Name: Aperiodic Market Data
Author: aperiodic

Aperiodic Market Data MCP

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

Tool-list grade A Remote · Streamable HTTP OAuth 2.1 8 tools v1.0.0

No reviews yet by aperiodic The publisher’s own endpoint — this marketplace is not in the path

96/100

tool-list score

tools declared

remote

at its publisher

—

calls last 7d

What it does

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

Quickstart

# 1 — add it to Claude Code
claude mcp add --scope user --transport http aperiodic-market-data-mcp https://aperiodic.io/mcp

# 2 — ask your agent for something these tools do
#   list_datasets, describe_dataset, find_symbols and 5 more

Aperiodic Market Data costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.

Publishernot claimed

aperiodic1 server

1 category

All 1 server

Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.

Installation

Where are you running it?

Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.

Claude Codedeclared by this listing

This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it. Its publisher asks you to sign in with OAuth: run /mcp in Claude Code and pick this server, and it opens a browser for that once.

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

Reconnect, or start a new session, and the tools appear in the model’s tool list.

Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add — the only sign-in is its publisher’s own, with OAuth.

What it asks of you

Nothing is required, but it can take X-API-KEY header (Optional API key from https://aperiodic.io/home/api, for your plan's data. Leave it out for the free preview, or sign in with OAuth instead.) if you want to set it.

What it writes

One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.

What you approve

8 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.

Tool surface

What the model actually sees. Descriptions are diffed on every release — see version history.

Only tools that write or reach the network

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.

No parameter schema on file.

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

Parameter	Type	Required	Notes
dataset	string	yes	A dataset id from list_datasets, e.g. "flow" or "raw:trades".

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.

Parameter	Type	Required	Notes
exchange	string	yes	—
query	string	no	Words to match, e.g. "BTC USDT" or "ETH perpetual". Empty lists the first 50.

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.

Parameter	Type	Required	Notes
dataset	string	yes	A dataset id from list_datasets: a metrics dataset such as "flow", or a raw one such as "raw:trades".
exchange	string	no	Default binance-futures.
symbol	string	no	Symbol id from find_symbols. Default perpetual-BTC-USDT:USDT.
interval	string	no	Metrics only: bar interval. Default 5m.
timestamp	string	no	Metrics only: 'exchange' uses the exchange-reported timestamp (default), 'true' the arrival time at our servers.
start_date	string	no	YYYY-MM-DD, inclusive. Default: the free preview, 2025-05-01 for metrics, 2025-06-01 for raw.
end_date	string	no	YYYY-MM-DD, inclusive. Default: the end of the free preview month.

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).

Parameter	Type	Required	Notes
dataset	string	yes	A dataset id from list_datasets: a metrics dataset such as "flow", or a raw one such as "raw:trades".
exchange	string	no	Default binance-futures.
symbol	string	no	Symbol id from find_symbols. Default perpetual-BTC-USDT:USDT.
interval	string	no	Metrics only: bar interval. Default 5m.
timestamp	string	no	Metrics only: 'exchange' uses the exchange-reported timestamp (default), 'true' the arrival time at our servers.
start_date	string	no	YYYY-MM-DD, inclusive. Default: the free preview, 2025-05-01 for metrics, 2025-06-01 for raw.
end_date	string	no	YYYY-MM-DD, inclusive. Default: the end of the free preview month.
columns	array	no	Numeric field names from describe_dataset. Default: the first 6.
analysis	string	no	Default "stats".
points	integer	no	resample only: buckets across the range. Default 200.
aggregate	string	no	resample only: how a bucket is reduced. Default "mean".

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.

Parameter	Type	Required	Notes
dataset	string	no	—
exchange	string	no	—
interval	string	no	—
symbols	array	no	Symbol ids. Default perpetual-BTC-USDT:USDT.

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

Parameter	Type	Required	Notes
query	string	yes	—

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

Parameter	Type	Required	Notes
id	string	yes	An id from search.

Free

$0 forever

Every tool — any call limit is its publisher’s, not ours
No card, and mcprush charges nothing for it
Runs at its publisher’s own address — this marketplace is not in the path
Nothing to cap, because mcprush bills nothing

Nothing here is billable: mcprush charges nothing to install Aperiodic Market Data or to call it, at any volume.

ATool-list grade · score 96 / 100

Release 1.0.0 · scanned 7 Nov 2026

Graded from the tools this server lists, not from its source code.

Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.

Threat score100

Client score96

Findings0 threat · 0 capability

Capabilityminimal

Coveragemanifest

Verificationnot in this report

Surface digestc90eb6abe9701494ef092885e52e6b26a72c25f801b3a94083b448d5e5ee2761

Score vectorthreat 100 → client 96

Term	Level	What it prices	Points
capability-exposure	minimal	capability blast radius (minimal) — client exposure if the model is manipulated	−0
coverage-honesty	manifest	inspection depth (manifest) — how much of the target the scan could see	−4

score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.

What the scan could actually read

A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.

The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.

Tool surfaceread

Implementation sourcenot available

Package metadatanot available

Live transportnot available

The implementation source was not read — this reflects the declared tool metadata only.

Capability — what it could do if the model were manipulated

Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.

Tool	Capability tags	Why the tag was assigned
list_datasets	no tags
describe_dataset	no tags
find_symbols	no tags
get_data	no tags
summarize	no tags
live_feed	no tags
search	untrusted-input	untrusted-input: keyword "fetch"
fetch	untrusted-input	untrusted-input: keyword "fetch"

Toxic-flow graph

The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.

The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.

Supply chain and provenance

Integrityfirst-seen

Surface digestc90eb6abe9701494

Scanned2026-11-07

This is the first scan of this surface here, so there is nothing yet to compare it against.

Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.