tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: search_datapoints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); request_data (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_request_status (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 2,091 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump
stability75 · weight 15
warn
stability.changes7 tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvabledeps.dev does not know [email protected]
12 tools, about 2,091 tokens to load them all · tool set 95350d6cebab · tools last changed 2026-10-25 · checked 2026-11-07 16:55 UTC
Tool changes
get_application_statusadded
Check the status of a provider application created with apply_as_provider.
apply_as_provideradded
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.
request_serviceadded
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.
get_serviceadded
Get full details of one service: price, unit, turnaround and deliverable format.
search_servicesadded
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).
get_request_statuschangeddescription
before
Check the status of a request created with request_data.
after · 82% of words in common
Check the status of a request created with request_data or request_service.
search_sellerschangeddescription, input schema
before
Search data sellers by keywords and/or category. verified=True for verified providers only.
after · 59% of words in common
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.
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
Dependencies
[email protected]PyPIthis version is not known to the dependency resolver
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
Endpoints
remote
auth
reachable
uptime 30d
p50
protocol
last ok
https://dlfyresearch.com/mcpstreamable-http
none
yes
100%
386 ms
2026-07-28
2026-11-07
package
registry
version
runtime
secrets
agent-marketplace-mcp
pypi
0.2.0
uvx
Tools (12)
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.
get_application_status
Check the status of a provider application created with apply_as_provider.
get_datapoint
Get full details of one data point by id.
get_request_status
Check the status of a request created with request_data or request_service.
get_seller
Get a seller's profile and all data points it offers.
get_service
Get full details of one service: price, unit, turnaround and deliverable format.
list_categories
List data categories available in the marketplace, with data point counts.
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.
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).
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.
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).