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.
无需输入参数。
io.aperiodic由 aperiodic.io 发布官方发布者v1.0.0更新于 Nov 7, 2026
Crypto & RWA microstructure, liquidity, flow and raw data via Parquet; live metrics via WebSocket.
Aperiodic Market Data 为助手提供加密与 RWA 永续合约的市场微观结构、流动性、资金流与原始数据的控制面,数据以 Parquet 形式提供。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.aperiodic%2Fmarket-data/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。把它添加到你客户端的 mcpServers 配置中。
{
"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.
无需输入参数。
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必填已满足适用检查项的 83%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
请声明包含 README 的 GitHub 仓库,或在 OAuth 受保护资源元数据中提供 resource_documentation。
托管服务按其提供方的条款使用,因此这里不要求许可证。此检查项不计入百分比。