io.github.santiment/santiment-mcp

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Au dernier audit MCP Hub, le serveur MCP « io.github.santiment/santiment-mcp » 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 8 outils

• assets_by_metric_tool≈ 2291 tokens

  A powerful metrics-based project filtering and sorting tool that works with cryptocurrency assets based on their metrics and allows for ordered, paginated results. The tool allows for filtering assets by a metric and sorting them according to that same metric in ascending or descending metric, or just to sort the assets by a metric without filtering. This tool allows you to discover projects that meet specific criteria by analyzing their metrics over time periods. You can filter projects by absolute values (greater_than/less_than thresholds) or by percentage changes, or just sort projects by some metric. ## When to use vs other metric tools This tool scans the whole asset universe and returns one aggregated value per matching asset — use it for "which assets satisfy X" and "top N by X". It never returns a timeseries: for the values of a metric over time for already-known slugs use `fetch_metric_data_tool`. To check that a metric exists (or fix a mistyped metric/slug) use `metrics_and_assets_discovery_tool`. ## Use Cases - Get top 10 assets by marketcap, sorted in descending order - Get top 50 assets with highest dev_activity_1d - Find assets with price more than $10 - Discover tokens whose price increased by more than 50% in the last 30 days - Screen for projects with market cap less than $100M - Identify assets that have dev_activity_1d decline by more than 20% in the past month ## Examples - Get projects that have a price_usd in the last 24 hours and it's greater_than $500. Get the first 20 ordered by price_usd in descending order `{metric: "price_usd", operator: :greater_than, threshold: 500.0, from: "utc_now-24h", to: "utc_now", sort: "desc, page: 1, page_size: 20}` - Find projects whose price_usd today is 25% higher than 7 days ago, sorted by the highest percent increase in descending order. Get the first 100. `{metric: "price_usd", operator: :percent_up, threshold: 25.0, from: "utc_now-7d", to: "utc_now", sort: "desc", page: 1, page_size: 100}` - Projects with current market cap less_than $50M. Get 100 such projects, ordered by marketcap in descending order. `{metric: "marketcap_usd", operator: :less_than, threshold: 50000000.0, from: "utc_now-1d", to: "utc_now", sort: "desc", page: 1, page_size: 100}` Here is how the filtering works: - For absolute value operators - `greater_than` and `less_than` - fetch the `metric` for each asset in the interval `from`-`to`, aggregting it using the specified `aggregation` method (defaulting to the metric's default). - For percent change operators - `percent_up` and `percent_down` - fetch the `metric` for each asset in the interval `from-`to`, as well as in the same length interval immediately before `from`. The two resulting values are compared to calculate the percentage change. Some metrics like price_usd and marketcap_usd are aggregated with `LAST` aggregation by default, meaning that the last known value in the queried interval is used. For percent change, this means that the tool compares the last known price immediately before `from` and the last known price before `to`. Other metrics like transaction_volume_usd and social_volume_total (and most other volume metrics) are aggregated by default with SUM aggregation, meaning that the total combined sum in the queried interval is used. For these metrics length of the time window is vital. A common mistake is to try to check if the social_total_total for the last 5 minutes is greater_than some threshold. Five minutes is not enough for social volume to accumulate enough. In such scenarios use a longer time window like 1 day or more.

  Paramètres, retour & exemple (9)

  Paramètres

  • to · string · requis
    End date/time for the analysis period. Defines the end of the time window for metric aggregation. Accepts ISO 8601 datetime strings (e.g., "2024-12-31T23:59:59Z") or relative time expressions (e.g., "utc_now" for current time, "utc_now-1d" for yesterday). Defaults to current time if not specified. Must be after the 'from' date. Used with percentage operators to calculate change over the specified period.
  • from · string · requis
    Start date/time for the analysis period. Defines the beginning of the time window for metric aggregation. Accepts ISO 8601 datetime strings (e.g., "2024-01-01T00:00:00Z") or relative time expressions (e.g., "utc_now-30d" for 30 days ago, "utc_now-1h" for 1 hour ago) Defaults to 30 days ago if not specified. Used with percentage operators to calculate change over time.
  • page · integer · requis
    Page number for paginated results. Used to retrieve specific pages when the result set is large. Starts from 1 (first page). Combine with page_size to control how many results are returned per page. Useful when only the top 10, 20, 100, etc. assets are needed.
  • sort · string · requis · asc | desc
    Sort order for the filtered results based on the aggregated metric values. - "asc" - Ascending order (lowest values first, e.g., cheapest prices first) - "desc" - Descending order (highest values first, e.g., most expensive prices first) Particularly useful when combined with pagination to get the top/bottom performers. Example: sort="desc" with price_usd shows highest-priced projects first.
  • metric · string · requis
    The metric to use for screening projects. This determines what aspect of each project will be analyzed. Common metrics include: 'price_usd', 'marketcap_usd', 'volume_usd', 'dev_activity', 'social_volume', 'active_addresses'. Use the data catalog to discover all available metrics for comprehensive screening options. Discover the supported metrics with the metrics_and_assets_discovery_tool.
  • operator · string · optionnel · greater_than | less_than | percent_up | percent_down
    Comparison operator that determines how projects are filtered based on the metric and threshold. Absolute value operators (compare current values): - `greater_than` - Include projects where the aggregated metric value is greater than the threshold - `less_than` - Include projects where the aggregated metric value is less than the threshold Percentage change operators (compare change from 'from' to 'to' period): - `percent_up` - Include projects where the metric increased by more than the threshold percentage - `percent_down` - Include projects where the metric decreased by more than the threshold percentage If this parameter is not provided, the threshold parameter also must not be provided. If they are not provided, the tool will simply sort the assets and will do no filtering. Example: operator=percent_up, threshold=25.0 finds projects that gained more than 25%.
  • page_size · integer · requis
    Number of projects to return per page (max 100). Controls the size of each paginated response.
  • threshold · ? · optionnel
    The numeric threshold value used for filtering projects. The meaning depends on the operator: For absolute operators (:greater_than, :less_than): - The actual metric value to compare against (e.g., 10.5 for price_usd greater_than $10.50) - Units match the metric (USD for price/market cap, count for addresses, etc.) For percentage operators (:percent_up, :percent_down): - The percentage change threshold (e.g., 25.0 for 25% change) - Always expressed as a positive number regardless of direction If this parameter is not provided, the operator parameter also must not be provided. If they are not provided, the tool will simply sort the assets and will do no filtering. Examples: threshold=50000000.0 with :less_than finds projects with market cap under $50M
  • aggregation · string · optionnel · min | max | sum | first | last | avg
    Method for aggregating metric data over the specified time period. Determines how multiple data points within the time window are combined into a single value for comparison. Common aggregation methods: - "avg" - Average value over the period (default for most metrics) - "sum" - Total sum of values (useful for volume, transaction counts) - "max" - Maximum value in the period (highest price, peak activity) - "min" - Minimum value in the period (lowest price, minimum activity) - "last" - Most recent value in the period - "first" - Earliest value in the period If not specified, uses the metric's default aggregation, whichi is carefully selected based on the metric type. Some aggregations do not make sense for certain metrics (e.g., summing prices). If not specifically required, using the metric's default aggregation method is recommended.

  Exemple d'appel

  {"name": "assets_by_metric_tool", "arguments": {"to": "texte", "from": "texte", "page": 1, "sort": "asc", "metric": "texte", "page_size": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• combined_trends_tool≈ 962 tokens

  Combined trends tool that fetches trending words, stories, and documents in parallel. This tool provides a unified view of all trending data - words with their documents and stories - in a single response across all crypto projects. ## When to use vs `trending_stories_tool` This is a superset of `trending_stories_tool`: same stories, plus trending words, their context and AI-generated bull/bear summaries. It calls an LLM, so it is slower and has a tighter per-tool rate-limit sub-cap than every other tool. If only trending stories are needed, call `trending_stories_tool` instead; set `include_words: false` / `include_stories: false` to drop a half that is not needed. Do not call both tools for the same question. ## Parameters - `time_period` - Time period for trending data (e.g., '1h', '6h', '1d', '7d'). Defaults to '1h' (last hour). - `size` - Number of items per category to return (max 10). Defaults to 10. Only the 2 most recent trend periods are returned, whatever `time_period` is. A period is 1 hour for time_period up to 1d, 6 hours up to 7d, and 1 day beyond that, so e.g. '2d' returns only the last 12 hours. When older periods are dropped, `metadata.notice` says so and `metadata.returned_since` gives the start of the oldest period returned. - `include_stories` - Include trending stories in response. Defaults to true. - `include_words` - Include trending words in response. Defaults to true. ## Response - `trends` - Combined trending data containing stories and words. - `metadata` - Request metadata including time period, size, and included data types. - `errors` - Any non-fatal errors encountered during data fetching. ## Trending Data Structure ### Stories - `title` - Title of the trending story. - `summary` - Summary of the story. - `score` - Trending score. - `query` - Search query used to find the story. - `related_tokens` - List of related crypto tokens (format: "BTC_bitcoin"). - `bullish_sentiment_ratio` - Bullish sentiment ratio. - `bearish_sentiment_ratio` - Bearish sentiment ratio. ### Words - `word` - The trending word. - `score` - Trending score. - `slug` - Associated project slug (if word is project-related). - `summary` - AI-generated summary of discussions. - `bullish_summary` - Summary of bullish sentiment. - `bearish_summary` - Summary of bearish sentiment. - `positive_sentiment_ratio` - Positive sentiment ratio. - `negative_sentiment_ratio` - Negative sentiment ratio. - `neutral_sentiment_ratio` - Neutral sentiment ratio. - `positive_bb_sentiment_ratio` - Positive bull/bear sentiment ratio. - `negative_bb_sentiment_ratio` - Negative bull/bear sentiment ratio. - `neutral_bb_sentiment_ratio` - Neutral bull/bear sentiment ratio. - `context` - Related words that appear with this trending word. - `documents_summary` - AI-generated summary of related social media discussions.

  Paramètres, retour & exemple (4)

  Paramètres

  • size · integer · optionnel
    Number of items per category to return (max 10). Defaults to 10.
  • time_period · string · optionnel
    Time period for trending data (e.g., '1h', '6h', '1d', '7d'). This parameter defines how far back to look for trending data. Only the 2 most recent trend periods are returned (1h periods up to '1d', 6h periods up to '7d', 1d periods beyond). Defaults to '1h' (last hour).
  • include_words · boolean · optionnel
    Include trending words in the response. Defaults to true.
  • include_stories · boolean · optionnel
    Include trending stories in the response. Defaults to true.

  Exemple d'appel

  {"name": "combined_trends_tool", "arguments": {"size": 1, "time_period": "texte", "include_words": true, "include_stories": true}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• fetch_insights_tool≈ 132 tokens

  Fetch full text content for specific santiment crypto insights IDs

  Paramètres, retour & exemple (1)

  Paramètres

  • insight_ids · ? · requis
    Array of santiment crypto insights IDs to fetch full content for (max 10)

  Exemple d'appel

  {"name": "fetch_insights_tool", "arguments": {"insight_ids": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• fetch_metric_data_tool≈ 813 tokens

  Fetch metric timeseries for one metric and one or many slugs, or for a text search term. Defaults: last 30 days (time_period="30d"), interval="1d". Pass `text` instead of `slugs` to get a social metric for any word or phrase (e.g. how often "sold" was mentioned), not just for an asset. Use this when the assets are already known and the values over time matter. For the opposite direction — "which assets satisfy X" / "top N by X", one aggregated value per asset across the whole universe — use `assets_by_metric_tool`. To confirm a metric exists for a slug first, use `metrics_and_assets_discovery_tool`; to draw the result, use `show_chart`.

  Paramètres, retour & exemple (5)

  Paramètres

  • text · string · optionnel
    Pass either `slugs` or `text`, not both. A search term (word or phrase, e.g. "sold" or "etf approval") to compute the metric for, instead of an asset. Supported only by social metrics such as social_volume_total and social_dominance_total. For text, social dominance is the share of all social documents that match the term.
  • slugs · array · optionnel
    Pass either `slugs` or `text`, not both. List of slug identifiers (e.g., ["bitcoin"], ["bitcoin", "ethereum"], etc.). Accepts at most 10 slugs at a time. Only metrics that have `supports_many_slugs: true` can accept more than one slug. Check the `supports_many_slugs` field in the metrics_and_assets_discovery_tool response before passing multiple slugs. Financial and on-chain metrics generally support multiple slugs; social, sentiment, and derivatives metrics generally do not. The tool returns data for one metric and one or many slugs.
  • metric · string · requis
    Metric name to fetch (e.g., 'price_usd'). IMPORTANT: Before fetching data, verify metric names by calling the metrics_and_assets_discovery_tool first. Only metrics listed there are supported. Do not guess or infer metric names — they may differ from what you expect.
  • interval · string · optionnel
    The interval between two data points in the timeseries data (e.g., '5m', '1h', '1d'). The format is: <number><suffix>, where: - <number> is an integer - <suffix> is one of: - m (minutes) - h (hours) - d (days) - w (weeks) - y (years) For example, 5m means that the data returned will have a 5 minute interval between two data points. Each metric has predefined `min_interval`. It describes the lowest possible interval for which data is available. If the metric has `min_interval=1d` it means that Santiment has one data point per day for that metric. For these metrics `interval="5m"` won't work as 5 minutes is less than 1 day.
  • time_period · string · optionnel
    How far back in time to fetch the data for (e.g., '7d', '30d', '90d'). This parameter defines the range of metric data to fetch - from <time_period> time ago up until now. Defaults to 30d.

  Exemple d'appel

  {"name": "fetch_metric_data_tool", "arguments": {"metric": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• insight_discovery_tool≈ 853 tokens

  List Santiment insights (analyst-written crypto articles) published in a lookback window. Returns metadata only — id, title, tags, author, link, published_at, prediction — never the article body. ## When to use - The user asks what Santiment analysts have written or published recently. - As step 1 of a two-step read: discover ids here, then pass them to `fetch_insights_tool` for the full text. ## When not to use - Full text of an insight — use `fetch_insights_tool` (it needs ids, so call this tool first). - What the market is talking about right now — use `trending_stories_tool` (stories only) or `combined_trends_tool` (stories + trending words). Insights are human-authored articles, not live social signal. - Numeric metric timeseries for an asset — use `fetch_metric_data_tool`. - Ranking or screening assets by a metric — use `assets_by_metric_tool`. ## Parameters - `time_period` (optional, default `"30d"`) — lookback window as `<integer><unit>`, unit one of `s`, `m`, `h`, `d`, `w`, `y` (e.g. `"12h"`, `"7d"`, `"90d"`, `"1y"`). The window is always `now - time_period` .. `now`; absolute dates and future ranges are not supported. An unparsable value returns an error, not a default. There is no tag, author, asset or full-text filter — filter the returned list yourself. ## Behavior - Read-only: no writes, no state change, nothing destructive. - Requires an authenticated Santiment account (API key or OAuth token); every call counts against the account plan's MCP rate limits. - Returns only published, moderator-approved insights, newest first, hard capped at 100 per call. A wide `time_period` can hit that cap and silently omit the oldest insights — if `total_count` is 100, narrow the window and call again. ## Response JSON object: { "insights": [ { "id": 1234, // integer, feed to fetch_insights_tool "title": "...", "tags": ["BTC", "bitcoin"], // asset tickers/slugs and topics "link": "https://app.santiment.net/insights/read/1234", "published_at": "2025-01-30T10:00:00Z", "author": "username", // "Anonymous" when unset "prediction": "semi_bullish" // heavy_bullish | semi_bullish | // semi_bearish | heavy_bearish | // none | unspecified | null } ], "time_period": "30d", "total_count": 1, "period_start": "2024-12-31T10:00:00Z", "period_end": "2025-01-30T10:00:00Z" } An empty `insights` list with `total_count: 0` means nothing was published in the window — a valid result, not an error.

  Paramètres, retour & exemple (1)

  Paramètres

  • time_period · string · optionnel
    Lookback window as <integer><unit>, unit one of s, m, h, d, w, y (e.g. '12h', '7d', '30d', '90d', '1y'). Insights published in `now - time_period` .. `now` are returned. Absolute dates and future ranges are not supported. Defaults to '30d'.

  Exemple d'appel

  {"name": "insight_discovery_tool", "arguments": {"time_period": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• metrics_and_assets_discovery_tool≈ 1302 tokens

  Catalog lookup: which metrics and which crypto assets (slugs) Santiment supports, and whether a given metric exists for a given asset. Returns names and metadata only — it never returns metric values or timeseries. ## When to use - Resolve a name before any data call: turn "Ethereum" into the slug `ethereum`, or "active addresses" into the metric `daily_active_addresses`. - Check availability before calling `fetch_metric_data_tool`, `assets_by_metric_tool` or `show_chart`, so a bad slug/metric does not waste a data call. - Recover from a "metric/slug not supported" error from any other tool. ## When not to use - Actual metric values over time — use `fetch_metric_data_tool`. - Ranking, filtering or screening assets by a metric value — use `assets_by_metric_tool`. - Rendering a chart — use `show_chart`. - Trending words/stories or insights — use `combined_trends_tool` or `insight_discovery_tool`. Those data sets are not in this catalog. ## Parameters Both parameters are optional and the four combinations do four different things: | Arguments | Returns | |----------------------------|---------------------------------------------------| | `{}` | Every supported metric and every supported asset | | `{"slug": ...}` | All metrics available for that one asset | | `{"metric": ...}` | All assets that support that one metric | | `{"slug":..., "metric":...}`| Whether that exact pair is available (validation) | - `slug` — lowercase, hyphen-separated asset id: `"bitcoin"`, `"ethereum"`, `"avalanche"`. Not a ticker: use `"bitcoin"`, not `"BTC"`. One slug per call; lists are not accepted. - `metric` — lowercase snake_case metric id: `"price_usd"`, `"marketcap_usd"`, `"daily_active_addresses"`. One metric per call. Examples: {} {"slug": "ethereum"} {"metric": "price_usd"} {"slug": "bitcoin", "metric": "daily_active_addresses"} ## Behavior - Read-only: no writes, no state change, nothing destructive. - Requires an authenticated Santiment account (API key or OAuth token); every call counts against the account plan's MCP rate limits. - Results are cached server-side, so the catalog can lag a newly listed asset by a few minutes. - Large responses (notably `{}`, which covers ~500 assets) are truncated to stay under the client token limit. When that happens the response carries `"truncated": true` plus `"truncation_notice"`, and the counts are adjusted to what was actually returned — pass `slug` or `metric` to get a complete answer instead of a truncated one. ## Response Always a JSON object. Its shape depends on the arguments. `{}` — full catalog: { "metrics": [{"name": "price_usd", "description": "...", "unit": "USD", "supports_many_slugs": true, "min_interval": "1m", "default_aggregation": "last", "documentation_urls": [{"url": "..."}]}], "assets": [{"name": "Bitcoin", "slug": "bitcoin", "ticker": "BTC"}], "metrics_count": 120, "assets_count": 500, "description": "..." } `{"slug": ...}` — `{"slug", "metrics" (same metric objects as above), "metrics_count", "description"}`. `{"metric": ...}` — `{"metric", "assets" (same asset objects as above), "assets_count", "description"}`. `{"slug": ..., "metric": ...}` — on success `{"slug", "metric": <metric object>, "available": true, "description"}`. Unsupported input is reported inside a successful response, not as a tool error: an unknown `slug` yields `{"error": "...", "available_assets": [...]}`, an unknown `metric` yields `{"error": "...", "available_metrics": [...]}`. There is no `"available": false` — read `error`. Error messages include a fuzzy suggestion for near-miss metric names (`price_uds` -> `price_usd`), so retry with the suggested name.

  Paramètres, retour & exemple (2)

  Paramètres

  • slug · string · optionnel
    Santiment slug of one crypto asset: lowercase, hyphen-separated, e.g. 'bitcoin', 'ethereum', 'avalanche'. Not a ticker - use 'bitcoin', not 'BTC'. One slug per call; lists are not accepted. Alone: returns all metrics available for this asset. With `metric`: checks only whether that metric exists for this asset. Omit both to list the whole catalog.
  • metric · string · optionnel
    Santiment id of one metric: lowercase snake_case, e.g. 'price_usd', 'marketcap_usd', 'daily_active_addresses'. One metric per call; lists are not accepted. Alone: returns all assets that support this metric. With `slug`: checks only whether this metric exists for that asset. Omit both to list the whole catalog.

  Exemple d'appel

  {"name": "metrics_and_assets_discovery_tool", "arguments": {"slug": "texte", "metric": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• show_chart≈ 486 tokens

  Render a Santiment chart with an asset's price (OHLC) plus an optional overlay metric in a second pane. The widget that consumes this tool is built on the Santiment chart library (lightweight-charts under the hood), so the response is render-ready — the client just feeds each `series` entry into the chart unchanged. ## Parameters - `slug` — asset slug (e.g. `bitcoin`, `ethereum`). Defaults to `bitcoin`. - `primary` — what goes into the main pane. - `"price"` (default) — OHLC candlestick. - any metric name from the catalog — line/area instead of candles. - `overlay` — optional metric name to render in a second pane. Allowed values are listed below. - `range` — `24h`, `7d`, `30d`, `90d`, `1y`. Defaults to `30d`. ## Available overlay metrics (catalog) social_volume_total, social_dominance_total, sentiment_balance_total, sentiment_weighted_total, daily_active_addresses, network_growth, transaction_volume_usd, velocity, mvrv_usd, nvt, realized_value_usd, mvrv_long_short_diff_usd, exchange_balance, whale_transaction_count_100k_usd_to_inf, top_holders_held_supply_percent, dev_activity, github_activity, volume_usd, marketcap_usd, funding_rate_perp.

  Paramètres, retour & exemple (4)

  Paramètres

  • slug · string · optionnel
    Asset slug (e.g. 'bitcoin', 'ethereum'). Defaults to 'bitcoin'.
  • range · string · optionnel
    Time range. One of: 24h, 7d, 30d, 90d, 1y. Defaults to 30d.
  • overlay · string · optionnel
    Optional metric to overlay in a second pane. Must be one of the catalog names (see tool description).
  • primary · string · optionnel
    Primary series — 'price' for candlestick OHLC, or a metric name from the catalog. Defaults to 'price'.

  Exemple d'appel

  {"name": "show_chart", "arguments": {"slug": "texte", "range": "texte", "overlay": "texte", "primary": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• trending_stories_tool≈ 522 tokens

  Fetch current trending crypto stories with sentiment analysis ## When to use vs `combined_trends_tool` Prefer this tool when only stories are needed: it is the cheap, fast path and has no per-tool rate-limit sub-cap. `combined_trends_tool` is a superset — same stories plus trending words, their context and AI-generated bull/bear summaries — but it calls an LLM, so it is slower and capped much lower per plan. Use it only when trending *words* or those summaries are actually needed, and never call both for the same question. ## Parameters - `time_period` - Time period for trending stories (e.g., '1h', '6h', '1d', '7d'). Defaults to '1h' (last hour). - `size` - Number of trending stories to return (max 10). Defaults to 10. ## Response - `trending_stories` - List of trending stories. - `time_period` - Time period for trending stories. - `size` - Number of trending stories to return. - `period_start` - Start time of the time period. - `period_end` - End time of the time period. - `total_time_periods` - Total number of time periods. ## Trending stories - `title` - Title of the story. - `summary` - Summary of the story. - `bearish_sentiment_ratio` - Bearish sentiment ratio. - `bullish_sentiment_ratio` - Bullish sentiment ratio. - `score` - Score of the story. - `query` - Query used to find the story. - `related_tokens` - List of related tokens. They have the format `BTC_bitcoin` - first part is the ticker, second part is the slug in Sanbase.

  Paramètres, retour & exemple (2)

  Paramètres

  • size · integer · optionnel
    Number of trending stories to return (max 10). Defaults to 10.
  • time_period · string · optionnel
    Time period for trending stories (e.g., '1h', '6h', '1d', '7d'). This parameter defines how far back to look for trending stories. Defaults to '1h' (last hour).

  Exemple d'appel

  {"name": "trending_stories_tool", "arguments": {"size": 1, "time_period": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://api.santiment.net/mcp