io.aperiodic/market-data · v1.0.0 · data-and-databases
Aperiodic Market Data is healthy: it completed an MCP handshake in 1439 ms and exposes 8 tools.
Crypto & RWA microstructure, liquidity, flow and raw data via Parquet; live metrics via WebSocket.
Endpoint: https://aperiodic.io/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 8 |
| Latency | 1439 ms |
| Last checked (UTC) | 2026-11-06T21:25:52.698Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-11-06T21:25:52.698Z | Healthy | 1439 |
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_dataset | Field definitions, intervals, exchanges with their start dates, the plan needed and the free preview window for one dataset. |
find_symbols | Symbol ids on one exchange matching every word of the query, at most 50. Ids look like "perpetual-BTC-USDT:USDT". The free preview symbol is perpetual-BTC-USDT:USDT on binance-futures. |
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. Eve |
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 |
live_feed | How your own code connects to the real-time WebSocket feed: its URL, the subscribe frame for a dataset, exchange, interval and symbols, your plan's limits and a Python client. Never the stream itself. 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. |
fetch | The full text of one search result: a dataset with all its fields, a category, or the plans guide. |