AgentCat

AgentCat provides analytics and observability for Claude connectors and ChatGPT applications. It offers session tracing, intent detection, and issue identification for AI agents, helping developers debug, monitor, and improve agent performance. Trusted by fast‑growing AI companies, AgentCat aims to enhance the agent experience through detailed session replay, tool‑call insights, and comprehensive dashboards.

AgentCat is listed with 2 APIs on the APIs.io network. Tagged areas include Artificial Intelligence, Analytics, Observability, Agent Experience, and Company.

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

AgentCat’s developer surface includes getting-started guide, documentation, pricing, engineering blog, and 17 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

37.5/100 thin Agent 38/100 agent ready Full breakdown ↓
scored 2026-11-01 · rubric v0.26.0 · Show this score on your site →

2 APIs

Artificial Intelligence Analytics Observability Agent Experience Company

Kin Score

Kin Score How this is scored →
scored 2026-11-01 · rubric v0.26.0

Composite quality — 37.5/100 · thin

Contract Quality 2.3 / 21

Developer Ergonomics 5.1 / 17

Access Clarity 12.1 / 17

Operational Transparency 2.3 / 11

Contract Governance 3.6 / 10

Discoverability 4.9 / 9

Regulatory Posture 4.1 / 15

Agent readiness — 38/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 5 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 8 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 0 / 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):

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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

6 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 10.7 — up to +22.3 composite points
Developer Ergonomics scores 30.2 — up to +14.0 composite points
Operational Transparency scores 21.1 — up to +10.3 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/agentcat-com/apis.yml: open an issue on github.com/api-evangelist/agentcat-com 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 3

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.

Agent2Agent

measured — observed by APIs.io (conformant)

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

APIs 2

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

AgentCat API

AgentCat API provides analytics and observability endpoints for Claude and ChatGPT agents. Documentation is at https://docs.agentcat.com.

AgentCat API

AgentCat API as documented publicly: 1 operations. Contract generated from the documentation by API Evangelist (2026-11-01); not the provider's own document.

Pricing Plans 1

Published pricing tiers and plan structures.

Agentcat Com Plans Pricing

4 plans

PLANS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

AgentCat API Rules

9 rules · 7 errors 1 warnings 1 info

SPECTRAL

Security Posture 1

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

Agentcat Com Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Spectral

Spectral

Vocabulary

Vocabulary

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

StatusPage

StatusPage

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

PrivacyPolicy

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: agentcat-com
name: AgentCat
image: https://agentcat.com/opengraph-image.png?1aedaa36f1c06f32
description: AgentCat provides analytics and observability for Claude connectors and ChatGPT applications. It offers session
  tracing, intent detection, and issue identification for AI agents, helping developers debug, monitor, and improve agent
  performance. Trusted by fast‑growing AI companies, AgentCat aims to enhance the agent experience through detailed session
  replay, tool‑call insights, and comprehensive dashboards.
url: https://artifacts.apis.io/agentcat-com/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)
specificationVersion: '0.20'
created: '2026-10-31'
modified: '2026-10-31'
tags:
- Artificial Intelligence
- Analytics
- Observability
- Agent Experience
- Company
tags_raw:
- AI
- Analytics
- Observability
- AgentExperience
- Company
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/agentcat-com-plans-pricing.yml
- type: Spectral
  url: rules/agentcat-com-rules.yml
- type: Vocabulary
  url: vocabulary/agentcat-com-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Conformance
  url: conformance/agentcat-com-conformance.yml
- type: LLMsTxt
  url: llms/agentcat-com-llms.txt
- type: AgentCard
  url: a2a/agentcat-com-a2a.yml
- type: WellKnown
  url: well-known/agentcat-com-well-known.yml
- type: Hosts
  url: hosts/agentcat-com-hosts.yml
- type: Vendors
  url: vendors/agentcat-com-vendors.yml
- type: TrustCenter
  url: https://trust.agentcat.com/
- type: GitHubOrganization
  url: https://github.com/agentcathq
- type: GettingStarted
  url: https://docs.agentcat.com/quickstart
- type: DomainSecurity
  url: security/agentcat-com-domain-security.yml
- type: Website
  url: https://agentcat.com/
- type: Documentation
  url: https://docs.agentcat.com/
- type: Pricing
  url: https://agentcat.com/pricing/
- type: Blog
  url: https://agentcat.com/blog/
- type: PrivacyPolicy
  url: https://agentcat.com/privacy/
- type: TermsOfService
  url: https://agentcat.com/terms/
- type: StatusPage
  url: https://status.agentcat.com
apis:
- name: AgentCat API
  description: AgentCat API provides analytics and observability endpoints for Claude and ChatGPT agents. Documentation is
    at https://docs.agentcat.com.
  humanURL: https://docs.agentcat.com
  baseURL: null
  aid: agentcat-com:agentcat-api
- aid: agentcat-com:agentcat-com-api
  name: AgentCat API
  description: 'AgentCat API as documented publicly: 1 operations. Contract generated from the documentation by API Evangelist
    (2026-11-01); not

    the provider''s own document.'
  humanURL: https://docs.agentcat.com/sdk/php/laravel
  baseURL: https://api.agentcat.com
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/agentcat-com-openapi-generated.yml
    x-provenance: generated
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: Docs site returns a JavaScript shell, no machine‑readable spec found.
  evidence:
  - url: https://docs.agentcat.com
    status: 200
  checked: '2026-11-01'
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 27
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

AgentCat API — frequently asked questions

Does AgentCat have an API?

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

Is there an OpenAPI specification for the AgentCat API?

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

How much does the AgentCat API cost?

APIs.io lists 4 pricing plans for AgentCat, with each plan's price, limits and inclusions under Pricing Plans on this page.

Is the AgentCat API ready for AI agents?

AgentCat has a Kin Score of 37.5 out of 100 (thin) and an Agent Readiness score of 38.0 (agent-ready), scored by API Evangelist on 2026-11-01.

Work with this as data

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

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

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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.
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