Bespoke Labs website screenshot

Bespoke Labs

Bespoke Labs is an applied AI research lab building environment infrastructure, data curation, and evaluation tooling for AI agents and post-training. Its open-source Bespoke Curator library generates high-quality synthetic data at scale for model finetuning and structured extraction, and its Bespoke MiniCheck ("Argus") API offers a lightweight grounded-factuality / hallucination-detection service that scores whether a claim is supported by a given context. The lab is also known for OpenThoughts reasoning datasets, Terminal-Bench, the GEPA prompt optimizer, MiniChart, and OpenThinker. Backed by 8VC, Mayfield, and Wing Venture Capital.

Bespoke Labs publishes 1 API on the APIs.io network: Minicheck API. Tagged areas include Company, Artificial Intelligence, Machine-Learning, LLM, and Synthetic Data.

Bespoke Labs’ developer surface includes authentication, documentation, API reference, getting-started guide, signup flow, support, engineering blog, and 20 more developer resources.

🌐 Visit website 📡 Source on GitHub
40.4/100 developing ▬ flat Agent 21/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
1 APIs
CompanyArtificial IntelligenceMachine-LearningLLMSynthetic DataData CurationFact CheckingHallucination DetectionAI AgentsEvaluation

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 40.4/100 · developing
Contract Quality 11.3 / 23
Developer Ergonomics 11.9 / 18
Access Clarity 6.2 / 18
Operational Transparency 0.3 / 12
Contract Governance 0.5 / 11
Discoverability 6.8 / 9
Create-or-Update Ergonomics 0.0 / 10
Agent readiness — 21/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 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 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.
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 github.com/api-evangelist/bespoke-labs: open an issue to ask a question, or submit a pull request to add artifacts. 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.

Bespoke Labs Minicheck API

The Minicheck API from Bespoke Labs — 1 operation(s) for minicheck.

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Argus Minicheck API

OPEN COLLECTION

Security Posture 2

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

Bespoke Labs Authentication

apiKey · 1 scheme

SECURITY

Bespoke Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Bespoke Labs Agentic Access

1 operation · 1 acting

1 operations · 1 acting

AGENTIC

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted
 SignUp
SignUp

Documentation 2

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess
AgenticAccess
 WellKnown
WellKnown
 X-MCPServerCandidate
X-MCPServerCandidate
 LLMsTxt
LLMsTxt
 AgentSkill
AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conformance
Conformance
 ErrorCatalog
ErrorCatalog
 Lifecycle
Lifecycle
 Conventions
Conventions
 DataModel
DataModel

Build 3

SDKs, sample code, and the tooling you integrate with

Packages
Packages
 SDKs
SDKs
 GitHubOrganization
GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

Authentication
Authentication
 DomainSecurity
DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support
Support
 Community
Community

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Blog
Blog
 Website
Website

Other 1

Properties that don't map to a standard resource type

Overlay
Overlay

Source (apis.yml)

apis.yml Raw ↑ 
aid: bespoke-labs
name: Bespoke Labs
description: Bespoke Labs is an applied AI research lab building environment infrastructure, data curation, and evaluation
  tooling for AI agents and post-training. Its open-source Bespoke Curator library generates high-quality synthetic data at
  scale for model finetuning and structured extraction, and its Bespoke MiniCheck ("Argus") API offers a lightweight grounded-factuality
  / hallucination-detection service that scores whether a claim is supported by a given context. The lab is also known for
  OpenThoughts reasoning datasets, Terminal-Bench, the GEPA prompt optimizer, MiniChart, and OpenThinker. Backed by 8VC, Mayfield,
  and Wing Venture Capital.
url: https://raw.githubusercontent.com/api-evangelist/bespoke-labs/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 8vc
- mayfield
- wing-venture-capital
x-tier: active
x-tier-reason: enriched-real-api
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
image: https://framerusercontent.com/images/3uXQTaKpkGh6gD7qAWsAwPMhk.png
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- LLM
- Synthetic Data
- Data Curation
- Fact Checking
- Hallucination Detection
- AI Agents
- Evaluation
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- LLM
- Synthetic Data
- Data Curation
- Fact Checking
- Hallucination Detection
- AI Agents
- Evaluation
apis:
- aid: bespoke-labs:bespoke-labs-minicheck-api
  name: Bespoke Labs Minicheck API
  description: The Minicheck API from Bespoke Labs — 1 operation(s) for minicheck.
  humanURL: https://docs.bespokelabs.ai/models/bespoke-minicheck/api
  baseURL: https://api.bespokelabs.ai
  tags:
  - Minicheck
  properties:
  - type: OpenAPI
    url: openapi/bespoke-labs-minicheck-api-openapi.yml
  - type: Documentation
    url: https://docs.bespokelabs.ai/models/bespoke-minicheck.md
  - type: APIReference
    url: https://docs.bespokelabs.ai/models/bespoke-minicheck/api
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Overlay
  url: overlays/bespoke-labs-minicheck-overlay.yaml
- type: AgenticAccess
  url: agentic-access/bespoke-labs-agentic-access.yml
- type: Authentication
  url: authentication/bespoke-labs-authentication.yml
- type: DomainSecurity
  url: security/bespoke-labs-domain-security.yml
- type: Packages
  url: packages/bespoke-labs-packages.yml
- type: SDKs
  url: packages/bespoke-labs-packages.yml
- type: WellKnown
  url: well-known/bespoke-labs-well-known.yml
- type: X-MCPServerCandidate
  url: mcp/bespoke-labs-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: LLMsTxt
  url: llms/bespoke-labs-llms.txt
- type: Conformance
  url: conformance/bespoke-labs-conformance.yml
- type: ErrorCatalog
  url: errors/bespoke-labs-problem-types.yml
- type: Lifecycle
  url: lifecycle/bespoke-labs-lifecycle.yml
- type: Conventions
  url: conventions/bespoke-labs-conventions.yml
- type: DataModel
  url: data-model/bespoke-labs-data-model.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DeveloperPortal
  url: https://docs.bespokelabs.ai
- type: Documentation
  url: https://docs.bespokelabs.ai
- type: APIReference
  url: https://docs.bespokelabs.ai/models/bespoke-minicheck/api
- type: GettingStarted
  url: https://docs.bespokelabs.ai/bespoke-curator/getting-started
- type: SignUp
  url: https://console.bespokelabs.ai
- type: Support
  url: https://bespokelabs.ai/contact
- type: Community
  url: https://discord.com/invite/KqpXvpzVBS
- type: Blog
  url: https://bespokelabs.ai/blog
- type: GitHubOrganization
  url: https://github.com/bespokelabsai
- type: TermsOfService
  url: https://bespokelabs.ai/legal/terms-of-use
- type: PrivacyPolicy
  url: https://bespokelabs.ai/legal/privacy-policy
- type: Website
  url: https://bespokelabs.ai
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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