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io.github.Its-fortunatefolly/hubvibe
serveur MCP (Model Context Protocol) · hubvibe 1.31.1
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.Its-fortunatefolly/hubvibe est sûr ?
Au dernier audit MCP Hub, le serveur MCP « io.github.Its-fortunatefolly/hubvibe » 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 72 outils
- audit_bundle≈ 469 tokens
Full website audit in one call: accessibility (WCAG 2.1 A/AA via axe-core), on-page SEO, HTTP security headers and page speed / page weight, from a single browser load of one URL. Cheaper than four separate calls; if any part cannot run, nothing is billed. Use a single audit route when you need only one of the four. $0.15 per call. Returns: pass (bool) plus wcag{}, seo{}, security{}, performance{} sub-results.
Paramètres, retour & exemple (2)
Paramètresurl· string · requis
Live, fetchable http(s) URL to audit.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable text of the findings is returned in this language; rule ids, severities, URLs and numbers are untouched. Default: English.
Exemple d'appel{"name": "audit_bundle", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"seo": {}, "pass": true, "wcag": {}, "status": "texte", "security": {}, "performance": {}}} - audit_performance≈ 368 tokens
Page speed and page weight audit of a web page from one real browser load: total bytes transferred, HTTP request count and DOM node count, measured rather than estimated, with findings when the page is heavy. Page-weight signals, not Core Web Vitals. $0.05 per call. Returns: pass (bool), metrics{}, findings[] with id/severity/detail.
Paramètres, retour & exemple (2)
Paramètresurl· string · requis
Live, fetchable http(s) URL to audit.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable text of the findings is returned in this language; rule ids, severities, URLs and numbers are untouched. Default: English.
Exemple d'appel{"name": "audit_performance", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"pass": true, "status": "texte", "metrics": {}, "findings": []}} - audit_security≈ 373 tokens
Security headers check for a website: audits HTTPS, HSTS, Content- Security-Policy (CSP), X-Content-Type-Options, X-Frame-Options / clickjacking protection, Referrer-Policy and CORS from the real HTTP response of any live URL. Findings with severity for what is missing. Header posture only, not a penetration test. $0.05 per call. Returns: pass (bool), findings[] with id/severity/detail.
Paramètres, retour & exemple (2)
Paramètresurl· string · requis
Live, fetchable http(s) URL to audit.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable text of the findings is returned in this language; rule ids, severities, URLs and numbers are untouched. Default: English.
Exemple d'appel{"name": "audit_security", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"pass": true, "status": "texte", "findings": []}} - audit_seo≈ 401 tokens
SEO audit of a web page (on-page SEO check) for any live URL or raw HTML: title tag, meta description, H1 heading structure, canonical link, OpenGraph and social tags, JSON-LD structured data, html lang attribute. Rule-by-rule findings with severity and what is missing or malformed. $0.05 per call. Returns: pass (bool), findings[] with id/severity/detail.
Paramètres, retour & exemple (3)
Paramètresurl· string · optionnel
Live, fetchable http(s) URL to audit.html· string · optionnel
Raw HTML source to audit instead of fetching a URL.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable text of the findings is returned in this language; rule ids, severities, URLs and numbers are untouched. Default: English.
Exemple d'appel{"name": "audit_seo", "arguments": {"url": "texte", "html": "texte", "language": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"pass": true, "status": "texte", "findings": []}} - audit_wcag≈ 438 tokens
Website accessibility audit (a11y, WCAG compliance check): WCAG 2.1 level A and AA conformance of any live URL or raw HTML, tested with axe-core in a real headless browser. Returns every violation with rule id, impact, help text and affected node count. Deterministic rules; a check that cannot run returns an error, never a pass. $0.05 per call. Returns: pass (bool), violations[] with id/impact/help/help_url/nodes_affected.
Paramètres, retour & exemple (3)
Paramètresurl· string · optionnel
Live, fetchable http(s) URL to audit.html· string · optionnel
Raw HTML source to audit instead of fetching a URL.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable text of the findings is returned in this language; rule ids, severities, URLs and numbers are untouched. Default: English.
Exemple d'appel{"name": "audit_wcag", "arguments": {"url": "texte", "html": "texte", "language": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"pass": true, "engine": "texte", "status": "texte", "violations": []}} - hubvibe_agent_task≈ 516 tokens
HubVibe Agent (quick): hand it any task in plain words and get the finished result in one call. Research a company or a person of interest, check a website, screen a name, read the markets, compare options, pull the facts: you get a headline, the key points, the full answer, its sources and every tool step. Up to 4 steps. Charged only when the answer is delivered. Input: task; optional context, fields for a JSON answer, language. $2.75 per call. Returns: task, tier, headline, key_points[], answer, data, steps[{n,tool,input,ok,summary,seconds}], tools_used[], sources[], notes[].
Paramètres, retour & exemple (4)
Paramètrestask· string · requis
The task, in plain words.fields· array · optionnel
Optional: also return `data` with exactly these keys.context· string|object|array · optionnel
Optional material the task refers to (text or JSON).language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.
Exemple d'appel{"name": "hubvibe_agent_task", "arguments": {"task": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_agent_task_max≈ 520 tokens
HubVibe Agent (max): hand it any task in plain words and get the finished result in one call. Research a company or a person of interest, check a website, screen a name, read the markets, compare options, pull the facts: you get a headline, the key points, the full answer, its sources and every tool step. Up to 20 steps. Charged only when the answer is delivered. Input: task; optional context, fields for a JSON answer, language. $20.00 per call. Returns: task, tier, headline, key_points[], answer, data, steps[{n,tool,input,ok,summary,seconds}], tools_used[], sources[], notes[].
Paramètres, retour & exemple (4)
Paramètrestask· string · requis
The task, in plain words.fields· array · optionnel
Optional: also return `data` with exactly these keys.context· string|object|array · optionnel
Optional material the task refers to (text or JSON).language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.
Exemple d'appel{"name": "hubvibe_agent_task_max", "arguments": {"task": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_agent_task_pro≈ 518 tokens
HubVibe Agent (pro): hand it any task in plain words and get the finished result in one call. Research a company or a person of interest, check a website, screen a name, read the markets, compare options, pull the facts: you get a headline, the key points, the full answer, its sources and every tool step. Up to 10 steps. Charged only when the answer is delivered. Input: task; optional context, fields for a JSON answer, language. $9.00 per call. Returns: task, tier, headline, key_points[], answer, data, steps[{n,tool,input,ok,summary,seconds}], tools_used[], sources[], notes[].
Paramètres, retour & exemple (4)
Paramètrestask· string · requis
The task, in plain words.fields· array · optionnel
Optional: also return `data` with exactly these keys.context· string|object|array · optionnel
Optional material the task refers to (text or JSON).language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.
Exemple d'appel{"name": "hubvibe_agent_task_pro", "arguments": {"task": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_chain_address≈ 446 tokens
Base wallet lookup / address balance: ETH balance, transaction count (nonce) and whether the address is a smart contract or an ordinary wallet (EOA), live from Base mainnet in one call. Use it to check a counterparty, deposit address or contract before paying it. Input: address (0x...). For token balances or any other read use chain.rpc. $0.05 per call. Returns: balance_wei, balance_eth, transaction_count, is_contract, code_size_bytes.
Paramètres, retour & exemple (2)
Paramètresaddress· string · requis
0x-prefixed Base address.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_chain_address", "arguments": {"address": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_chain_network≈ 397 tokens
Base network status and gas price: current block height and gas price (wei and gwei), live from a Base mainnet RPC node. Use it to check Base is moving, time an on-chain action or estimate gas before sending a transaction. Keyless, pay per call. No input needed. $0.02 per call. Returns: block_number, gas_price_wei, gas_price_gwei.
Paramètres, retour & exemple (1)
Paramètreslanguage· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_chain_network", "arguments": {"language": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_chain_rpc≈ 446 tokens
Base RPC endpoint, pay per call: any allowlisted read-only JSON-RPC method on Base mainnet (eth_call, eth_getBalance, eth_getLogs, eth_getBlockByNumber, eth_getTransactionReceipt and more) with your own params, no API key. Revert reasons come back as the result. Input: method; optional params. $0.05 per call. Returns: method, result or error, endpoint.
Paramètres, retour & exemple (3)
Paramètresmethod· string · requis
e.g. eth_call, eth_getLogs.params· array · optionnel
JSON-RPC positional params. Default [].language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_chain_rpc", "arguments": {"method": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_chain_transaction≈ 434 tokens
Base transaction lookup by hash: sender, recipient, ETH value, block, success or failure, gas used and log count, with the receipt folded in, live from Base mainnet. Use it to confirm a payment or transfer landed on-chain. Input: hash (the 0x transaction hash). For the raw receipt use chain.rpc. $0.05 per call. Returns: from, to, value_eth, block_number, status, gas_used, log_count.
Paramètres, retour & exemple (2)
Paramètreshash· string · requis
0x-prefixed transaction hash.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_chain_transaction", "arguments": {"hash": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_code_execute≈ 413 tokens
Run Python code in a sandbox: execute Python in Google's hosted sandbox (not on this service's machines) and get the code, its printed output and the outcome back. Use it for calculations, data transforms and checks an agent should not do in its head. Input: code. Questions over BigQuery data: data.query. $0.25 per call. Returns: code, output, outcome, summary, model.
Paramètres, retour & exemple (2)
Paramètrescode· string · requislanguage· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_code_execute", "arguments": {"code": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_commerce_availability≈ 581 tokens
Product availability and price check: is it in stock and buyable right now, at what price, in which options (sizes, colours, dates, rooms), which option matches the variant you name, quantity and ship-to eligibility where the page states them, with evidence and a checked_at stamp. Reads any product or booking page (schema.org, Open Graph, Shopify JSON; a browser only when needed). Input: url; optional variant, quantity, ship_to. $0.50 per call. Returns: available, availability, price, currency, options[], matched_option, quantity_ok, ship_to_ok, shipping, eligibility_notes[], evidence[], source, confidence, checked_at.
Paramètres, retour & exemple (5)
Paramètresurl· string · requis
The product, listing or booking page.ship_to· string · optionnel
Optional: ISO 3166-1 alpha-2 country the order ships to.variant· string · optionnel
Optional: the option you want, in words (size 9 natural black; double room 12 Oct; economy).language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.quantity· integer · optionnel
Optional: how many you need.
Exemple d'appel{"name": "hubvibe_commerce_availability", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_commerce_shipping≈ 759 tokens
Shipping cost and delivery check for any Shopify store: the variant goes into a real cart session and the store quotes its shipping options to your destination. Returns options with prices and days, eligibility (or the store's reason, or the address fields still needed), subtotal and total before tax. No order is placed. Input: url, ship_to{country, province, postal_code}; optional variant, quantity. $0.50 per call. Returns: url, store{platform, domain, currency}, product{id, title, handle}, variant{id, name, sku, price, available, requires_shipping}, quantity, ship_to{}, cart{subtotal, total, currency, item_count, requires_shipping}, eligible, eligibility_reasons[], missing_fields[], shipping_options[{name, price, currency, delivery_days_min, delivery_days_max, description, carrier}], cheapest_shipping{}, estimated_total{}, taxes_note, source, notes[], checked_at.
Paramètres, retour & exemple (5)
Paramètresurl· string · requis
Product page on the store (…/products/<handle>).ship_to· object · requisvariant· string · optionnel
Free-text option to buy (size 10 natural black). Default: first available.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.quantity· integer · optionnel
Default 1.
Exemple d'appel{"name": "hubvibe_commerce_shipping", "arguments": {"url": "texte", "ship_to": {}}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_company_enrich≈ 619 tokens
Company enrichment / firmographics by domain or name: legal and common name, founded, headcount with date, industries, headquarters, parent, CEO and founders, stock listings, LEI, SEC CIK, registration number, legal form and status, official social accounts and logo. Sources: Wikidata, the global LEI register, SEC EDGAR and the company's own site; every field names its source. Input: domain or name. $0.05 per call. Returns: query{}, company{name, legal_name, description, website, domain, founded, employees{count, as_of, source}, industries[], headquarters{city, country, country_code, address}, parent, ceo, founders[], logo_url, status, legal_form, jurisdiction}, identifiers{wikidata, lei, cik, registration_number, listings[], sec_tickers[], sic...}, socials{x, linkedin, facebook, instagram, github, youtube}, sources[], field_sources{}, notes[], checked_at.
Paramètres, retour & exemple (3)
Paramètresname· string · optionnel
Company name (Toyota), instead of a domain.domain· string · optionnel
Company domain (stripe.com) or its URL.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_company_enrich", "arguments": {"name": "texte", "domain": "texte", "language": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_data_anomalies≈ 647 tokens
Anomaly detection on a time series: score recent periods against history with BigQuery AI.DETECT_ANOMALIES (TimesFM). Give one table and its latest periods are scored against its own history, or a history and a target table. Returns every checked row with bounds, anomaly flag and probability, plus the anomaly count. Input: history_table, target_table, timestamp_col, data_col; optional target_last, threshold, id_cols. $10.00 per call. Returns: history_table, target_table, timestamp_col, data_col, anomaly_prob_threshold, mode, target_periods, columns[], rows[], row_count, anomaly_count, gib_processed.
Paramètres, retour & exemple (9)
Paramètresid_cols· array · optionnel
Optional: one series per value of these columns.data_col· string · requislanguage· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.target_last· integer · optionnel
Same table as history and target: score its latest N timestamps. Default 30.max_scan_gib· number · optionneltarget_table· string · requis
project.dataset.tablehistory_table· string · requis
project.dataset.tabletimestamp_col· string · requisanomaly_prob_threshold· number · optionnel
0.5-0.999, default 0.95.
Exemple d'appel{"name": "hubvibe_data_anomalies", "arguments": {"data_col": "texte", "target_table": "texte", "history_table": "texte", "timestamp_col": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_data_forecast≈ 544 tokens
Time-series forecasting: forecast any BigQuery table with Google's pretrained TimesFM model (AI.FORECAST), nothing to train. Point it at the table, timestamp column and value column and get forecast rows with bounds for the horizon you set, per series with id_cols. Use it for sales, traffic, demand or metric forecasts. Input: table, timestamp_col, data_col; optional horizon, id_cols. $10.00 per call. Returns: table, timestamp_col, data_col, horizon, columns[], rows[], row_count, gib_processed.
Paramètres, retour & exemple (7)
Paramètrestable· string · requis
project.dataset.tablehorizon· integer · optionnel
Periods to forecast, default 10.id_cols· array · optionnel
Optional: forecast multiple series at once.data_col· string · requislanguage· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.max_scan_gib· number · optionneltimestamp_col· string · requis
Exemple d'appel{"name": "hubvibe_data_forecast", "arguments": {"table": "texte", "data_col": "texte", "timestamp_col": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_data_macro≈ 729 tokens
Economic data / macro indicators for any country, live: GDP, growth, GDP per capita, inflation (CPI), unemployment, population, interest rates, exchange rate, debt, trade, FDI or any World Bank indicator code. Annual for 200+ economies from the World Bank; monthly EU inflation and unemployment from Eurostat. Returns the series, latest and previous values, the change and the source's update stamp. Input: indicator, country; optional last, frequency. $0.10 per call. Returns: indicator{alias, code, name, unit}, country{code, name}, frequency, source, observations[{period, value}], observation_count, latest{}, previous{}, change{absolute, pct}, as_of, source_url, notes[], checked_at.
Paramètres, retour & exemple (5)
Paramètreslast· integer · optionnel
Observations to return, newest last. Default 10.country· string · requis
ISO 3166 alpha-2 or alpha-3 (JP, KOR, DE), or an EU aggregate (EA20, EU27_2020) for monthly series.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.frequency· string · optionnel · auto | annual | monthly
auto picks monthly where Eurostat publishes it, else annual.indicator· string · requis
Alias (gdp_usd, gdp_growth, gdp_per_capita_usd, inflation, unemployment, population, population_growth, current_account_gdp, reserves_usd, government_debt_gdp, exports_gdp, imports_gdp, fdi_inflows_usd, exchange_rate_per_usd, real_interest_rate, lending_rate, trade_gdp, internet_users_pct, life_expectancy, co2_per_capita) or a World Bank code (NY.GDP.MKTP.CD).
Exemple d'appel{"name": "hubvibe_data_macro", "arguments": {"country": "texte", "indicator": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_data_query≈ 471 tokens
BigQuery SQL: run a read-only SQL query, including against Google's public datasets (Wikipedia, GitHub, blockchains, weather, census and more), and get columns and rows back as JSON with the bytes processed. Every query is dry-run first and refused above the scan ceiling, so cost is bounded before it runs. Input: sql; optional max_scan_gib. Ask in plain English instead: data.question. $0.50 per call. Returns: columns[], rows[], row_count, gib_processed, cache_hit.
Paramètres, retour & exemple (3)
Paramètressql· string · requis
Read-only SELECT or WITH query.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.max_scan_gib· number · optionnel
Optional scan ceiling.
Exemple d'appel{"name": "hubvibe_data_query", "arguments": {"sql": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_data_question≈ 449 tokens
Ask a database in plain English (text to SQL): any BigQuery table, including Google's public datasets. The SQL is written for you, run under a byte ceiling, and the rows are read back into a written answer, returned with the SQL, columns and rows it used. Use it for analytics questions without writing SQL. Input: question, table; optional columns. $5.00 per call. Returns: answer, sql, columns[], rows[], gib_processed.
Paramètres, retour & exemple (4)
Paramètrestable· string · requis
Fully qualified: project.dataset.table.columns· array · optionnel
Optional column hints.language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.question· string · requis
Exemple d'appel{"name": "hubvibe_data_question", "arguments": {"table": "texte", "question": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_domain_dns≈ 558 tokens
DNS lookup and domain health check: A, AAAA, CNAME, MX, NS, TXT, CAA and SOA records asked of the source, SPF and DMARC email policy parsed, and the HTTPS certificate verified like a browser (issuer, names, expiry, days left, TLS version). Flags missing SPF or DMARC, duplicate SPF and certificates near expiry. Input: domain (a URL is accepted). $0.05 per call. Returns: domain, domain_ascii, exists, records{a[], aaaa[], cname[], mx[], ns[], txt[], caa[], soa[]}, email_security{spf{record, all, multiple}, dmarc{record, policy, subdomain_policy, percent, reports_to}}, tls{reachable, valid, error, ip, protocol, subject, issuer, names[], not_before, not_after, days_remaining}, notes[], checked_at.
Paramètres, retour & exemple (3)
Paramètrestls· boolean · optionnel
Also check the HTTPS certificate. Default true.domain· string · requis
A domain (github.com) or a URL on it.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_domain_dns", "arguments": {"domain": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_email_verify≈ 557 tokens
Email verification / email validation: will mail to this address arrive? Checked live at the source: syntax, the domain's DNS (MX, null MX, no such domain) and its own mail server, asked whether the mailbox exists and whether it accepts any address (catch-all). No message sent. Flags disposable domains, role accounts (info@), free providers and typos (gmial.com). Verdict: deliverable, undeliverable, risky or unknown, with the reason. Input: email. $0.02 per call. Returns: email, normalized, local_part, domain, domain_ascii, verdict, reason, syntax_valid, domain_exists, accepts_mail, mx[{host, priority}], mail_provider, mailbox{checked, exists, catch_all, smtp_code, smtp_message, mx_host}, disposable, role_account, free_provider, did_you_mean, disposable_list_as_of, notes[], checked_at.
Paramètres, retour & exemple (2)
Paramètresemail· string · requis
One email address, such as jane@example.com.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_email_verify", "arguments": {"email": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_extract_page≈ 445 tokens
Web scraping / web page to clean text: any URL rendered in a real browser (JavaScript pages included) and returned as readable text with title, description and links. Use it to read an article, docs page or product page before summarising or extracting. Input: url. Raw status, headers and body: fetch.raw. A question answered from the page: research.brief. $0.10 per call. Returns: title, description, text, text_chars, links[], javascript_rendered.
Paramètres, retour & exemple (2)
Paramètresurl· string · requis
http(s) URL to fetch.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_extract_page", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_fetch_raw≈ 434 tokens
HTTP fetch / GET any URL: exactly what the server sent, status code, headers and body, plus the final URL after redirects. Every status is a result, so a 404 or 500 from the target is delivered, not failed. Use it for API checks, uptime probes and raw HTML. Input: url. Readable text from a rendered page: extract.page. $0.10 per call. Returns: url, final_url, status, content_type, bytes, text, truncated, headers{}.
Paramètres, retour & exemple (2)
Paramètresurl· string · requis
http(s) URL to fetch.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_fetch_raw", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_finance_analytics≈ 1641 tokens
Trading and portfolio math: returns and CAGR, volatility, Sharpe and Sortino, max drawdown, VaR/CVaR, beta, alpha and correlation vs a benchmark, SMA/EMA, RSI, Bollinger bands, Black-Scholes option price with Greeks, and the Kelly fraction, over prices you send or a ticker fetched live. Deterministic, every formula named, no LLM. Input: prices or symbol; optional metrics, benchmark, option, kelly. $0.50 per call. Returns: source{}, n, n_returns, periods_per_year, metrics_computed[], returns{}, volatility{}, sharpe, sortino, drawdown{}, var{}, beta{}, moving_averages{}, rsi{}, bollinger{}, black_scholes{}, kelly{}, notes[], method, as_of, checked_at.
Paramètres, retour & exemple (13)
Paramètresalpha· number · optionnel
Tail probability for VaR/CVaR. Default 0.05.kelly· object · optionnel
Bet parameters for the Kelly fraction (enables kelly).range· string · optionnel · 1d | 5d | 1mo | 3mo | 6mo | 1y | 2y | 5y
History range with `symbol`, default 1y.option· object · optionnel
European option to price with Black-Scholes-Merton (enables black_scholes).prices· array · optionnel
Prices oldest first: numbers, or {date, close} objects. Use this OR `symbol`.symbol· string · optionnel
Fetch the series live instead of `prices` (daily closes). Use this OR `prices`.metrics· array · optionnel
Which results to compute. Default: returns, volatility, sharpe, sortino, drawdown, var, moving_averages, rsi, bollinger, plus beta/black_scholes/kelly when their inputs are given.windows· object · optionnel
Indicator windows. Default sma [20,50,200], ema [12,26], rsi 14, bollinger 20.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.risk_free_rate· number · optionnel
Annual risk-free rate as a fraction (0.04 = 4%). Default 0.benchmark_prices· array · optionnel
Benchmark series for beta/alpha/correlation, same order as `prices`.benchmark_symbol· string · optionnel
Benchmark fetched live (e.g. SPY) for beta/alpha/correlation.periods_per_year· integer · optionnel
Annualization basis: 252 trading days (default), 12 months, 365 days, 52 weeks.
Exemple d'appel{"name": "hubvibe_finance_analytics", "arguments": {"alpha": 1, "kelly": {}, "range": "1d", "option": {}, "prices": [], "symbol": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_identity_check≈ 767 tokens
KYC screening / identity risk check in one call: a name screened against OFAC, UK and EU sanctions; an email's mailbox, disposable and role checks; a phone's validity, country and line type; an IP's country and network. Returns each result, fraud flags (sanctions hit, disposable email, VoIP, countries that disagree) and one risk level: low, review or high. Use it before onboarding a user or counterparty. Input: any of name, email, phone, ip; optional country, birth_year. $0.10 per call. Returns: input{}, risk (low | review | high), flags[{code, severity, detail}], checks{sanctions, email, phone, ip}, checks_run[], checks_failed[], notes[], checked_at.
Paramètres, retour & exemple (8)
Paramètresip· string · optionnel
The client's IPv4 or IPv6 address.name· string · optionnel
Person or company name to screen against sanctions lists.email· string · optionnel
Email address to verify.phone· string · optionnel
Phone number, international (+44 20 7946 0958) or national with `phone_region`.country· string · optionnel
Country the person says they are in (US or United States), compared with phone and IP.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.birth_year· integer · optionnel
Birth year, to narrow sanctions matches for a person.phone_region· string · optionnel
Two-letter country for a national-format phone number.
Exemple d'appel{"name": "hubvibe_identity_check", "arguments": {"ip": "texte", "name": "texte", "email": "texte", "phone": "texte", "country": "texte", "language": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_image_generate≈ 430 tokens
AI image generation / text to image: one image from a text prompt with Google Imagen 4, returned as base64 image bytes with its MIME type. Use it for illustrations, thumbnails, product mockups and social images. Input: prompt; optional aspect_ratio. $0.50 per call. Returns: prompt, aspect_ratio, image_base64, mime_type, model.
Paramètres, retour & exemple (3)
Paramètresprompt· string · requislanguage· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.aspect_ratio· string · optionnel
1:1, 3:4, 4:3, 16:9 or 9:16. Default 1:1.
Exemple d'appel{"name": "hubvibe_image_generate", "arguments": {"prompt": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_ip_lookup≈ 508 tokens
IP geolocation / IP address lookup: city, region, country and coordinates, the network's ASN and organisation, reverse DNS, and whether the address is public, private or reserved. IPv4 and IPv6. Location data from DB-IP Lite (CC BY 4.0, credited), updated monthly; location is the network's registered place, never a street address. Input: ip. $0.02 per call. Returns: ip, version, scope, reverse_dns[], location{city, region, country, country_code, continent, latitude, longitude}, network{asn, organization}, database_month, attribution{text, url, license}, notes[], checked_at.
Paramètres, retour & exemple (2)
Paramètresip· string · requis
One IPv4 or IPv6 address, such as 8.8.8.8.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_ip_lookup", "arguments": {"ip": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_lead_qualify≈ 724 tokens
Lead qualification in one call from a business website, fetched once by plain HTTP (no browser): SEO and security-header findings, static accessibility signals (images without alt, unlabelled fields, empty links), platform and marketing tags (WordPress, Shopify, Wix, Google Analytics, Tag Manager, Google Ads, Meta Pixel, TikTok, LinkedIn, chat), the domain's mail setup (MX, SPF, DMARC), a company profile and a 0-100 opportunity score with outreach hooks. Input: url; optional business_name. $0.25 per call. Returns: url, business_name, domain, site{final_url, status, https, redirected, response_time_ms, content_type, bytes, title}, seo{pass, checks, findings[]}, security{pass, checks, findings[]}, accessibility_signals{images_total, images_without_alt, html_lang, html_lang_present, inputs_total, inputs_without_label, links_total, links_without_text, scope, full_audit}, tech{platform, generator, server, powered_by, analytics[], ad_pixels[], chat_widgets[], has_analytics, has_ad_pixel, has_chat, source}, email_domain{domain, exists, mx_present, mx[], mail_provider, spf, dmarc}, company{name, legal_name, description, website, founded, employees, industries[], headquarters, socials, identifiers, sources[], notes[]}, score, score_band, reasons[], score_breakdown[{rule, points, detail}], score_rule, sections_failed[], sources[], notes[], checked_at.
Paramètres, retour & exemple (3)
Paramètresurl· string · requis
The business's website, http(s).language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.business_name· string · optionnel
The business's name, to help the company lookup. Optional.
Exemple d'appel{"name": "hubvibe_lead_qualify", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_llm_analyze≈ 415 tokens
Question answering over your own text: ask a question about material you supply and get an answer grounded only in that text (Gemini). If the text does not contain the answer it says so instead of guessing. Use it for summaries, Q&A and checks over documents, emails and pages. Input: text, question; optional language. Fixed JSON fields: llm.extract. $0.25 per call. Returns: answer, model, tokens{prompt,output}.
Paramètres, retour & exemple (3)
Paramètrestext· string · requis
Material to analyse.language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.question· string · optionnel
What to answer. Optional.
Exemple d'appel{"name": "hubvibe_llm_analyze", "arguments": {"text": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_llm_extract≈ 416 tokens
Structured data extraction / text to JSON: pull the fields you name out of any text into a JSON object with exactly those keys, null where the text does not state a value (Gemini, no invented values). Use it to turn emails, invoices, pages or documents into clean records. Input: text, fields[]. From a live web page: research.page_facts. $0.25 per call. Returns: fields{} with one key per requested field.
Paramètres, retour & exemple (3)
Paramètrestext· string · requisfields· array · requis
Field names to extract.language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.
Exemple d'appel{"name": "hubvibe_llm_extract", "arguments": {"text": "texte", "fields": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_llm_generate≈ 512 tokens
LLM text generation / chat completion: a raw completion from your prompt with optional system message, max_tokens and temperature; Gemini by default, other configured models by provider and model. Use it for drafting, rewriting, translation, classification or any prompt, paid per call with no API key or account. Input: prompt. Answer grounded in your own text: llm.analyze. $0.25 per call. Returns: text, model, provider, finish_reason, usage{input_tokens,output_tokens}.
Paramètres, retour & exemple (7)
Paramètresmodel· string · optionnel
Optional: a specific model from that provider.prompt· string · requis
The prompt.system· string · optionnel
Optional system message.language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.provider· string · optionnel
Optional: gemini or anthropic.max_tokens· integer · optionnel
1-4096, default 1024.temperature· number · optionnel
0-2, default 0.7.
Exemple d'appel{"name": "hubvibe_llm_generate", "arguments": {"prompt": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_maps_places≈ 690 tokens
Places near me / local search anywhere: 'coffee near the Ferry Building, San Francisco', 'ramen near Shibuya Station', 'pharmacy' at coordinates. From Overture Maps open places data (80M+ places): name, category, distance, address, website, phone, brand, open status and confidence, nearest first; the area widens when nothing is close. Input: query; optional near, lat and lng, radius_m, limit. $0.10 per call. Returns: query, what, near{name, lat, lon, source}, radius_m, places[{id, name, category, distance_m, lat, lon, address, country, website, phone, brand, operating_status, confidence, sources[]}], place_count, attribution[], notes[], checked_at.
Paramètres, retour & exemple (8)
Paramètreslat· number · optionnel
Latitude of the center.lng· number · optionnel
Longitude of the center.near· string · optionnel
Where, if not in the query: a place, US address or airport code.limit· integer · optionnel
Most places to return. Default 10.query· string · requis
What and where: 'coffee near the Ferry Building, San Francisco'.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.radius_m· number · optionnel
Search radius in metres. Default 1000.region_code· string · optionnel
Accepted for compatibility; the location decides the area.
Exemple d'appel{"name": "hubvibe_maps_places", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_maps_route≈ 451 tokens
Directions between two places: route and travel time by car, walking, bicycle or transit through Google Maps Grounding Lite. Use it for trip planning and ETAs. Input: origin, destination; optional travel_mode (DRIVE, WALK, BICYCLE, TRANSIT; default DRIVE). $0.10 per call. Returns: origin, destination, travel_mode, result (route, per Maps Grounding Lite's own shape).
Paramètres, retour & exemple (4)
Paramètresorigin· string · requislanguage· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.destination· string · requistravel_mode· string · optionnel
DRIVE, WALK, BICYCLE or TRANSIT. Default DRIVE.
Exemple d'appel{"name": "hubvibe_maps_route", "arguments": {"origin": "texte", "destination": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_maps_weather≈ 624 tokens
Weather forecast anywhere on Earth: current conditions, the next 24 hours and a seven-day forecast (temperature, precipitation, wind, humidity, cloud, pressure, condition) from MET Norway's forecast model, plus active US National Weather Service alerts for US locations. Input: location as a place name, US street address or airport code, or lat and lng. $0.10 per call. Returns: location, place{name, lat, lon, country, source}, current{time, temperature_c, wind_speed_ms, wind_direction_deg, humidity_pct, cloud_cover_pct, pressure_hpa, condition, precipitation_mm}, hourly[24], daily[7]{date, min_c, max_c, precipitation_mm, condition}, alerts[], alerts_covered, units{}, forecast_updated_at, attribution[], sections_failed[], notes[], checked_at.
Paramètres, retour & exemple (4)
Paramètreslat· number · optionnel
Latitude, instead of a location.lng· number · optionnel
Longitude, instead of a location.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.location· string · optionnel
Place name (Kyoto), US street address, or airport code (JFK).
Exemple d'appel{"name": "hubvibe_maps_weather", "arguments": {"lat": 1, "lng": 1, "language": "texte", "location": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_market_fundamentals≈ 711 tokens
SEC filings / company fundamentals: revenue, net income, diluted EPS, operating income, assets, liabilities, equity, cash and shares outstanding by quarter and year (10-K, 10-Q) as the company reported them to the SEC, from EDGAR's official XBRL API at call time. Name any other XBRL line item; restatements resolve to the latest filing. Input: symbol (US ticker) or cik; optional concepts, periods, forms. $0.05 per call. Returns: symbol, cik, entity_name, concepts{name: {concept, taxonomy, label, unit, values[]}}, concepts_missing[], periods, forms, as_of, source, checked_at.
Paramètres, retour & exemple (6)
Paramètrescik· integer|string · optionnel
SEC Central Index Key, e.g. 320193.forms· array · optionnel
Restrict to these forms, e.g. ["10-K"] for annual figures only.symbol· string · optionnel
US ticker in the SEC's table, e.g. AAPL. Use this OR `cik`.periods· integer · optionnel
Most recent reporting periods per concept, default 8.concepts· array · optionnel
XBRL concept names (us-gaap, ifrs-full or dei). Default: Revenues, NetIncomeLoss, EarningsPerShareDiluted, OperatingIncomeLoss, Assets, Liabilities, StockholdersEquity, CashAndCashEquivalentsAtCarryingValue, EntityCommonStockSharesOutstanding.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_market_fundamentals", "arguments": {"cik": 1, "forms": [], "symbol": "texte", "periods": 1, "concepts": [], "language": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_market_insiders≈ 727 tokens
Insider trading (SEC Form 4): what a company's officers, directors and 10% owners bought and sold, parsed from their Form 4 filings at call time from EDGAR. Each trade: insider, role, date, code and meaning, shares, price, value, holdings after, 10b5-1 plan flag, filing link. Summary: open-market buys vs sells, net shares and dollars. Input: symbol (US ticker) or cik; optional days (default 90), codes such as ["P","S"]. $0.10 per call. Returns: symbol, cik, issuer_name, window, codes, filings_read, transactions[] (insider, role, date, code, code_meaning, shares, price, value, shares_after, rule_10b5_1, filing_url), transaction_count, summary, as_of, notes[], source, checked_at.
Paramètres, retour & exemple (7)
Paramètrescik· integer|string · optionnel
SEC Central Index Key of the issuer, e.g. 1045810.days· integer · optionnel
Look back this many days by filing date. Default 90.codes· array · optionnel
Keep only these Form 4 transaction codes, e.g. ["P"] for open-market buys, ["P", "S"] for buys and sells. Default: all.symbol· string · optionnel
US ticker in the SEC's table, e.g. NVDA. Use this OR `cik`.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.max_filings· integer · optionnel
Most recent Form 4 filings to read. Default 20.include_derivatives· boolean · optionnel
Include option and other derivative lines. Default true.
Exemple d'appel{"name": "hubvibe_market_insiders", "arguments": {"cik": 1, "days": 1, "codes": [], "symbol": "texte", "language": "texte", "max_filings": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_market_intel≈ 472 tokens
Crypto market sentiment in one call: live Coinbase spot price, live Polymarket probabilities and recent news headlines (GDELT) on the same subject, analysed together in a written summary that says what the numbers do and do not support. Use it for a quick read on Bitcoin, Ethereum or any coin. Input: optional product_id (BTC-USD...), query, question, limit. Market data only, not investment advice. $5.00 per call. Returns: spot{}, prediction_markets[], news[], news_note, analysis, disclaimer.
Paramètres, retour & exemple (5)
Paramètreslimit· integer · optionnelquery· string · optionnel
Prediction-market topic. Optional.language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.question· string · optionnel
Optional analysis question.product_id· string · optionnel
e.g. BTC-USD. Default BTC-USD.
Exemple d'appel{"name": "hubvibe_market_intel", "arguments": {"limit": 1, "query": "texte", "language": "texte", "question": "texte", "product_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_market_prediction≈ 499 tokens
Prediction market odds: live Polymarket markets on any topic (elections, Fed rate cuts, crypto, sports, AI, geopolitics) with the probability each outcome implies as a percentage, plus volume, liquidity and end date. Search by topic words or tickers (BTC, 'fed rate cut') or take the biggest markets. A topic no open market matches is refused free, never sold empty. Input: optional query, limit. One market by slug: prediction.market. $0.05 per call. Returns: markets[] with question, implied_probabilities[], volume, end_date.
Paramètres, retour & exemple (3)
Paramètreslimit· integer · optionnel
1-50, default 10.query· string · optionnel
Topic words to match, e.g. 'fed rate cut' or 'BTC 150k' (optional).language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_market_prediction", "arguments": {"limit": 1, "query": "texte", "language": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_market_quote≈ 446 tokens
Crypto price / live coin quote: spot price, 24-hour change and 24-hour volume for Bitcoin, Ethereum, Solana or any Coinbase product (BTC-USD, ETH-USD, SOL-USD...), read at call time from Coinbase's public market data. Use it when an agent needs a current cryptocurrency price. Input: product_id such as BTC-USD. Bid/ask: market.ticker. Whole rate table: market.rates. $0.02 per call. Returns: price, price_change_24h_pct, volume_24h, base/quote currency.
Paramètres, retour & exemple (2)
Paramètreslanguage· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.product_id· string · requis
e.g. BTC-USD.
Exemple d'appel{"name": "hubvibe_market_quote", "arguments": {"product_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_market_rates≈ 412 tokens
Exchange rates / currency conversion table: Coinbase's full rate table for one base currency against every crypto and fiat currency it quotes (USD to BTC, ETH, EUR, GBP, JPY...). Use it to convert amounts between currencies. Input: currency code such as USD. $0.02 per call. Returns: currency, rates{}.
Paramètres, retour & exemple (2)
Paramètrescurrency· string · requis
e.g. USD, ETH, BTC.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_market_rates", "arguments": {"currency": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_market_stock≈ 558 tokens
Stock price / live stock quote for any US ticker: last price, change, day range, volume and market state, plus daily OHLCV history (1d to 5y), read at call time from Nasdaq's public data with Yahoo Finance as fallback. Every answer names its source, the source's timestamp, its delay in minutes and when it was read. Input: symbol (AAPL, NVDA...); optional range, include_history. $0.05 per call. Returns: symbol, name, exchange, currency, price, change, change_pct, previous_close, day_high, day_low, volume, market_state, as_of, delayed_minutes, history[], history_rows, source, checked_at.
Paramètres, retour & exemple (4)
Paramètresrange· string · optionnel · 1d | 5d | 1mo | 3mo | 6mo | 1y | 2y | 5y
History range, default 1mo.symbol· string · requis
Ticker symbol, e.g. AAPL, BRK.B, RY-PC.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.include_history· boolean · optionnel
Default true.
Exemple d'appel{"name": "hubvibe_market_stock", "arguments": {"symbol": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_market_ticker≈ 402 tokens
Crypto ticker / bid and ask: live best bid, best ask, last price and volume for one Coinbase product from Coinbase's Exchange data host, an independent second source to market.quote. Input: product_id such as BTC-USD. $0.02 per call. Returns: product_id, price, bid, ask, volume, time.
Paramètres, retour & exemple (2)
Paramètreslanguage· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.product_id· string · requis
e.g. BTC-USD.
Exemple d'appel{"name": "hubvibe_market_ticker", "arguments": {"product_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_monitor_check≈ 396 tokens
Website change detection, step two: re-fetch a page saved with monitor.snapshot and get whether it changed, how old the baseline is, and a written summary of what changed. Use it to track price changes, terms updates, new job posts or competitor moves. Input: url; optional language. $0.50 per call. Returns: url, title, changed, baseline_age_seconds, change_summary, model.
Paramètres, retour & exemple (2)
Paramètresurl· string · requis
http(s) URL to fetch.language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.
Exemple d'appel{"name": "hubvibe_monitor_check", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_monitor_snapshot≈ 415 tokens
Website change monitoring, step one: fetch a page and store it as the baseline to compare against later. Use it to watch pricing pages, terms, job boards or competitors. Input: url. Then call monitor.check to learn whether and how it changed. $0.50 per call. Returns: url, title, text_chars, content_hash, note.
Paramètres, retour & exemple (2)
Paramètresurl· string · requis
http(s) URL to fetch.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_monitor_snapshot", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_news_search≈ 626 tokens
News search API: current news on any topic in any language from the GDELT Project, which reads the world's press every 15 minutes. Titles matched in their original script, newest first, with publisher, language and link; filter to one language; a US stock ticker searches the company's name. Window up to 30 days (default 72 hours). Input: query and/or symbol; optional language, limit, since_hours. $0.25 per call. Returns: query, symbol, language, edition{}, sources_searched[], sources_ok[], sources_failed[], articles[{title, url, source_name, source_url, published_at, summary, feed}], article_count, limit, since_hours, notes[], checked_at.
Paramètres, retour & exemple (6)
Paramètreslimit· integer · optionnel
Default 20.query· string · optionnel
Topic words in any language (半導体, 반도체, tarifs douaniers).region· string · optionnel
Accepted for compatibility; GDELT does not record a publisher's country, so use language.symbol· string · optionnel
Optional US ticker (AAPL, MSFT): searches the company's name from the SEC ticker table.language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.since_hours· integer · optionnel
Only articles published within this many hours.
Exemple d'appel{"name": "hubvibe_news_search", "arguments": {"limit": 1, "query": "texte", "region": "texte", "symbol": "texte", "language": "texte", "since_hours": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_opendata_search≈ 661 tokens
Government open data search across 16 national portals in one call: Korea (data.go.kr), Japan, Hong Kong, Australia, UK, Canada, the EU catalog (139,000+ datasets), Germany, Italy, Ireland, Switzerland, Netherlands, Israel and Chile. Query in any language; each match returns organization, update time and download URLs ready for opendata.table. Portals that did not answer are listed. Input: query; optional region, limit, portals. $0.10 per call. Returns: query, region, portals_searched[], portals_ok[], portals_failed[], total_matches{}, results[{portal, title, description, organization, landing_url, resources[{url, format}]...}], result_count, checked_at.
Paramètres, retour & exemple (5)
Paramètreslimit· integer · optionnel
Results per portal, default 10.query· string · requis
Words to search for, in any language (인구, 人口, rainfall, Bevölkerung).region· string · optionnel · all | au | ca | ch | cl | de | eu | gb
Which portals to search. Default all (16 portals, concurrently).portals· array · optionnel
Specific portal ids instead of a region, e.g. ["data.go.kr", "data.bodik.jp"].language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_opendata_search", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_opendata_table≈ 638 tokens
Dataset file to JSON rows: a CSV, TSV, XLSX or JSON link from any portal, an e-Stat (Japan) download or a data.go.kr (Korea) dataset page. Encoding detected (Korean, Japanese, Chinese, UTF and Western code pages), header row found, numbers typed, XLSX sheets selectable, large files capped and disclosed. Use it after opendata.search or on any data file URL. Input: url; optional max_rows, sheet, encoding, delimiter. $0.10 per call. Returns: source_url, resolved_from, file_url, final_url, filename, content_type, bytes, format, encoding, sheet, sheets[], columns[], column_count, rows[{...}], row_count, total_rows, truncated, notes[], checked_at.
Paramètres, retour & exemple (6)
Paramètresurl· string · requis
File link, e-Stat file-download link, or a data.go.kr dataset page.sheet· string|integer · optionnel
XLSX sheet name or 0-based index. Default: first sheet.encoding· string · optionnel
Force a codec (cp949, shift_jis, big5). Default: detected.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.max_rows· integer · optionnel
Rows to return, default 200.delimiter· string · optionnel
Force a CSV delimiter. Default: sniffed.
Exemple d'appel{"name": "hubvibe_opendata_table", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_phone_parse≈ 557 tokens
Phone number validation and lookup: valid or not, country and area, the carrier the range was issued to, line type (mobile, landline, toll-free, VoIP, premium), time zones and E.164, international and national formats, from Google's libphonenumber numbering plans. Nothing is dialled and the owner is never looked up. Input: number; optional region for a national-format number. $0.02 per call. Returns: input{}, valid, possible, e164, international, national, country_code, region, country, location, carrier, line_type, time_zones[], metadata_version, notes[], checked_at.
Paramètres, retour & exemple (3)
Paramètresnumber· string · requis
One phone number, international (+44 20 7946 0958) or national with `region`.region· string · optionnel
Two-letter country code for a national-format number (GB, US).language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_phone_parse", "arguments": {"number": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_prediction_events≈ 415 tokens
Top prediction market events: Polymarket events (groups of related markets) ranked by trading volume, with title, slug, end date and market count. Use it to see what the biggest prediction markets are right now. Input: optional limit. $0.05 per call. Returns: events[{id,title,slug,volume,end_date,market_count}], count.
Paramètres, retour & exemple (2)
Paramètreslimit· integer · optionnel
1-50, default 10.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_prediction_events", "arguments": {"limit": 1, "language": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_prediction_market≈ 414 tokens
One prediction market by slug: a Polymarket market's question and the current probability of each outcome as a percentage. Use it to track a market you already know. Input: slug. Search markets by topic: market.prediction. $0.05 per call. Returns: slug, market{question,implied_probabilities[],...}.
Paramètres, retour & exemple (2)
Paramètresslug· string · requis
The market's Polymarket slug.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_prediction_market", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_predictive_probability_engine≈ 1105 tokens
Predictive probability and regression engine: least-squares linear regression with standard errors, confidence and prediction intervals, a fitted normal distribution with quantiles and probability queries (P(y > t)), exact Student t and Jarque-Bera p-values. Points inline or from a BigQuery table. Deterministic arithmetic, no LLM: the same input always returns the same numbers. Input: points or table with x_column, y_column; optional metrics, predict_x, probability_queries. $0.50 per call. Returns: source{}, n, alpha, confidence_level, metrics[], linear_regression{}, normal_distribution{}, p_values{}, prediction[], notes[], method.
Paramètres, retour & exemple (11)
Paramètresalpha· number · optionnel
Significance level for p-value validation and intervals. Default 0.05.table· string · optionnel
BigQuery table to read instead of `points`: project.dataset.table, readable by the node's service account (public datasets are). Needs x_column and y_column.points· array · optionnel
The data: [x, y] pairs (or {x, y} objects), 2 to 100000 of them; at least 3 for a regression. Use this OR `table`.metrics· array · optionnel
Which results to compute. Default: linear_regression, normal_distribution and p_values, plus prediction when predict_x is given.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.max_rows· integer · optionnel
Rows to read from `table`, default 10000. A larger table is reduced to this many rows by FARM_FINGERPRINT order, so the same table always yields the same rows.x_column· string · optionnel
Numeric column for x, with `table`.y_column· string · optionnel
Numeric column for y, with `table`.predict_x· array · optionnel
x values to predict y at, with mean and prediction intervals.distribution_of· string · optionnel · y | x | residuals
Which values the normal model fits. Default y.probability_queries· array · optionnel
Probabilities to read off the fitted normal model: {"below": v}, {"above": v} or {"between": [a, b]}.
Exemple d'appel{"name": "hubvibe_predictive_probability_engine", "arguments": {"alpha": 1, "table": "texte", "points": [], "metrics": [], "language": "texte", "max_rows": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_property_context≈ 712 tokens
Real estate data for any US address: FEMA flood and 17 other hazard risk ratings with expected annual loss, median home value, rent, income, ownership and vacancy (Census), price trend (FHFA), fair market rents (HUD), nearby public schools (NCES), walkability (EPA) and Superfund sites nearby, plus tract, county, ZIP and districts, all from federal sources in one call. Input: address, or lat and lng. $0.25 per call. Returns: input{}, matched_address, lat, lng, geography{state, county, tract, zip, metro, congressional_district, school_district...}, flood{zone, special_flood_hazard_area...}, hazard_risk{overall_rating, hazards{}, notice...}, housing{median_home_value, median_gross_rent...}, price_trend{}, fair_market_rent{zip{}...}, schools[], walkability{}, superfund_sites[], sources[], sections_failed[], notes[], checked_at.
Paramètres, retour & exemple (6)
Paramètreslat· number · optionnel
Latitude, instead of an address.lng· number · optionnel
Longitude, instead of an address.address· string · optionnel
US street address with city and state or ZIP.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.school_radius_km· number · optionnel
Schools within this radius. Default 1.5.superfund_radius_km· number · optionnel
Superfund sites within this radius. Default 5.
Exemple d'appel{"name": "hubvibe_property_context", "arguments": {"lat": 1, "lng": 1, "address": "texte", "language": "texte", "school_radius_km": 1, "superfund_radius_km": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_research_brief≈ 422 tokens
Summarize and analyze a web page: the URL is rendered in a real browser, its content extracted, and a written brief answering your question returned, grounded in that page only and saying so when the page does not answer. Use it for competitor pages, docs, articles and listings. Input: url; optional question. Fixed JSON fields: research.page_facts. Needs a web search: research.web. $5.00 per call. Returns: brief, title, final_url, source{}, model.
Paramètres, retour & exemple (3)
Paramètresurl· string · requislanguage· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.question· string · optionnel
Optional; defaults to an overview.
Exemple d'appel{"name": "hubvibe_research_brief", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_research_company≈ 438 tokens
Company research report: what a company does, its products and anything notable, from the live web (official site and Wikipedia first) and recent GDELT news, every claim cited to a numbered source, thin or conflicting evidence disclosed. Use it for due diligence, sales prep and competitor research. Input: company name; optional max_sources. Structured firmographics in one cheap call: company.enrich. $10.00 per call. Returns: company, report, sources[{n,url,title}], partial[], news[], news_note, model.
Paramètres, retour & exemple (3)
Paramètrescompany· string · requislanguage· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.max_sources· integer · optionnel
1-4, default 4.
Exemple d'appel{"name": "hubvibe_research_company", "arguments": {"company": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_research_page_facts≈ 415 tokens
Structured facts from a web page / scrape to JSON: name the fields you need (pricing, plans, contact, product names, anything) and get exactly those keys back as JSON from the live page rendered in a real browser, null where the page does not say. Use it for price monitoring, lead data and catalog extraction. Input: url, fields[]. $5.00 per call. Returns: fields{} with one key per requested field, plus title and final_url.
Paramètres, retour & exemple (3)
Paramètresurl· string · requisfields· array · requislanguage· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.
Exemple d'appel{"name": "hubvibe_research_page_facts", "arguments": {"url": "texte", "fields": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_research_web≈ 413 tokens
Deep web research with citations: search the live web for your question, read the top sources in full, and get a written answer with every claim tied to a numbered source. Use it when an agent needs a sourced answer, not a list of links. Input: question; optional max_sources. Quick answer with links: search.web. $5.00 per call. Returns: question, answer, sources[{n,url,title}], partial[], model.
Paramètres, retour & exemple (3)
Paramètreslanguage· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.question· string · requismax_sources· integer · optionnel
1-4, default 3.
Exemple d'appel{"name": "hubvibe_research_web", "arguments": {"question": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_sanctions_screen≈ 792 tokens
Sanctions screening (AML/KYC): screen a person, company, vessel or aircraft against the OFAC SDN and consolidated lists, the UK Sanctions List and the EU financial sanctions list, read from the governments' own files with each list's date returned. Fuzzy and word-order free: aliases and typos match, a different surname does not. Each hit: list, programmes, countries, birth dates, UN reference. Input: name; optional type, country, birth_year. $0.05 per call. Returns: query{}, verdict (potential_match | no_match), match_count, matches[{list, list_name, id, name, matched_name, score, type, programs[], countries[], birth_dates[], un_reference, listed_on, source_url}], lists[{list, name, publisher, license, source_url, as_of, entries, loaded}], notes[], checked_at.
Paramètres, retour & exemple (8)
Paramètresname· string · requis
The person, company, vessel or aircraft name, in any word order.type· string · optionnel · any | person | entity | vessel | aircraft
Only match this kind of listing. Default any.limit· integer · optionnel
Most matches returned, 1-50. Default 10.lists· array · optionnel
Optional subset of lists to screen. Default all four.country· string · optionnel
Optional country (Iran, Russia): a listing that records only other countries is dropped.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.threshold· number · optionnel
Minimum match score, 0.6-1. Default 0.85.birth_year· integer · optionnel
Optional, for people: a listing whose recorded birth years are all more than a year away is dropped.
Exemple d'appel{"name": "hubvibe_sanctions_screen", "arguments": {"name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_search_results≈ 649 tokens
Web search API / SERP results: raw web and news results from Brave's independent index in any language and country, with title, URL, description, age and extra snippets (headline, source and age for news). Filter by country, language and freshness (day, week, month, year). Results, not an answer: pick what to read next with extract.page. Input: query; optional country, language, count, freshness, news. $0.25 per call. Returns: query, country, language, freshness, web[{title, url, description, age, page_age, language, site_name, hostname, extra_snippets[]}], web_count, news[{title, url, description, age, page_age, source, breaking}], news_count, more_results_available, source, notes[], checked_at.
Paramètres, retour & exemple (7)
Paramètresnews· boolean · optionnel
Include news results. Default true.count· integer · optionnel
Results per block, default 10.query· string · requis
Words to search for, in any language.country· string · optionnel
Market, ISO 3166-1 alpha-2 (US, JP, DE). Default: the engine's.language· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.freshness· string · optionnel · day | week | month | year
Only results from this window.safesearch· string · optionnel · off | moderate | strict
Default moderate.
Exemple d'appel{"name": "hubvibe_search_results", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_search_web≈ 406 tokens
Web search with an answer: real-time search of Brave's independent web index, answered from the current results only, with every source URL and title returned, never the model's memory. Use it when an agent needs up-to-date information, latest news, prices or facts from the web. Input: query; optional language. Raw result list (SERP): search.results. Sources read in full with citations: research.web. $0.10 per call. Returns: query, answer, sources[{url,title}], search_queries_used[], model.
Paramètres, retour & exemple (2)
Paramètresquery· string · requislanguage· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.
Exemple d'appel{"name": "hubvibe_search_web", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_security_mcp_inspect≈ 448 tokens
MCP server security scan: probe any MCP endpoint's initialize handshake and tools/list and report whether it requires authentication, which protocol version it speaks, how many tools it exposes and which are not marked read-only. Use it before connecting an agent to an unknown MCP server. Input: url of the MCP endpoint. $5.00 per call. Returns: reachable, requires_auth, protocol_version, tool_count, tools[], tools_without_readonly_annotation[].
Paramètres, retour & exemple (2)
Paramètresurl· string · requis
http(s) URL to fetch.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_security_mcp_inspect", "arguments": {"url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_social_bluesky≈ 698 tokens
Bluesky data, live and keyless: a profile with its latest posts and engagement (likes, reposts, replies, quotes), an account search, or a post thread with its replies, from the public AppView. Use it for social listening and influencer checks on Bluesky. Input: mode (profile, search_actors, thread) with actor, query or uri; optional posts, limit, depth. $0.05 per call. Returns: mode, actor, query, uri, profile{}, posts[], actors[], thread{}, post_count, actor_count, source, as_of, checked_at.
Paramètres, retour & exemple (8)
Paramètresuri· string · optionnel
Post AT-URI, at://did:plc:.../app.bsky.feed.post/<rkey>; thread mode.mode· string · requis · profile | search_actors | thread
profile: an account and its latest posts; search_actors: accounts matching a query; thread: a post and its replies.actor· string · optionnel
Handle (bsky.app) or DID (did:plc:...); profile mode.depth· integer · optionnel
Reply depth to flatten in thread mode, default 2.limit· integer · optionnel
Accounts to return in search_actors mode, default 10.posts· integer · optionnel
Latest posts to return in profile mode, default 10.query· string · optionnel
Words to match accounts on; search_actors mode.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_social_bluesky", "arguments": {"mode": "profile"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_social_mastodon≈ 756 tokens
Mastodon data, live and keyless (any public instance): a hashtag timeline, an account with its latest posts, account or hashtag search, or trending hashtags, each post with text, counts, media and tags. Use it for social listening and trend tracking in the fediverse. Input: mode (hashtag, account, search, trends) with tag, acct or query; optional instance, limit. $0.05 per call. Returns: mode, instance, tag, acct, query, kind, account{}, statuses[], accounts[], hashtags[], status_count, source, as_of, checked_at.
Paramètres, retour & exemple (9)
Paramètrestag· string · optionnel
Hashtag without #; hashtag mode.acct· string · optionnel
Username, optionally @domain (Gargron or Gargron@mastodon.social); account mode.kind· string · optionnel · accounts | hashtags
What to search for, default accounts.mode· string · requis · hashtag | account | search | trends
hashtag: latest statuses under a tag; account: an account and its statuses; search: accounts or hashtags matching a query; trends: trending hashtags.limit· integer · optionnel
Items to return (hashtag up to 40, search up to 25, trends up to 20), default 10.query· string · optionnel
Search words; search mode.instance· string · optionnel
Mastodon server hostname, default mastodon.social.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.statuses· integer · optionnel
Latest statuses to return in account mode, default 10.
Exemple d'appel{"name": "hubvibe_social_mastodon", "arguments": {"mode": "hashtag"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_social_x_pulse≈ 688 tokens
Twitter / X sentiment and volume for any topic, as numbers, live: post volume per hour or day over the last 1-7 days, and over a sample of recent posts the engagement totals and rate (likes, reposts, replies, quotes, impressions), language mix, top hashtags and link/media share. Aggregates only: no post text or authors. Input: query (X operators allowed); optional days, granularity, sample, lang. $0.50 per call. Returns: query, effective_query, window{}, granularity, volume{total, buckets[]}, sample{requested, read, pages, x_cost_usd}, engagement{likes_total, ..., languages{}, top_hashtags[]}, source, as_of, checked_at.
Paramètres, retour & exemple (7)
Paramètresdays· integer · optionnel
Window ending now, default 7 (X's recent limit).lang· string · optionnel
Restrict to a language (en, ja...).query· string · requis
Words or X search operators ("machine learning" from:nasa has:links).sample· integer · optionnel
Recent posts read for the engagement aggregates, default 40; 0 = volume only.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.granularity· string · optionnel · hour | day
Volume buckets, default day.include_retweets· boolean · optionnel
Default false: reposts are excluded from volume and sample.
Exemple d'appel{"name": "hubvibe_social_x_pulse", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_speech_synthesize≈ 416 tokens
Text to speech (TTS): convert text to natural spoken MP3 audio with Google Cloud Text-to-Speech, returned as base64. Use it for voice replies, narration, audio versions of text and accessibility. Input: text; optional voice name. $0.25 per call. Returns: text_chars, voice, audio_base64, mime_type.
Paramètres, retour & exemple (3)
Paramètrestext· string · requisvoice· string · optionnel
e.g. en-US-Standard-C. Optional.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.
Exemple d'appel{"name": "hubvibe_speech_synthesize", "arguments": {"text": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_speech_transcribe≈ 457 tokens
Speech to text / audio transcription: transcribe up to 60 seconds or 10 MB of audio with Google Cloud Speech-to-Text and get the transcript with its confidence and detected language. Use it for voice notes, call snippets and clips. Input: audio_base64; optional language_code. Longer audio is refused before payment. $0.25 per call. Returns: transcript, language_code, confidence, model.
Paramètres, retour & exemple (3)
Paramètreslanguage· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.audio_base64· string · requis
Base64-encoded audio, any common format.language_code· string · optionnel
BCP-47, default en-US.
Exemple d'appel{"name": "hubvibe_speech_transcribe", "arguments": {"audio_base64": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_traffic_route≈ 707 tokens
Travel time with live traffic between two places, from the Google Routes API at call time: duration with traffic, duration without, the delay, distance, route description, warnings and advisories. Places as addresses, names or 'lat,lng'. Use it for ETAs, delivery windows and trip planning. Input: origin, destination; optional travel_mode, departure_time, traffic. $0.10 per call. Returns: origin, destination, travel_mode, traffic, departure_time, distance_meters, duration_seconds, static_duration_seconds, delay_seconds, duration_text, static_duration_text, distance_text, description, warnings[], advisory, source, as_of, checked_at.
Paramètres, retour & exemple (6)
Paramètresorigin· string · requis
Where the trip starts: an address, a place name, or "lat,lng".traffic· string · optionnel · aware | optimal | none
aware (default): live traffic; optimal: live traffic with the best route quality, slower; none: no traffic.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.destination· string · requis
Where the trip ends: an address, a place name, or "lat,lng".travel_mode· string · optionnel · DRIVE | TWO_WHEELER | WALK | BICYCLE | TRANSIT
Default DRIVE. Traffic applies to DRIVE and TWO_WHEELER only.departure_time· string · optionnel
RFC 3339 departure time in the future (2026-09-27T16:30:00Z); omit to leave now.
Exemple d'appel{"name": "hubvibe_traffic_route", "arguments": {"origin": "texte", "destination": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_travel_flight_status≈ 698 tokens
Flight status and airport delays, live: by airport code, FAA ground stops and delay programs with average and max delay (US), live departure and arrival boards with gates and status (Norway), current METAR and TAF weather (any ICAO airport) and aircraft overhead; by callsign, the aircraft's live position, altitude and speed. Input: airport (IATA or ICAO) or callsign; optional flight, direction, hours_ahead. $0.25 per call. Returns: query{}, airport{iata, icao, name, city, country, lat, lon}, delays{status, ground_stop, ground_delay, closure, arrival_delay, departure_delay, runways, notices}, board{departures[], arrivals[], attribution}, weather{metar, taf, flight_category...}, aircraft[], aircraft_scope, coverage{}, attribution[], sections_failed[], notes[], checked_at.
Paramètres, retour & exemple (6)
Paramètresflight· string · optionnel
Flight number to pick from the board (SK344).airport· string · optionnel
IATA (OSL, JFK) or ICAO (ENGM, KJFK) code.callsign· string · optionnel
Callsign as broadcast (SAS1411, UAL123): the aircraft's live position.language· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.direction· string · optionnel · both | departures | arrivals
Board direction. Default both.hours_ahead· integer · optionnel
Board window ahead, hours. Default 3.
Exemple d'appel{"name": "hubvibe_travel_flight_status", "arguments": {"flight": "texte", "airport": "texte", "callsign": "texte", "language": "texte", "direction": "both", "hours_ahead": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_verify_claims≈ 431 tokens
Fact check claims against sources: up to 10 claims checked against up to 4 source URLs you name; each comes back SUPPORTED, CONTRADICTED or UNSUPPORTED with the exact quote the verdict rests on. Use it to verify AI output, citations or statements before publishing. Input: claims[], sources[]. A question but no sources yet: research.web. $5.00 per call. Returns: claims[], verdicts[{claim,verdict,quote,source_n}], sources_read[], sources_unread[], model.
Paramètres, retour & exemple (3)
Paramètresclaims· array · requissources· array · requislanguage· string · optionnel
Optional answer language, BCP-47 (en, ja, pt-BR). Default: the input's.
Exemple d'appel{"name": "hubvibe_verify_claims", "arguments": {"claims": [], "sources": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_video_generate≈ 515 tokens
AI video generation / text to video: a short clip from a text prompt with Google Veo, returned as a download link (video_url, valid 48 hours) with its MIME type, optionally with generated audio. Input: prompt; optional aspect_ratio (16:9 or 9:16), duration_seconds (4, 6 or 8), generate_audio, inline. $10.00 per call. Returns: prompt, aspect_ratio, duration_seconds, video_url (48 h), video_base64 when inline, mime_type, model.
Paramètres, retour & exemple (6)
Paramètresinline· boolean · optionnel
Also return the bytes as video_base64. Default false.prompt· string · requislanguage· string · optionnel
Optional BCP-47 language tag (en, ja, ko, pt-BR): the human-readable strings of the result (notes, details, reasons) are translated into this language; data, codes, numbers and URLs are untouched. Default: as produced.aspect_ratio· string · optionnel
16:9 or 9:16. Default 16:9.generate_audio· boolean · optionnel
Default false.duration_seconds· integer · optionnel
4, 6 or 8. Default 6.
Exemple d'appel{"name": "hubvibe_video_generate", "arguments": {"prompt": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}} - hubvibe_video_youtube≈ 704 tokens
YouTube search and video stats, live: search YouTube or look up videos by id, each with title, channel, upload time, duration, views, likes, comments, live flag and thumbnail from the YouTube Data API at call time. Sort by relevance, date, views or rating; filter by upload date, country and language. Input: query or video_ids; optional max_results, order, published_after, region_code. $0.05 per call. Returns: query, video_ids, total_results, items[{video_id, url, title, description, channel_id, channel_title, published_at, duration_seconds, view_count, like_count, comment_count, live, thumbnail_url}], item_count, source, as_of, checked_at.
Paramètres, retour & exemple (7)
Paramètresorder· string · optionnel · relevance | date | viewCount | rating | title
With query: YouTube's sort, default relevance.query· string · optionnel
Words to search YouTube for, in any language. Use this OR `video_ids`.language· string · optionnel
With query: ISO 639 language code of the results to prefer, e.g. en, ja.video_ids· array · optionnel
YouTube video ids (11 characters) to look up directly; skips the search.max_results· integer · optionnel
With query: videos to return, default 10.region_code· string · optionnel
With query: ISO 3166-1 alpha-2 country whose results to prefer, e.g. US, JP.published_after· string · optionnel
With query: only videos uploaded at or after this RFC 3339 time, e.g. 2026-01-01T00:00:00Z.
Exemple d'appel{"name": "hubvibe_video_youtube", "arguments": {"order": "relevance", "query": "texte", "language": "texte", "video_ids": [], "max_results": 1, "region_code": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": {}, "status": "texte", "worker": "texte", "price_usd": 1, "provenance": {}, "receipt_id": "texte", "attribution": [], "receipt_url": "texte", "billing_warning": "texte"}}
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