramètreslimit· integer · optionnel
Max results (default 25)state· string · optionnel
Two-letter state code (e.g. 'CA', 'NY')offset· integer · optionnel
Pagination offset (default 0)name_contains· string · optionnel
Partial provider name match
Exemple d'appel{"name": "cms_home_health_search", "arguments": {"limit": 1, "state": "texte", "offset": 1, "name_contains": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cms_hospice_search≈ 207 tokens
Search Medicare-certified hospice agencies from CMS Hospice Compare. Returns provider name, address, ownership, and quality measures.
Paramètres, retour & exemple (4)
Paramètreslimit· integer · optionnel
Max results (default 25)state· string · optionnel
Two-letter state code (e.g. 'CA', 'NY')offset· integer · optionnel
Pagination offset (default 0)name_contains· string · optionnel
Partial provider name match
Exemple d'appel{"name": "cms_hospice_search", "arguments": {"limit": 1, "state": "texte", "offset": 1, "name_contains": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cms_hospital_search≈ 255 tokens
Search Medicare-certified hospitals from the CMS Hospital General Information dataset. Returns facility name, address, ownership type, emergency-services flag, and CMS overall star rating (1-5). Filter by state, city, and partial facility-name match.
Paramètres, retour & exemple (5)
Paramètrescity· string · optionnel
City name (case-insensitive)limit· integer · optionnel
Max results (default 25)state· string · optionnel
Two-letter state code (e.g. 'CA', 'NY')offset· integer · optionnel
Pagination offset (default 0)name_contains· string · optionnel
Partial provider name match
Exemple d'appel{"name": "cms_hospital_search", "arguments": {"city": "texte", "limit": 1, "state": "texte", "offset": 1, "name_contains": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cms_nursing_home_search≈ 216 tokens
Search Medicare-certified nursing homes from CMS Nursing Home Compare. Returns name, address, ownership, certification status, total beds, and quality measures.
Paramètres, retour & exemple (4)
Paramètreslimit· integer · optionnel
Max results (default 25)state· string · optionnel
Two-letter state code (e.g. 'CA', 'NY')offset· integer · optionnel
Pagination offset (default 0)name_contains· string · optionnel
Partial provider name match
Exemple d'appel{"name": "cms_nursing_home_search", "arguments": {"limit": 1, "state": "texte", "offset": 1, "name_contains": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - college_accreditation≈ 139 tokens
Current institutional accreditation status, accreditor, and (when published by DAPIP) last action date and programmatic accreditations.
Paramètres, retour & exemple (1)
Paramètresunit_id· string · requis
IPEDS UNITID.
Exemple d'appel{"name": "college_accreditation", "arguments": {"unit_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - college_compare≈ 146 tokens
Side-by-side comparison of 2-5 schools across cost, outcomes, and admissions metrics. Pass UNITIDs.
Paramètres, retour & exemple (1)
Paramètresunit_ids· array · requis
Array of 2-5 IPEDS UNITIDs.
Exemple d'appel{"name": "college_compare", "arguments": {"unit_ids": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - college_demographics≈ 141 tokens
Student-body demographics for one school: race/ethnicity, gender, age (under/over 25), and geographic origin (in-state, out-of-state, foreign).
Paramètres, retour & exemple (1)
Paramètresunit_id· string · requis
IPEDS UNITID.
Exemple d'appel{"name": "college_demographics", "arguments": {"unit_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - college_metrics≈ 164 tokens
Cost and outcome metrics for one school: published tuition (in-state and out-of-state), average net price, six-year graduation rate, first-year retention, median earnings ten years after entry, admission rate, and SAT/ACT ranges.
Paramètres, retour & exemple (1)
Paramètresunit_id· string · requis
IPEDS UNITID (Scorecard 'id').
Exemple d'appel{"name": "college_metrics", "arguments": {"unit_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - college_outcomes_by_program≈ 145 tokens
Program-level outcomes (4-digit CIP code) for one school: median earnings one year after completion, median debt at completion, and award counts.
Paramètres, retour & exemple (1)
Paramètresunit_id· string · requis
IPEDS UNITID.
Exemple d'appel{"name": "college_outcomes_by_program", "arguments": {"unit_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - college_search≈ 280 tokens
Search US colleges and universities by name, state, control type, size, or accreditor. Returns matching institutions with location, control, predominant degree, and enrollment.
Paramètres, retour & exemple (6)
Paramètresname· string · optionnel
Substring of the institution name.size· string · optionnel · very_small | small | medium | large | very_large
Carnegie size bucket.limit· number · optionnel
Max results, 1-100. Default 25.state· string · optionnel
Two-letter state code (e.g. TX).control· string · optionnel · public | private_nonprofit | private_forprofit
Institutional control.accreditor· string · optionnel
Substring match against the school's institutional accreditor.
Exemple d'appel{"name": "college_search", "arguments": {"name": "texte", "size": "very_small", "limit": 1, "state": "texte", "control": "public", "accreditor": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - college_trends≈ 228 tokens
Multi-year trend for one school sourced from the Urban Institute Education Data Portal (IPEDS). Choose a metric (enrollment, graduation_rate, retention, cost) and a year range.
Paramètres, retour & exemple (4)
Paramètresmetric· string · requis · enrollment | graduation_rate | retention | cost
Trend metric.unit_id· string · requis
IPEDS UNITID.end_year· number · requis
Last academic year, e.g. 2022.start_year· number · requis
First academic year, e.g. 2010.
Exemple d'appel{"name": "college_trends", "arguments": {"metric": "enrollment", "unit_id": "texte", "end_year": 1, "start_year": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - college_value_score≈ 397 tokens
One-call 'is this degree worth the cost' read for a US college (and optionally a named program). Joins the College Scorecard / IPEDS education domain (average net price, six-year completion rate, median earnings ten years after entry, and - when a program is named - program-level median debt and 1-year earnings) with a keyless BLS wage context (CES average hourly earnings, annualized) to place those earnings against the broad US private-sector wage. Returns a plain read - STRONG VALUE / FAIR / WEAK VALUE / INSUFFICIENT DATA - with the cost-vs-earnings evidence itemized and each sub-signal scored. A source that fails is noted, not fatal. Premium cross-source synthesis; Scorecard earnings cover federally-aided students only and lag by years. Informational only, not admissions, financial, or career advice.
Paramètres, retour & exemple (3)
Paramètresstate· string · optionnel
Optional 2-letter state to disambiguate the school name (e.g. 'OH').college· string · requis
US college/university name (e.g. 'University of Michigan', 'Ohio State University').program· string · optionnel
Optional program name or CIP prefix (e.g. 'Nursing', 'Computer Science') to add program-level debt-vs-earnings evidence.
Exemple d'appel{"name": "college_value_score", "arguments": {"college": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - company_complaint_profile≈ 450 tokens
One-call CONSUMER-RISK read for a company or brand, LED by the consumer-complaint picture. Joins three public-record legs, CFPB first: CFPB Consumer Complaint Database (complaint volume for the company plus the top complaint products and issues - the primary signal), product recalls (CPSC consumer products + openFDA drug/device/food enforcement, keyed by the company), and federal-court litigation (CourtListener dockets whose caption actually names the company). Returns a rolled-up read (LOW / MODERATE / ELEVATED consumer-risk signals) that leads with complaint volume and the top complaint products/issues, then folds in recall count and severity (FDA Class I / death-related = high) and litigation hits (total + last-3-years). A leg that fails is noted, not fatal. This is consumer-complaint-centered and distinct from product_liability_screen (recall/litigation-centered for manufacturers). NHTSA vehicle recalls need a specific year+make+model so are out of scope here (use recall_screen for a vehicle). Premium cross-source synthesis; informational public-record synthesis, NOT legal advice.
Paramètres, retour & exemple (3)
Paramètressince· string · optionnel
Optional lower-bound date (YYYY-MM-DD) for FDA recalls.state· string · optionnel
Optional 2-letter state to scope the CFPB complaint leg (e.g. 'CA').company· string · requis
Company or brand name to profile (e.g. 'Wells Fargo', 'Peloton').
Exemple d'appel{"name": "company_complaint_profile", "arguments": {"company": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - company_info≈ 218 tokens
Get company profile and financial fundamentals. Returns sector, industry, employee count, business description, revenue, gross profit, EBITDA, profit margins, EPS, P/E ratio, forward P/E, dividend yield, beta, market cap, and shares outstanding. Use this for "tell me about Apple", "what does this company do?", "company financials", "what sector is Netflix in?", "how many employees does Tesla have?", or any company research question.
Paramètres, retour & exemple (1)
Paramètressymbol· string · requis
Stock ticker symbol (e.g., "AAPL")
Exemple d'appel{"name": "company_info", "arguments": {"symbol": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - company_trust_check≈ 428 tokens
One-call public-record trust read for a company - answers 'can I trust this company?' for KYB/vendor-diligence agents. Joins the LiveDataLink sources that carry a legitimacy or risk signal into a single standing read: an OFAC SDN / EU / UN / BIS sanctions screen (a hit is decisive), SEC EDGAR registration plus the latest filing date (legitimacy + recency), USAspending federal award history (the US government transacts with them), and EPA ECHO facility compliance (significant-non-compliance, penalty, and non-compliant-quarter flags). Returns a plain-English verdict band (ESTABLISHED PUBLIC-RECORD STANDING / STANDING WITH FLAGS / LIMITED FOOTPRINT / SANCTIONS SCREEN HIT), the positive signals, the flags to review, and the resolved identifiers. A source that fails is noted, not fatal. This is a public-record SIGNAL read, not a credit report, background check, or endorsement: absence of a record is not proof of wrongdoing and a match is not proof of guilt. Premium cross-source synthesis.
Paramètres, retour & exemple (3)
Paramètresstate· string · optionnel
Optional 2-letter state to disambiguate the EPA facility search.ticker· string · optionnel
Optional stock ticker hint to pin the SEC EDGAR match (e.g. 'LMT').company· string · requis
Company or organization name to check (e.g. 'Lockheed Martin', 'Acme Widgets LLC').
Exemple d'appel{"name": "company_trust_check", "arguments": {"company": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - congress_bill_actions≈ 248 tokens
Get the chronological legislative action history for one bill (introductions, committee referrals, votes, becoming law). Requires Congress number, bill type, and bill number.
Paramètres, retour & exemple (4)
Paramètreslimit· number · optionnel
Max actions (default 50).congress· number · requis
Congress number.bill_type· string · requis · hr | s | hjres | sjres | hconres | sconres | hres | sres
Bill type code: hr (House Bill), s (Senate Bill), hjres, sjres, hconres, sconres, hres, sres.bill_number· number · requis
Bill number.
Exemple d'appel{"name": "congress_bill_actions", "arguments": {"congress": 1, "bill_type": "hr", "bill_number": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - congress_bill_cosponsors≈ 247 tokens
List the cosponsors of one bill with their party and state. Useful for mapping coalitions behind legislation. Requires Congress number, bill type, and bill number.
Paramètres, retour & exemple (4)
Paramètreslimit· number · optionnel
Max cosponsors (default 250).congress· number · requis
Congress number.bill_type· string · requis · hr | s | hjres | sjres | hconres | sconres | hres | sres
Bill type code: hr (House Bill), s (Senate Bill), hjres, sjres, hconres, sconres, hres, sres.bill_number· number · requis
Bill number.
Exemple d'appel{"name": "congress_bill_cosponsors", "arguments": {"congress": 1, "bill_type": "hr", "bill_number": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - congress_bill_details≈ 240 tokens
Get full detail for one bill, including title, sponsor, latest action, policy area, and a cosponsor party breakdown. Requires the Congress number, bill type, and bill number (e.g. 118, 'hr', 3076).
Paramètres, retour & exemple (3)
Paramètrescongress· number · requis
Congress number, e.g. 118.bill_type· string · requis · hr | s | hjres | sjres | hconres | sconres | hres | sres
Bill type code: hr (House Bill), s (Senate Bill), hjres, sjres, hconres, sconres, hres, sres.bill_number· number · requis
Bill number, e.g. 3076.
Exemple d'appel{"name": "congress_bill_details", "arguments": {"congress": 1, "bill_type": "hr", "bill_number": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - congress_house_votes≈ 156 tokens
List recent U.S. House roll-call votes for a Congress, with vote number, question, result, and date. Defaults to the current Congress.
Paramètres, retour & exemple (2)
Paramètreslimit· number · optionnel
Max votes (default 20).congress· number · optionnel
Congress number (default current, 91).
Exemple d'appel{"name": "congress_house_votes", "arguments": {"limit": 1, "congress": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - congress_member_details≈ 148 tokens
Get detailed profile for one member of Congress by bioguide ID (e.g. 'P000197'), including party history, terms served, and leadership roles.
Paramètres, retour & exemple (1)
Paramètresbioguide_id· string · requis
Bioguide ID, e.g. 'P000197'.
Exemple d'appel{"name": "congress_member_details", "arguments": {"bioguide_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - congress_recent_laws≈ 191 tokens
List bills that have become public or private law in a given Congress. Defaults to the current Congress. Use law_type 'pub' for public laws or 'priv' for private laws.
Paramètres, retour & exemple (3)
Paramètreslimit· number · optionnel
Max results (default 20).congress· number · optionnel
Congress number (default current, 91).law_type· string · optionnel · pub | priv
Law type: 'pub' or 'priv'.
Exemple d'appel{"name": "congress_recent_laws", "arguments": {"limit": 1, "congress": 1, "law_type": "pub"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - congress_search_bills≈ 269 tokens
Search or list recent U.S. federal bills and resolutions from Congress.gov. Returns the most recently updated bills, optionally scoped to a Congress number or filtered by a free-text query. Use this to find legislation by topic or to see what is currently moving.
Paramètres, retour & exemple (5)
Paramètressort· string · optionnel
Sort order, e.g. 'updateDate+desc' (default) or 'updateDate+asc'.limit· number · optionnel
Max results (1-250, default 20).query· string · optionnel
Optional free-text keyword filter (e.g. 'inflation', 'semiconductor').offset· number · optionnel
Pagination offset.congress· number · optionnel
Congress number (e.g. 91 is current). Omit for all.
Exemple d'appel{"name": "congress_search_bills", "arguments": {"sort": "texte", "limit": 1, "query": "texte", "offset": 1, "congress": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - congress_search_members≈ 228 tokens
Search members of Congress, optionally filtered by Congress number, two-letter state, and district. Returns name, party, chamber, and bioguide ID (use that ID with congress_member_details).
Paramètres, retour & exemple (5)
Paramètreslimit· number · optionnel
Max results (default 20).state· string · optionnel
Two-letter state code, e.g. 'TX'.congress· number · optionnel
Congress number.district· number · optionnel
House district number.current_member· boolean · optionnel
Limit to currently-serving members.
Exemple d'appel{"name": "congress_search_members", "arguments": {"limit": 1, "state": "texte", "congress": 1, "district": 1, "current_member": true}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - corporate_ownership_tree≈ 432 tokens
One-call FULL corporate-ownership tree for a company from GLEIF (keyless CC0 reference data). Give a company name or a 20-character LEI; the tool resolves the entity, climbs to its ULTIMATE parent (top of the ownership chain), then walks DOWN from that root to list the reported direct subsidiaries plus one level of grand-subsidiaries, each with its LEI, jurisdiction, and status (entity ACTIVE/INACTIVE + LEI registration ISSUED/LAPSED). The queried entity is marked in the tree so you can see where it sits. Distinct from resolve_entity, which returns the ultimate parent plus a subsidiary COUNT only: this returns the actual subsidiary LIST/tree for M&A, diligence, and counterparty mapping. The tree is capped (about 25 nodes) so a broad conglomerate stays bounded, with an 'and N more' note where GLEIF reports additional subsidiaries. Only relationships an entity self-reports to GLEIF are shown, so coverage varies by company. A failing hierarchy hop is noted, not fatal. Informational public-record synthesis; verify against GLEIF before relying on it.
Paramètres, retour & exemple (2)
Paramètreslei· string · optionnel
Optional exact 20-character LEI code to anchor the tree directly (e.g. '5493006MHB84DD0ZWV18'). Overrides a name search.company· string · optionnel
Company / organization name (e.g. 'Alphabet Inc.', 'JPMorgan') or a 20-character LEI code. Provide this or 'lei'.
Exemple d'appel{"name": "corporate_ownership_tree", "arguments": {"lei": "texte", "company": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cost_of_doing_business_index≈ 430 tokens
One-call comparative 'cost of operating a business here' read for a US state (with optional metro context). Joins three independent public sources, each a real operating-cost dimension expressed RELATIVE to the US national average (national = 1.00) so the result is a readable, comparable index: LABOR cost from BLS QCEW private-sector average annual pay across all industries (keyless), ENERGY cost from EIA retail electricity price for the commercial and industrial sectors (state vs national), and local CONTEXT from US Census ACS median household income, per-capita income, and median gross rent (needs a Census key; degrades gracefully). Returns a headline relative-cost banding (LOW / MODERATE / HIGH cost vs national) from a labor-weighted composite of the labor and energy indices, with each dimension's numbers and its own banding shown. Labor and energy are state-level; a supplied metro refines the context leg and label only. A source that fails is noted, not fatal. Informational, not a guarantee.
Paramètres, retour & exemple (2)
Paramètresmetro· string · optionnel
Optional 5-digit CBSA/metro code (e.g. '12420' for Austin, TX) to refine the Census local-context leg and the label. Labor and energy remain state-level.state· string · requis
US state as a 2-letter code (e.g. 'TX', 'CA', 'NY') or 2-digit FIPS (e.g. '48'). Required.
Exemple d'appel{"name": "cost_of_doing_business_index", "arguments": {"state": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - counterparty_risk_score≈ 329 tokens
Compute a composite 0-100 Counterparty Risk Score for a company name. Combines findings from sanctions screening (OFAC/UN/EU/BIS), SEC EDGAR (registered-filer signal), federal courts (litigation history), EPA ECHO (environmental enforcement), and USAspending (federal contract vetting) into a single weighted metric with an explainable evidence chain. Returns: score, risk band (clean/low/moderate/elevated/high/critical), itemized evidence with citations, sources queried, sources that failed, and a plain-text summary suitable for an AI agent to surface to a user. Sanctions hits zero the score regardless of other signals. Use this when you need a single-call counterparty risk verdict instead of stitching five separate queries.
Paramètres, retour & exemple (1)
Paramètrescompany_name· string · requis
Company or entity name to score. Examples: 'Lockheed Martin', 'Acme Holdings BV', 'Pfizer Inc'. Common suffixes (Inc/LLC/Ltd/Corp) are normalized automatically.
Exemple d'appel{"name": "counterparty_risk_score", "arguments": {"company_name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - court_case_search≈ 246 tokens
Search federal and state court opinions by keyword, court, judge, party name, or date range. Returns case summaries with citations.
Paramètres, retour & exemple (7)
Paramètrescourt· string · optionnel
Court ID, e.g. 'scotus', 'ca9', 'nysd'.judge· string · optionnel
Judge name filter.limit· number · optionnel
Max results (1-50, default 10).party· string · optionnel
Party name filter.query· string · optionnel
Free-text search query.date_filed_after· string · optionnel
ISO date YYYY-MM-DD.date_filed_before· string · optionnel
ISO date YYYY-MM-DD.
Exemple d'appel{"name": "court_case_search", "arguments": {"court": "texte", "judge": "texte", "limit": 1, "party": "texte", "query": "texte", "date_filed_after": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - court_citation_resolver≈ 133 tokens
Resolve a legal citation (e.g. '410 U.S. 113') to its CourtListener case record.
Paramètres, retour & exemple (1)
Paramètrescitation· string · requis
Citation string, e.g. '410 U.S. 113'.
Exemple d'appel{"name": "court_citation_resolver", "arguments": {"citation": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - court_docket_lookup≈ 161 tokens
Look up a federal docket by court ID and docket number. Returns party list and recent entries from PACER/RECAP.
Paramètres, retour & exemple (2)
Paramètrescourt· string · requis
Court ID, e.g. 'nysd'.docket_number· string · requis
Docket number, e.g. '1:23-cv-04567'.
Exemple d'appel{"name": "court_docket_lookup", "arguments": {"court": "texte", "docket_number": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - court_judge_lookup≈ 138 tokens
Look up a judge profile by name or CourtListener person ID. Returns positions, education, and bench history.
Paramètres, retour & exemple (1)
Paramètresname· string · requis
Judge full or partial name, or numeric person ID.
Exemple d'appel{"name": "court_judge_lookup", "arguments": {"name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - court_opinion_search≈ 166 tokens
Full-text search of court opinions. Returns opinion text snippets, authors, and citations.
Paramètres, retour & exemple (3)
Paramètrescourt· string · optionnel
Optional court ID filter.limit· number · optionnel
Max results (1-50, default 10).query· string · requis
Search text required.
Exemple d'appel{"name": "court_opinion_search", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - court_oral_argument_search≈ 170 tokens
Search SCOTUS and federal appellate oral argument audio. Returns audio URLs and transcript snippets.
Paramètres, retour & exemple (3)
Paramètrescourt· string · optionnel
Optional court ID filter.limit· number · optionnel
Max results (1-50, default 10).query· string · requis
Search text.
Exemple d'appel{"name": "court_oral_argument_search", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - court_recent_filings≈ 146 tokens
Recent docket entries filed in a specific court, ordered newest first.
Paramètres, retour & exemple (2)
Paramètrescourt· string · requis
Court ID, e.g. 'nysd', 'cand'.limit· number · optionnel
Max results (1-50, default 10).
Exemple d'appel{"name": "court_recent_filings", "arguments": {"court": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cpsc_recall_search≈ 360 tokens
Search U.S. Consumer Product Safety Commission (CPSC) product recalls via SaferProducts.gov (keyless). Filter by product name/keyword, title, manufacturer, hazard, recall number, and date range. Returns recall number, date, title, products, hazards, remedy, manufacturers, injuries, and the official CPSC recall URL. Data: CPSC/SaferProducts.gov.
Paramètres, retour & exemple (8)
Paramètreslimit· integer · optionnel
Max recalls to return (default 25).title· string · optionnel
Recall title keyword filter.hazard· string · optionnel
Hazard keyword filter (e.g. 'fire', 'choking', 'laceration').product· string · optionnel
Product name filter (e.g. 'stroller', 'space heater').date_end· string · optionnel
Recalls on/before this date (YYYY-MM-DD).date_start· string · optionnel
Recalls on/after this date (YYYY-MM-DD).manufacturer· string · optionnel
Manufacturer name filter.recall_number· string · optionnel
Exact CPSC recall number (e.g. '26561').
Exemple d'appel{"name": "cpsc_recall_search", "arguments": {"limit": 1, "title": "texte", "hazard": "texte", "product": "texte", "date_end": "texte", "date_start": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cpsc_recent_recalls≈ 207 tokens
Return the most recent U.S. CPSC product recalls (date-sorted, newest first) via SaferProducts.gov (keyless). Looks back a configurable window (default 90 days). Each result links to the official CPSC recall page. Data: CPSC/SaferProducts.gov.
Paramètres, retour & exemple (2)
Paramètreslimit· integer · optionnel
Number of recent recalls to return (default 10).lookback_days· integer · optionnel
How many days back to scan (default 90).
Exemple d'appel{"name": "cpsc_recent_recalls", "arguments": {"limit": 1, "lookback_days": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - crypto_compare≈ 228 tokens
Compare 2-5 cryptocurrencies side by side. Shows price, 24-hour change, market cap, volume, and rank for each coin in a comparison table. Use this for 'compare bitcoin and ethereum', 'BTC vs ETH vs SOL', 'which is bigger bitcoin or ethereum?', 'compare top cryptos', 'crypto head to head', or any multi-coin comparison question.
Paramètres, retour & exemple (1)
Paramètrescoins· ? · requis
Coin names or tickers, 2-5 coins. Accept either CSV string ('bitcoin,ethereum,solana') or array (['bitcoin','ethereum','solana']).
Exemple d'appel{"name": "crypto_compare", "arguments": {"coins": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - crypto_info≈ 210 tokens
Get a detailed profile for any cryptocurrency including description, market data, supply info, all-time high/low, genesis date, blockchain, categories, and website links. Use this for 'tell me about bitcoin', 'what is ethereum?', 'solana info', 'describe cardano', 'crypto profile', 'coin details', or any question asking for background information about a specific cryptocurrency project.
Paramètres, retour & exemple (1)
Paramètrescoin· string · requis
Cryptocurrency name or ticker (e.g., 'bitcoin', 'BTC', 'ethereum')
Exemple d'appel{"name": "crypto_info", "arguments": {"coin": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - crypto_price≈ 276 tokens
Get the current price and market data for any cryptocurrency. Returns price in USD, 24-hour change, market cap, volume, and all-time high. Use this for 'what's the price of bitcoin?', 'how much is ethereum?', 'solana price', 'check dogecoin', 'BTC price', 'ETH value', 'crypto price check', or any question about a specific coin's current value. Supports all major cryptocurrencies: bitcoin, ethereum, solana, cardano, ripple/XRP, dogecoin, polkadot, avalanche, chainlink, polygon/MATIC, litecoin, uniswap, stellar, cosmos, NEAR, arbitrum, optimism, aptos, sui, toncoin, shiba inu, pepe, BNB, tether/USDT, USDC, and thousands more via CoinGecko ID.
Paramètres, retour & exemple (1)
Paramètrescoin· string · requis
Cryptocurrency name or ticker (e.g., 'bitcoin', 'BTC', 'ethereum', 'ETH')
Exemple d'appel{"name": "crypto_price", "arguments": {"coin": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - crypto_trending≈ 168 tokens
See what's trending and hot in cryptocurrency right now. Returns the top trending coins on CoinGecko based on search activity and interest. Use this for 'what's trending in crypto?', 'hot cryptocurrencies', 'trending coins', 'what crypto is popular right now?', 'crypto buzz', 'what tokens are people looking at?', or any question about current crypto market interest and momentum.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "crypto_trending", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cve_lookup≈ 140 tokens
Full detail for a single CVE by ID (format CVE-YYYY-NNNN). Returns CVSS scores, weakness IDs, references, and affected products from the NVD.
Paramètres, retour & exemple (1)
Paramètrescve_id· string · requis
CVE identifier, e.g. CVE-2024-3094.
Exemple d'appel{"name": "cve_lookup", "arguments": {"cve_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cve_recent≈ 195 tokens
Recent CVEs published in the last N days (default 7, max 120). Optional vendor and severity filters (CRITICAL, HIGH, MEDIUM, LOW).
Paramètres, retour & exemple (4)
Paramètresdays· number · optionnel
Lookback window in days (1-120).limit· number · optionnel
Max results (default 50).vendor· string · optionnel
Optional vendor filter.severity· string · optionnel
Optional CVSS severity filter: CRITICAL, HIGH, MEDIUM, or LOW.
Exemple d'appel{"name": "cve_recent", "arguments": {"days": 1, "limit": 1, "vendor": "texte", "severity": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cve_search_by_keyword≈ 201 tokens
Free-text CVE search with optional date range. Matches keyword against CVE description text in the NVD.
Paramètres, retour & exemple (4)
Paramètreslimit· number · optionnel
Max results to return (1-2000, default 20).keyword· string · requis
Free-text search phrase.pub_end_date· string · optionnel
Optional YYYY-MM-DD upper bound.pub_start_date· string · optionnel
Optional YYYY-MM-DD lower bound.
Exemple d'appel{"name": "cve_search_by_keyword", "arguments": {"keyword": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cve_search_by_vendor≈ 242 tokens
Search CVEs by vendor with optional product and date range filters. Vendor is matched against the NVD CPE namespace, e.g. 'apache', 'microsoft'.
Paramètres, retour & exemple (5)
Paramètreslimit· number · optionnel
Max results to return (1-2000, default 20).vendor· string · requis
Vendor name, lowercase preferred.product· string · optionnel
Optional product name filter.pub_end_date· string · optionnel
ISO date or YYYY-MM-DD upper bound on published date.pub_start_date· string · optionnel
ISO date or YYYY-MM-DD lower bound on published date.
Exemple d'appel{"name": "cve_search_by_vendor", "arguments": {"vendor": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - cwe_lookup≈ 136 tokens
MITRE CWE detail by ID (format CWE-NNN or NNN). Returns name, abstraction, status, description, and parent/child CWE relationships.
Paramètres, retour & exemple (1)
Paramètrescwe_id· string · requis
CWE identifier, e.g. CWE-79.
Exemple d'appel{"name": "cwe_lookup", "arguments": {"cwe_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - disaster_declarations≈ 292 tokens
Recent FEMA disaster declarations from LiveDataLink's self-hosted OpenFEMA index, with a live official-API fallback. Filter by state, county, incident type, or date range; returns disaster number, title, dates, incident category, and source freshness.
Paramètres, retour & exemple (6)
Paramètreslimit· number · optionnel
Max rows to return (1-1000, default 50).state· string · optionnel
Two-letter state code, e.g. 'TX'.county· string · optionnel
Designated area / county name as FEMA records it.end_date· string · optionnel
ISO date upper bound on declarationDate.start_date· string · optionnel
ISO date lower bound on declarationDate.incident_type· string · optionnel
Incident type filter, e.g. 'Hurricane', 'Flood', 'Severe Storm', 'Wildfire'.
Exemple d'appel{"name": "disaster_declarations", "arguments": {"limit": 1, "state": "texte", "county": "texte", "end_date": "texte", "start_date": "texte", "incident_type": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - disaster_history_summary≈ 185 tokens
Multi-year FEMA disaster summary from LiveDataLink's self-hosted OpenFEMA index, bucketed by incident type and year for a state or county with source freshness.
Paramètres, retour & exemple (3)
Paramètresstate· string · requis
Two-letter state code.years· number · optionnel
Lookback window in years (default 10).county· string · optionnel
County name.
Exemple d'appel{"name": "disaster_history_summary", "arguments": {"state": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - disaster_recovery_profile≈ 526 tokens
One-call disaster-history and recovery read for a US area (county or place), keyed by NAME + state - distinct from location_risk_report, which scores a single site by address/lat-lon. Joins FEMA's OpenFEMA disaster declarations (the area's federally-declared disaster history: incident types, frequency, most-recent event, and the federal-assistance signal - which programs, Individual Assistance / Individuals & Households / Public Assistance / Hazard Mitigation, were authorized) with optional US Census ACS county population for exposure context (keyed off the FIPS codes the FEMA records carry; needs a Census key and degrades gracefully) and an optional best-effort parcel record for property context when an address is given (Maryland statewide / Texas-Harris County only). Returns a readable profile with a headline banding the area's disaster exposure LOW / MODERATE / HIGH from the declaration record. The FEMA leg is keyless and is the core signal; a source that fails is noted, not fatal. INFORMATIONAL public-record synthesis, NOT an insurance rating, a property flood-risk score, or a professional risk assessment.
Paramètres, retour & exemple (4)
Paramètresarea· string · requis
County or place name to profile (e.g. 'Harris', 'Orleans', 'New Orleans'). Use the name without the word 'County'.state· string · optionnel
2-letter US state code (or full state name) to scope the FEMA history (e.g. 'TX', 'LA'). Strongly recommended - required for an accurate county read.county· string · optionnel
Alias for area; either may be supplied.address· string · optionnel
Optional street address to attach a sample parcel/property record (Maryland statewide or Texas-Harris County only).
Exemple d'appel{"name": "disaster_recovery_profile", "arguments": {"area": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - earthquake_recent≈ 264 tokens
Recent earthquakes from USGS. Filter by region (lat/lon + radius), state name, magnitude threshold, or time window.
Paramètres, retour & exemple (8)
Paramètreslat· number · optionnellon· number · optionnellimit· number · optionnel
Max events (default 50).end_time· string · optionnel
ISO datetime upper bound (default now).location· string · optionnel
Address, zip, city, or 'lat,lon' to center the search. Optional.radius_km· number · optionnel
Search radius around lat/lon (max ~20000).start_time· string · optionnel
ISO datetime lower bound (default 30 days ago).min_magnitude· number · optionnel
Minimum magnitude (default 2.5).
Exemple d'appel{"name": "earthquake_recent", "arguments": {"lat": 1, "lon": 1, "limit": 1, "end_time": "texte", "location": "texte", "radius_km": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edgar_company_facts≈ 242 tokens
Get structured XBRL financial facts for a company. Without 'concept', returns the top-level facts catalog (concepts the company has reported). With 'concept' (e.g. 'Revenues', 'Assets', 'EarningsPerShareBasic'), returns the time series of values for that concept.
Paramètres, retour & exemple (3)
Paramètresconcept· string · optionnel
Optional XBRL concept name (e.g. 'Revenues', 'Assets', 'NetIncomeLoss'). If omitted, returns the catalog of available concepts.taxonomy· string · optionnel
Optional XBRL taxonomy (default 'us-gaap').identifier· string · requis
Ticker symbol or CIK.
Exemple d'appel{"name": "edgar_company_facts", "arguments": {"identifier": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edgar_company_lookup≈ 190 tokens
Look up a public company's CIK (Central Index Key) by ticker symbol or company name. CIK is required for all other EDGAR tools. Returns matches ranked exact-ticker first.
Paramètres, retour & exemple (2)
Paramètreslimit· integer · optionnel
Maximum rows to return (default 25, max 100).query· string · requis
Ticker (e.g. 'AAPL') or company-name fragment (e.g. 'Apple').
Exemple d'appel{"name": "edgar_company_lookup", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edgar_filing_content≈ 237 tokens
Fetch the text content of a specific SEC filing. Returns the primary document (10-K, 10-Q, etc.) stripped of HTML, suitable for LLM consumption. Use edgar_recent_filings first to get the accession number.
Paramètres, retour & exemple (3)
Paramètrescik· string · requis
Filer CIK (with or without leading zeros).max_chars· integer · optionnel
Maximum characters of text to return (default 20000, max 200000).accession_number· string · requis
Accession number (e.g. '0000320193-25-000006' or '000032019325000006').
Exemple d'appel{"name": "edgar_filing_content", "arguments": {"cik": "texte", "accession_number": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edgar_filings_by_form_type≈ 227 tokens
Pull all recent SEC filings of a specific form type across all companies. Useful for monitoring (e.g. 'all 8-Ks today', 'all S-1s this week'). Returns accession numbers, filers, and filing dates.
Paramètres, retour & exemple (3)
Paramètreslimit· integer · optionnel
Maximum rows to return (default 25, max 100).form_type· string · requis
SEC form type (e.g. '8-K', 'S-1', 'DEF 14A', '13F-HR').start_date· string · optionnel
ISO date lower bound (YYYY-MM-DD). Defaults to 30 days ago.
Exemple d'appel{"name": "edgar_filings_by_form_type", "arguments": {"form_type": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edgar_full_text_search≈ 268 tokens
Full-text search across all SEC filings via the EDGAR EFTS index. Filter by comma-separated form types and date range. Useful for finding filings that mention specific terms.
Paramètres, retour & exemple (5)
Paramètresforms· string · optionnel
Comma-separated form types to filter (e.g. '10-K,10-Q'). Optional.limit· integer · optionnel
Maximum rows to return (default 25, max 100).query· string · requis
Search query (e.g. 'cybersecurity incident', 'going concern').end_date· string · optionnel
Optional ISO date upper bound (YYYY-MM-DD).start_date· string · optionnel
Optional ISO date lower bound (YYYY-MM-DD).
Exemple d'appel{"name": "edgar_full_text_search", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edgar_insider_transactions≈ 185 tokens
List recent Form 4 insider transaction filings for a company. Returns accession numbers and filing dates; for detailed transaction data, use edgar_filing_content on each.
Paramètres, retour & exemple (2)
Paramètreslimit· integer · optionnel
Maximum rows to return (default 25, max 100).identifier· string · requis
Ticker symbol or CIK.
Exemple d'appel{"name": "edgar_insider_transactions", "arguments": {"identifier": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - edgar_recent_filings≈ 235 tokens
List recent SEC filings for a company. Filter by form type (10-K, 10-Q, 8-K, 4, DEF 14A, etc.) and start date. Use ticker or CIK as identifier.
Paramètres, retour & exemple (4)
Paramètreslimit· integer · optionnel
Maximum rows to return (default 25, max 100).form_type· string · optionnel
Optional form type filter (e.g. '10-K', '10-Q', '8-K', '4').identifier· string · requis
Ticker symbol or CIK. Examples: 'AAPL', '0000320193'.start_date· string · optionnel
Optional ISO date lower bound (YYYY-MM-DD).
Exemple d'appel{"name": "edgar_recent_filings", "arguments": {"identifier": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - eia_electricity_state≈ 354 tokens
Monthly state-level electricity data from EIA. Filter by state (two-letter code or 'US' for national), sector (residential / commercial / industrial / transportation / all), and metric (price / sales / revenue / customers / generation). Default: US, all sectors, price.
Paramètres, retour & exemple (6)
Paramètresend· string · optionnel
Inclusive upper-bound period (ISO date or YYYY-MM).limit· integer · optionnel
Maximum rows to return (default 50, max 5000).start· string · optionnel
Inclusive lower-bound period (ISO date or YYYY-MM depending on series cadence).state· string · optionnel
Two-letter state code (e.g. 'TX', 'CA') or 'US' for national rollup. Default 'US'.metric· string · optionnel · price | sales | revenue | customers | generation
Metric: 'price', 'sales', 'revenue', 'customers', 'generation'. Default 'price'.sector· string · optionnel
Sector: 'all', 'residential', 'commercial', 'industrial', 'transportation'. Default 'all'.
Exemple d'appel{"name": "eia_electricity_state", "arguments": {"end": "texte", "limit": 1, "start": "texte", "state": "texte", "metric": "price", "sector": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - eia_energy_consumption≈ 297 tokens
Monthly US energy consumption by sector from EIA. Sectors: residential, commercial, industrial, transportation, total. Returns total energy consumed in BTU equivalents.
Paramètres, retour & exemple (5)
Paramètresend· string · optionnel
Inclusive upper-bound period (ISO date or YYYY-MM).limit· integer · optionnel
Maximum rows to return (default 50, max 5000).start· string · optionnel
Inclusive lower-bound period (ISO date or YYYY-MM depending on series cadence).state· string · optionnel
Two-letter state code or 'US' for national rollup. Default 'US'.sector· string · optionnel · total | residential | commercial | industrial | transportation
Sector: 'total', 'residential', 'commercial', 'industrial', 'transportation'. Default 'total'.
Exemple d'appel{"name": "eia_energy_consumption", "arguments": {"end": "texte", "limit": 1, "start": "texte", "state": "texte", "sector": "total"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - eia_gasoline_prices≈ 292 tokens
Weekly US retail gasoline prices from EIA. Filter by region (PADD1-PADD5 or national) and grade (regular, midgrade, premium, diesel, all). Useful for fuel-cost analysis, transportation logistics, and consumer price tracking.
Paramètres, retour & exemple (5)
Paramètresend· string · optionnel
Inclusive upper-bound period (ISO date or YYYY-MM).grade· string · optionnel
Fuel grade: 'all', 'regular', 'midgrade', 'premium', 'diesel'. Default 'all'.limit· integer · optionnel
Maximum rows to return (default 50, max 5000).start· string · optionnel
Inclusive lower-bound period (ISO date or YYYY-MM depending on series cadence).region· string · optionnel
PADD region code or 'national'. Examples: 'national', 'PADD1', 'PADD3'. Default 'national'.
Exemple d'appel{"name": "eia_gasoline_prices", "arguments": {"end": "texte", "grade": "texte", "limit": 1, "start": "texte", "region": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - eia_natural_gas≈ 266 tokens
US natural gas data from EIA. Series options: 'spot' (Henry Hub daily), 'futures' (NYMEX front-month daily), 'residential' (monthly retail to households), 'storage' (weekly working gas in storage). Default 'spot'.
Paramètres, retour & exemple (4)
Paramètresend· string · optionnel
Inclusive upper-bound period (ISO date or YYYY-MM).limit· integer · optionnel
Maximum rows to return (default 50, max 5000).start· string · optionnel
Inclusive lower-bound period (ISO date or YYYY-MM depending on series cadence).series· string · optionnel · spot | futures | residential | storage
Subset to query: 'spot', 'futures', 'residential', 'storage'. Default 'spot'.
Exemple d'appel{"name": "eia_natural_gas", "arguments": {"end": "texte", "limit": 1, "start": "texte", "series": "spot"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - eia_oil_supply≈ 313 tokens
Weekly US crude oil supply data from EIA. Metrics: 'production' (US field production), 'imports' (weekly oil imports), 'stocks' (commercial crude stocks), 'refinery_inputs' (gross refinery inputs). Filter by PADD region. Default: national production.
Paramètres, retour & exemple (5)
Paramètresend· string · optionnel
Inclusive upper-bound period (ISO date or YYYY-MM).limit· integer · optionnel
Maximum rows to return (default 50, max 5000).start· string · optionnel
Inclusive lower-bound period (ISO date or YYYY-MM depending on series cadence).metric· string · optionnel · production | imports | stocks | refinery_inputs
Metric: 'production', 'imports', 'stocks', 'refinery_inputs'. Default 'production'.region· string · optionnel
PADD region or 'national'. Examples: 'national', 'PADD1', 'PADD3'. Default 'national'.
Exemple d'appel{"name": "eia_oil_supply", "arguments": {"end": "texte", "limit": 1, "start": "texte", "metric": "production", "region": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - eia_renewable_generation≈ 307 tokens
Monthly US electricity generation by source from EIA. Sources: solar, wind, hydro, nuclear, geothermal, biomass, all. Optional state filter (default national). Returns generation in megawatt-hours.
Paramètres, retour & exemple (5)
Paramètresend· string · optionnel
Inclusive upper-bound period (ISO date or YYYY-MM).limit· integer · optionnel
Maximum rows to return (default 50, max 5000).start· string · optionnel
Inclusive lower-bound period (ISO date or YYYY-MM depending on series cadence).state· string · optionnel
Two-letter state code or 'US' for national rollup. Default 'US'.source· string · optionnel · all | solar | wind | hydro | nuclear | geothermal | biomass
Generation source: 'all', 'solar', 'wind', 'hydro', 'nuclear', 'geothermal', 'biomass'. Default 'all'.
Exemple d'appel{"name": "eia_renewable_generation", "arguments": {"end": "texte", "limit": 1, "start": "texte", "state": "texte", "source": "all"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
+ 261 autres outils (affichage limité à 120).
C'est votre serveur ?
Revendiquez-le sur l'espace créateur (preuve GitHub, domaine ou npm) pour afficher le badge « propriétaire vérifié » et lancer un pentest comportemental à la demande afin d'obtenir le badge « Vérifié ».