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Anansi Data MCP Server

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Anansi Data is answering right now. Last checked 9 min ago. It exposes 12 tools.

Time-series nobody else archives: LLM price history, prediction markets, gas, perp funding.

Uptime history 34 days of history · worst day 98%
34 days agonow
100.0%
Uptime 24h
91 of 91 checks
12
Tools
read from the server
574 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 25

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 20 August 2026. No other catalogue keeps this.

20 Aug 12 tools appeared anansi_anomalies, anansi_data_changes, anansi_data_history and 9 more
20 Aug 12 tools disappeared data_changes, data_history, data_latest and 9 more
20 Aug a tool changed version

Tools have disappeared from this server

A tool that vanishes takes a piece of your agent with it, and the change arrives silently. Watch this server and every such change lands in your inbox.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

run in your terminal
claude mcp add anansi-data --transport http https://anansidata.xyz/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "anansi-data": {
      "url": "https://anansidata.xyz/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.anansi-data]
url = "https://anansidata.xyz/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "anansi-data": {
      "url": "https://anansidata.xyz/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "anansi-data": {
      "url": "https://anansidata.xyz/mcp"
    }
  }
}

Available tools 12

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

anansi
anansi_anomalies
PAID ($0.05 via x402). Statistical outliers: keys whose latest move breaks their OWN historical baseline, returned with a z-score. Use it to separate a genuinely abnormal move from ordinary volatility. Do NOT use it to rank raw speed (anansi_movers) and treat results cautiously on a young dataset, where a short baseline inflates z-scores. Input: z_threshold defaults to 3.0.
anansi_data_changes
PAID ($0.02 via x402). Field-level diffs across a whole dataset: for each key that changed, which field moved, its from and to values, and when. Use it to detect movement across many keys without pulling every series. Do NOT use it for LLM prices specifically — anansi_price_changes_recent is free and anansi_price_changes is the full version. Input: since is a unix timestamp; omit for the whole archive.
anansi_data_history
PAID ($0.02 via x402). The full recorded time-series for ONE key in one dataset, oldest to newest, each row carrying its observation timestamp. Use it to chart or backtest a single series. Do NOT use it to compare many keys at once (anansi_data_latest returns them all for one moment) and do NOT expect history predating our first observation — the archive is days old and depth varies by dataset. Inputs: dataset and key exactly as returned by anansi_search; since is a unix timestamp.
anansi_data_latest
PAID ($0.005 via x402). Current state of every tracked key in one dataset, as recorded at our last poll, with provenance naming the source and licence. Use it for the newest snapshot of a whole dataset — prediction-market probabilities, gas by chain, perp funding, stablecoin pegs. Do NOT use it for LLM prices (anansi_price_current is free) and do NOT use it for change-over-time (anansi_data_changes). Input: dataset must be an exact name from anansi_search; key optionally narrows to one row.
anansi_data_search
PAID ($0.01 via x402). Full-text search across the CURRENT state of every sellable dataset at once, returning matching rows with their dataset name. Use it when you do not know which dataset holds a value. Do NOT use it to resolve a name to an identifier — anansi_search does that free — and note it searches current state only, not history. Input: q is a phrase match.
anansi_movers
PAID ($0.03 via x402). Velocity ranking: which keys in a dataset moved fastest on one numeric field over a window, returned as rate of change with the underlying from/to values. Use it to find what is moving without reading every series. Do NOT use it to judge whether a move is unusual for that key — that is anansi_anomalies. Inputs: field must be a numeric field present in the dataset; window_s is seconds.
anansi_price_advisor
PAID ($0.05 via x402). Answers 'which model should I route to' in one call: returns the cheapest models satisfying hard constraints on price, context window and modality, ranked by prompt price ascending, PLUS every price change and deprecation affecting those candidates in the window. Use it when choosing or re-validating a routing target. Do NOT use it merely to look up one model's price (anansi_price_current, free). Inputs: max_prompt_price in USD per token (e.g. 0.000001); min_context in tokens; modality is a substring of the modality string such as 'text' or 'image'.
anansi_price_changes
PAID ($0.03 via x402). The COMPLETE observed price-change history for every tracked LLM, with no time window and no row cap: model, field, from/to in USD per token, percent move, and detection timestamp. Use it to audit a provider's pricing behaviour over the whole archive or to feed a cost model. Do NOT use it for a quick 'did anything change lately' check — anansi_price_changes_recent answers that free. Input: since is a unix timestamp; omit it for everything we hold.
anansi_price_changes_recent
FREE. LLM price changes we observed in the last 7 days: per model, which field moved (prompt, completion, cache_read), the from/to values in USD per token, the percentage move, and the unix timestamp we detected it. Providers publish only their current catalogue and overwrite it silently, so this record exists nowhere upstream. Use it to detect that a model you depend on got cheaper, dearer, or vanished. Do NOT use it for windows longer than 7 days or more than 25 rows — it is capped; use anansi_price_changes (paid) for the full unwindowed history. Input: days is clamped to 7.
anansi_price_current
FREE. Current per-token prices for LLMs as recorded at our last poll: usd_per_prompt_token and usd_per_completion_token (USD per single token, not per million), context window in tokens, and the observation timestamp (unix seconds). Use this to check what a model costs right now, or to compare a handful of models before routing. Do NOT use it to see how a price MOVED — it returns only the latest observation; use anansi_price_changes_recent (free) or anansi_price_history (paid). Input: model_id is a substring match, so 'gpt-5' matches every gpt-5 variant; resolve exact IDs with anansi_search.
anansi_search
FREE. Resolves a partial name into exact model IDs and dataset names you can pass to the other tools; returns two string arrays (models, datasets), capped at 25 each. Use this FIRST whenever you have a fuzzy name like 'deepseek' or 'gas' and need the canonical identifier. Do NOT use it to retrieve values or search inside records — it matches names only; use anansi_price_current for prices or anansi_data_search (paid) to search every field of every dataset. Input: q is a case-insensitive substring.
anansi_verdict
PAID ($0.04 via x402). One-call composite for a single key: its latest value, its velocity, its rank against peers in the same dataset, and its anomaly z-score — the answer four separate calls would give. Use it when you have one specific key and want a verdict rather than raw series. Do NOT use it to survey many keys (anansi_movers) or to fetch a full series (anansi_data_history). Inputs: dataset, key and a numeric field, all exactly as named in the dataset.

Tools removed

Tools this server used to expose. Anything built against them stopped working on the day they went.

data_changes
removed 20 Aug 2026
data_history
removed 20 Aug 2026
data_latest
removed 20 Aug 2026
data_search
removed 20 Aug 2026
how_to_pay
removed 20 Aug 2026
intel_anomalies
removed 20 Aug 2026
intel_movers
removed 20 Aug 2026
intel_verdict
removed 20 Aug 2026
list_datasets
removed 20 Aug 2026
list_offerings
removed 20 Aug 2026
model_advisor
removed 20 Aug 2026
model_changes
removed 20 Aug 2026

Endpoints

URLTransportStateLatencyChecked
https://anansidata.xyz/mcp streamable-http answering 697 ms 9 min ago

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Anansi Data — questions

Answers built from our own checks of this server.

What can Anansi Data do?
It exposes 12 tools, read directly from the server on our last check. Among them: anansi_anomalies, anansi_data_changes, anansi_data_history, anansi_data_latest, anansi_data_search, anansi_movers and 6 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Anansi Data working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 574 ms. The bar chart above shows every period we have measured.
Did Anansi Data ever remove tools?
Yes. data_changes, data_history, data_latest, data_search and 8 more are no longer exposed — we recorded the date each one disappeared. A tool vanishing usually means a breaking change for anything that depended on it.
How do I connect Anansi Data?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Anansi Data need an API key?
No. Anansi Data completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 12 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Anansi Data?
It answers our handshake in 574 ms on average, which is faster than 25% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.