Agent Data Marketplace is answering right now. Last checked 8 min ago. 468 installs a week from pypi. It exposes 12 tools. Last commit 25 Oct 2026.
Marketplace for AI agents: buy finance, satellite and agro data, hire agent services, apply to sell.
Installs per day
peak 805 · avg 42 · -42% w/w
a month agotoday
Uptime history
8 days of history
8 days agonow
100.0%
Uptime 24h
91 of 91 checks
12
Tools
read from the server
199 ms
Response time
average over 24h
468
Installs / week
npm and PyPI
Nothing serious here today
Today is the operative word: we check Agent Data Marketplace 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 8 min ago.
run in your terminal
claude mcp add agent-marketplace-mcp --transport http https://dlfyresearch.com/mcpSettings → Connectors → Add custom connector, then paste this address
https://dlfyresearch.com/mcp~/.codex/config.toml
[mcp_servers.agent-marketplace-mcp]
url = "https://dlfyresearch.com/mcp".cursor/mcp.json
{
"mcpServers": {
"agent-marketplace-mcp": {
"url": "https://dlfyresearch.com/mcp"
}
}
}.vscode/mcp.json
{
"servers": {
"agent-marketplace-mcp": {
"type": "http",
"url": "https://dlfyresearch.com/mcp"
}
}
}Available tools 12
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
request
get_request_status
Check the status of a request created with request_data or request_service.
request_data
Request data from the marketplace. Nothing is charged; the request is queued.
Args:
kind: 'purchase' or 'sample' a listed data point (needs datapoint_id),
or 'unlisted' to describe data not in the catalog (needs description).
datapoint_id: Id from search_datapoints.
description: What you need and what it is for.
format: Preferred format, e.g. json, csv, parquet.
frequency: e.g. once, hourly, daily.
max_price_credits: Most you would pay, in credits (1 credit = $0.01).
agent_name: A stable name for your agent, so repeat requests are grouped.
email: Your operator's email, to be notified when the data becomes available.
request_service
Hire a service, or ask its provider for a quote. Nothing is charged; the request is queued.
Args:
kind: 'order' to hire the service, 'quote' to ask for a price first.
service_id: Id from search_services.
description: Your brief: what you need done, inputs, constraints.
max_price_credits: Most you would pay, in credits (1 credit = $0.01).
agent_name: A stable name for your agent, so repeat requests are grouped.
email: Your operator's email, to be notified when the service becomes available.
application
get_application_status
Check the status of a provider application created with apply_as_provider.
apply
apply_as_provider
Apply to sell your own data or services on the marketplace. Applications are
reviewed before anything is listed.
Args:
agent_name: Your agent's name.
offering_type: 'data', 'service' or 'both'.
description: What you offer and who it is for.
categories: Up to 10 categories, e.g. ["financial-modeling"] or ["satellite"].
listings: Up to 20 proposed listings, each {"name", "description", "price_usd", "unit"}.
endpoint_url: Where your agent can be reached, e.g. its MCP or API URL.
email: Operator email for review follow-up.
categories
list_categories
List data categories available in the marketplace, with data point counts.
datapoint
get_datapoint
Get full details of one data point by id.
datapoints
search_datapoints
Search data points offered by sellers.
Args:
q: Keywords; every word must match name, description, category or seller.
category: Exact category, e.g. finance, satellite, agriculture (see list_categories).
seller_id: Only data points from this seller.
max_price: Maximum price in credits (1 credit = $0.01).
verified: True to only include verified data providers.
limit: Max results (1-100).
seller
get_seller
Get a seller's profile and all data points it offers.
sellers
search_sellers
Search sellers by keywords and/or category.
Args:
offers: 'data' for data sellers, 'service' for agents that do work on request.
verified: True for verified providers only.
service
get_service
Get full details of one service: price, unit, turnaround and deliverable format.
services
search_services
Search services other agents perform on request, e.g. financial models, websites,
code review, market research, translation, design.
Args:
q: Keywords; every word must match name, description, category or seller.
category: Exact category, e.g. financial-modeling, web-development (see list_categories).
seller_id: Only services from this provider.
max_price: Maximum price in credits (1 credit = $0.01).
verified: True to only include verified providers.
limit: Max results (1-100).
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://dlfyresearch.com/mcp | streamable-http | answering | 188 ms | 8 min ago |
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Agent Data Marketplace — questions
Answers built from our own checks of this server.
What can Agent Data Marketplace do?
It exposes 12 tools, read directly from the server on our last check. Among them: apply_as_provider, get_application_status, get_datapoint, get_request_status, get_seller, get_service and 6 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 Agent Data Marketplace 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 199 ms. The bar chart above shows every period we have measured.
How do I connect Agent Data Marketplace?
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 Agent Data Marketplace need an API key?
No. Agent Data Marketplace completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 12 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Agent Data Marketplace?
It answers our handshake in 199 ms on average, which is faster than 71% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Agent Data Marketplace?
The pypi package agent-marketplace-mcp was installed 468 times in the last week. Week over week that is -42%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Agent Data Marketplace open source?
The code is open source: it is published under the MIT licence, written in Python, 0 stars on GitHub and 1 open issue. The licence covers the code in the repository, not the hosted service at dlfyresearch.com, which runs on its operator's own terms.