AgentData

AgentData provides a platform that aggregates company data for AI agents and growth teams, showing what a company does, the tools it runs, how to reach it, and recent changes. Built by Nick and Duda Timms in the UK, the service offers live data, pricing information, documentation, and APIs, with a focus on transparency and data quality.

AgentData is listed with 2 APIs on the APIs.io network. Tagged areas include Company.

The AgentData catalog on APIs.io includes 1 Spectral governance ruleset.

AgentData’s developer surface includes documentation, pricing, signup flow, engineering blog, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

24.6/100 emerging ▼ -6.2 Agent 33/100 agent ready Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

2 APIs

Company

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 24.6/100 · emerging

Contract Quality 2.7 / 21

Developer Ergonomics 2.2 / 17

Access Clarity 9.2 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 3.8 / 9

Regulatory Posture 3.1 / 15

Agent readiness — 33/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 12.9 — up to +21.8 composite points
Developer Ergonomics scores 13.1 — up to +17.4 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/agentdata-run/apis.yml: open an issue on github.com/api-evangelist/agentdata-run to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

AgentData API

REST API providing company data for AI agents, including company profiles, tools, and contacts.

AgentData API

AgentData API as documented publicly: 11 operations. Contract generated from the documentation by API Evangelist (2026-11-01); not the provider's own document.

AgentData API pricing

Prices published by AgentData, read 2026-11-01 from useagentdata.com/pricing.

Plan	Price
Pro	$99 a month billed monthly
Business	$299 a month billed monthly
Enterprise	Custom priced on volume

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Agentdata Run Plans Pricing

3 plans

PLANS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

AgentData API Rules

12 rules · 10 errors 1 warnings 1 info

SPECTRAL

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Agentdata Run Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Spectral

Spectral

Vocabulary

Vocabulary

Conformance

Conformance

Build 2

SDKs, sample code, and the tooling you integrate with

SDKs

SDKs

Packages

Packages

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

PrivacyPolicy

TermsOfService

Company 3

The organization behind the API

Website

Website

About

About

Blog

Blog

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: agentdata-run
name: AgentData
description: AgentData provides a platform that aggregates company data for AI agents and growth teams, showing what a company
  does, the tools it runs, how to reach it, and recent changes. Built by Nick and Duda Timms in the UK, the service offers
  live data, pricing information, documentation, and APIs, with a focus on transparency and data quality.
url: https://artifacts.apis.io/agentdata-run/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  probe_state: unreadable
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.20'
created: '2026-10-31'
modified: '2026-10-31'
tags:
- Company
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/agentdata-run-plans-pricing.yml
- type: Spectral
  url: rules/agentdata-run-rules.yml
- type: Vocabulary
  url: vocabulary/agentdata-run-vocabulary.yml
- type: Conformance
  url: conformance/agentdata-run-conformance.yml
- type: LLMsTxt
  url: llms/agentdata-run-llms.txt
- type: WellKnown
  url: well-known/agentdata-run-well-known.yml
- type: Hosts
  url: hosts/agentdata-run-hosts.yml
- type: Vendors
  url: vendors/agentdata-run-vendors.yml
- type: SDKs
  url: packages/agentdata-run-packages.yml
- type: Packages
  url: packages/agentdata-run-packages.yml
- type: DomainSecurity
  url: security/agentdata-run-domain-security.yml
- type: Website
  url: https://agentdata.run/
- type: Documentation
  url: https://useagentdata.com/docs
- type: Pricing
  url: https://useagentdata.com/pricing
- type: SignUp
  url: https://useagentdata.com/signup
- type: About
  url: https://useagentdata.com/about
- type: Blog
  url: https://useagentdata.com/blog
- type: PrivacyPolicy
  url: https://useagentdata.com/legal/privacy
- type: TermsOfService
  url: https://useagentdata.com/legal/terms
apis:
- name: AgentData API
  description: REST API providing company data for AI agents, including company profiles, tools, and contacts.
  humanURL: https://useagentdata.com/docs
  aid: agentdata-run:agentdata-api
- aid: agentdata-run:agentdata-run-api
  name: AgentData API
  description: 'AgentData API as documented publicly: 11 operations. Contract generated from the documentation by API Evangelist
    (2026-11-01);

    not the provider''s own document.'
  humanURL: https://useagentdata.com/docs
  baseURL: https://agentdata.run
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/agentdata-run-openapi-generated.yml
    x-provenance: generated
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  method: derived
  generated: '2026-11-01'
  generator: derive-coverage.py (pre-flight evidence)
  detail: the company publishes developer documentation but serves no machine-readable contract from it
  evidence:
  - url: https://agentdata.run/
    status: 200
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 17
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

AgentData API — frequently asked questions

Does AgentData have an API?

Yes. APIs.io lists 2 APIs from AgentData, including AgentData API and AgentData API.

Is there an OpenAPI specification for the AgentData API?

Yes. APIs.io indexes 1 OpenAPI specification for AgentData, each linked for download from this page.

How much does the AgentData API cost?

AgentData publishes its prices; its Pro plan is $99 a month billed monthly as of 2026-11-01. APIs.io lists 3 pricing plans for AgentData, with each plan's price, limits and inclusions under Pricing on this page.

Is the AgentData API ready for AI agents?

AgentData has a Kin Score of 24.6 out of 100 (emerging) and an Agent Readiness score of 33.1 (agent-ready), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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