Aperiodic Market Data MCP Server

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answering

Aperiodic Market Data is answering right now. Last checked 6 min ago. It exposes 8 tools.

Crypto & RWA microstructure, liquidity, flow and raw data via Parquet; live metrics via WebSocket.

Uptime history 32 hours of history

32 hours agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

113 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 3

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 7 November 2026. No other catalogue keeps this.

7 Nov 2 tool descriptions were rewritten find_symbols, live_feed

7 Nov a tool changed the parameters it asks for find_symbols

Nothing serious here today

Today is the operative word: we check Aperiodic Market Data every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add market-data --transport http https://aperiodic.io/mcp

Settings → Connectors → Add custom connector, then paste this address

https://aperiodic.io/mcp

~/.codex/config.toml

[mcp_servers.market-data]
url = "https://aperiodic.io/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "market-data": {
      "url": "https://aperiodic.io/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "market-data": {
      "type": "http",
      "url": "https://aperiodic.io/mcp"
    }
  }
}

Available tools 8

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

data

get_data

A handle to one slice of a dataset, not the data: signed Parquet URLs (valid one hour), schema, row counts, per-column min/max/nulls from the Parquet footers, 5 sample rows and a Polars snippet. Load the files in your own code; never paste them into the conversation. Without code, use summarize. Every argument but dataset defaults to the free preview, which needs no API key.

datasets

list_datasets

Every Aperiodic dataset, metrics and raw: id, category, the plan that unlocks it, a one-line description, field count, and whether this caller gets full access or the free preview. Start here.

describe

describe_dataset

Field definitions, intervals, exchanges with their start dates, the plan needed and the free preview window for one dataset.

fetch

fetch

The full text of one search result: a dataset with all its fields, a category, or the plans guide.

live

live_feed

How your own code connects to the real-time WebSocket feed of metrics datasets (raw data is not streamed): its URL, the subscribe frame for a dataset, exchange, interval and symbols, your plan's limits and a Python client. Never the stream itself, which your code consumes outside MCP. The stream authenticates with an API key in X-API-KEY, not an MCP OAuth sign-in. With no dataset, lists what streams and which plans include it.

search

Keyword search over every dataset, its fields, the categories and the plans guide. Returns ids, titles and URLs; read one with fetch.

summarize

summarize

Statistics worked out on our side, for when you can't run code: per-column count, mean, std, quantiles and range ("stats"), a correlation matrix ("correlation"), or the series resampled to at most 500 points ("resample"). Same slice arguments and plan rules as get_data. Decodes only the columns you name (up to 12, numeric; default the first 6).

symbols

find_symbols

Symbol ids on one exchange matching every word of the query, at most 50: crypto and RWA perpetuals alike. Ids look like "perpetual-BTC-USDT:USDT", "perpetual-TSLA-USDT:USDT" for a tokenized stock on Binance, or "perpetual-XYZ:TSLA-USDC:USDC" for a Hyperliquid HIP-3 market (dex before the colon). Matching is on the id, so search by ticker (e.g. "TSLA"), not by company name. The free preview symbol is perpetual-BTC-USDT:USDT on binance-futures.

Endpoints

URL	Transport	State	Latency	Checked
https://aperiodic.io/mcp	streamable-http	answering	192 ms	6 min ago

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Aperiodic Market Data — questions

Answers built from our own checks of this server.

What can Aperiodic Market Data do?

It exposes 8 tools, read directly from the server on our last check. Among them: describe_dataset, fetch, find_symbols, get_data, list_datasets, live_feed and 2 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 Aperiodic Market 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 113 ms. The bar chart above shows every period we have measured.

How do I connect Aperiodic Market Data?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Aperiodic Market Data need an API key?

No. Aperiodic Market Data completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Aperiodic Market Data?

It answers our handshake in 113 ms on average, which is faster than 91% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.