team0-ai

Team0 builds a brain for a company’s AI agents: one for each person and one for the company, kept current from the work itself and installed in the company’s own cloud. It gives every employee a brain and one to the company, learns from meetings, tools and AI chats, and keeps decisions, promises and changes current for every agent your team uses, in your cloud or ours.

team0-ai publishes 1 API contract indexed on the APIs.io network. Tagged areas include Company, AI, Enterprise, KnowledgeManagement, and Automation.

The team0-ai catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

team0-ai’s developer surface includes authentication, engineering blog, API reference, support, pricing, documentation, getting-started guide, and 20 more developer resources.

🌐 Visit website📡 Profile data on GitHub
39.0/100 thin Agent 24/100 agent aware Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →
1 published contract
CompanyAIEnterpriseKnowledgeManagementAutomation

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0
Composite quality — 39.0/100 · thin
Contract Quality 4.4 / 21
Developer Ergonomics 9.2 / 17
Access Clarity 6.7 / 17
Operational Transparency 1.2 / 11
Contract Governance 3.4 / 10
Discoverability 5.6 / 9
Regulatory Posture 5.5 / 15
Agent readiness — 24/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 9 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 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 0 / 6
Agentic Commerce Well-Known Document 0 / 5
Pagination 5 / 5
Distinct Operations 3 / 3
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):
  • Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
  • 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
  • A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
  • 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):
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/team0-ai/apis.yml: open an issue on github.com/api-evangelist/team0-ai 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 →

APIs 1

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

Team0 External API

Connect any MCP agent to Team0 at api.team0.ai/v1/mcp, or read the same understanding from your product over HTTP. Per-agent access, scoped reads.

Pricing Plans 1

Published pricing tiers and plan structures.

Team0 Ai Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Team0 Ai Rate Limits

0 limits

RATE LIMITS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Team0 Ai Context

85 classes · 228 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

team0-ai API Rules

11 rules · 10 errors 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Team0 Ai Openapi Overlay

0 actions · update

UNRECORDED

Security Posture 2

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

Team0 Ai Authentication

2 schemes

SECURITY

Team0 Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Team0 Ai Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted
GettingStarted

Documentation 2

Reference material describing how the API behaves

APIReference
APIReference
 Documentation
Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgentSkill
AgentSkill
 LLMsTxt
LLMsTxt
 WellKnown
WellKnown

Design & Contract 8

Pagination, idempotency, versioning, errors, and events

Spectral
Spectral
 JSONLD
JSONLD
 Vocabulary
Vocabulary
 DataModel
DataModel
 Idempotency
Idempotency
 Conventions
Conventions
 ErrorCatalog
ErrorCatalog
 Conformance
Conformance

Scroll for all 8

Access & Security 5

Authentication, authorization, and security posture

Authentication
Authentication
 OAuthScopes
OAuthScopes
 TrustCenter
TrustCenter
 Security
Security
 DomainSecurity
DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support
Support

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy
 Pricing
Pricing

Company 2

The organization behind the API

Blog
Blog
 Website
Website

Other 2

Properties that don't map to a standard resource type

Hosts
Hosts
 Vendors
Vendors

Source (apis.yml)

apis.yml Raw ↑ 
aid: team0-ai
name: team0-ai
description: 'Team0 builds a brain for a company’s AI agents: one for each person and one for the company, kept current from
  the work itself and installed in the company’s own cloud. It gives every employee a brain and one to the company, learns
  from meetings, tools and AI chats, and keeps decisions, promises and changes current for every agent your team uses, in
  your cloud or ours.'
url: https://artifacts.apis.io/team0-ai/apis.yml
image: https://team0.ai/logo/logo_color.png
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-30 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Company
- AI
- Enterprise
- KnowledgeManagement
- Automation
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/team0-ai-rules.yml
- type: JSONLD
  url: json-ld/team0-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/team0-ai-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/team0-ai-data-model.yml
- type: Idempotency
  url: conventions/team0-ai-conventions.yml
- type: Conventions
  url: conventions/team0-ai-conventions.yml
- type: Authentication
  url: authentication/team0-ai-authentication.yml
- type: OAuthScopes
  url: scopes/team0-ai-scopes.yml
- type: ErrorCatalog
  url: errors/team0-ai-problem-types.yml
- type: Conformance
  url: conformance/team0-ai-conformance.yml
- type: LLMsTxt
  url: llms/team0-ai-llms.txt
- type: WellKnown
  url: well-known/team0-ai-well-known.yml
- type: Hosts
  url: hosts/team0-ai-hosts.yml
- type: Vendors
  url: vendors/team0-ai-vendors.yml
- type: TrustCenter
  url: https://team0.ai/trust
- type: TermsOfService
  url: https://team0.ai/terms
- type: Security
  url: https://team0.ai/security
- type: PrivacyPolicy
  url: https://team0.ai/privacy
- type: Blog
  url: https://team0.ai/blog
- type: APIReference
  url: https://team0.ai/developers
- type: DomainSecurity
  url: security/team0-ai-domain-security.yml
- type: Website
  url: https://team0.ai/
- type: Support
  url: https://team0.ai/support
- type: Pricing
  url: https://team0.ai/pricing
- type: Documentation
  url: https://team0.ai/product
- type: GettingStarted
  url: https://team0.ai/product
apis:
- name: Team0 External API
  description: Connect any MCP agent to Team0 at api.team0.ai/v1/mcp, or read the same understanding from your product over
    HTTP. Per-agent access, scoped reads.
  humanURL: https://team0.ai/developers
  baseURL: https://api.team0.ai/v1
  aid: team0-ai:team0-external-api
  properties:
    x-provenance: owned
x-enrichment:
  date: '2026-10-30'
  status: enriched
  artifacts_added: 30
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

team0-ai API — frequently asked questions

Does team0-ai have an API?

Yes. APIs.io lists 1 API from team0-ai, including Team0 External API.

How do I authenticate with the team0-ai API?

team0-ai documents its authentication (2 schemes). The details are profiled on APIs.io as Team0 Ai Authentication.

Is the team0-ai API ready for AI agents?

team0-ai has a Kin Score of 39.0 out of 100 (thin) and an Agent Readiness score of 24.1 (agent-aware), scored by API Evangelist on 2026-10-31.

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