list_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.
無需輸入參數。
io.aperiodic由 aperiodic.io 發布官方發布者v1.0.0更新於 Nov 7, 2026
Crypto & RWA microstructure, liquidity, flow and raw data via Parquet; live metrics via WebSocket.
Aperiodic Market Data 為助理提供加密與 RWA 永續合約的市場微結構、流動性、資金流與原始資料的控制面,資料以 Parquet 形式提供。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.aperiodic%2Fmarket-data/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"aperiodic-market-data": {
"type": "http",
"url": "https://aperiodic.io/mcp"
}
}
}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.
無需輸入參數。
Describe a dataset
Field definitions, intervals, exchanges with their start dates, the plan needed and the free preview window for one dataset.
dataset必填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.
queryexchange必填Get a data handle
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.
symboldataset必填end_dateexchangeintervaltimestampstart_dateSummarize a slice
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).
pointssymbolcolumnsdataset必填analysisend_dateexchangeintervalaggregatetimestampstart_dateConnect to the 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.
datasetsymbolsexchangeintervalSearch the catalog
Keyword search over every dataset, its fields, the categories and the plans guide. Returns ids, titles and URLs; read one with fetch.
query必填Fetch a catalog document
The full text of one search result: a dataset with all its fields, a category, or the plans guide.
id必填已滿足適用檢查項的 83%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。
託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。