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 2 API contracts indexed on the APIs.io network: Nimble API and Viewer API. Tagged areas include Company, Artificial Intelligence, Machine Learning, LLM, and Synthetic Data.

The Bespoke Labs catalog on APIs.io includes 1 Spectral governance ruleset.

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

🌐 Visit website 📡 Profile data on GitHub

41.2/100 developing ▬ flat Agent 26/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract 1 Agent Skills

Company Artificial Intelligence Machine Learning LLM Synthetic Data Data Curation Fact Checking Hallucination Detection AI Agents Evaluation

Kin Score

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

Composite quality — 41.2/100 · developing

Contract Quality 8.2 / 19

Developer Ergonomics 9.9 / 15

Access Clarity 5.1 / 15

Operational Transparency 0.3 / 10

Contract Governance 1.6 / 9

Discoverability 5.5 / 8

Regulatory Posture 3.4 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 26/100 · 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

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 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.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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
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)
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)
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

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 43.6 — up to +14.1 composite points
Access Clarity scores 34.2 — up to +13.2 composite points
Operational Transparency scores 2.6 — up to +12.7 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/bespoke-labs/apis.yml: open an issue on github.com/api-evangelist/bespoke-labs 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 1

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.

OpenAPI

measured — observed by APIs.io (published)

APIs 2

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

Bespoke Labs Nimble API

The Nimble API from Bespoke Labs — 1 operation(s) for nimble.

Bespoke Labs Viewer API

The Viewer API from Bespoke Labs — 4 operation(s) for viewer.

Open Collections 1

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

Argus Minicheck API

OPEN COLLECTION

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

Fact-check a claim with Bespoke MiniCheck

AGENT SKILL

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Bespoke Labs API Rules

46 rules · 44 errors 1 warnings 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.

Bespoke Labs Minicheck Overlay

3 actions · servers · bespoke-labs-minicheck-openapi-original.json

DERIVED

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

ErrorCatalog

Lifecycle

Conventions

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)

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: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
image: https://framerusercontent.com/images/3uXQTaKpkGh6gD7qAWsAwPMhk.png
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-09-20
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
- Machine-Learning
apis:
- aid: bespoke-labs:bespoke-labs-nimble-api
  name: Bespoke Labs Nimble API
  description: The Nimble API from Bespoke Labs — 1 operation(s) for nimble.
  humanURL: https://docs.bespokelabs.ai/models/bespoke-minicheck/api
  baseURL: https://api.bespokelabs.ai
  tags:
  - Nimble
  properties:
  - type: OpenAPI
    url: openapi/bespoke-labs-nimble-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
- aid: bespoke-labs:bespoke-labs-viewer-api
  name: Bespoke Labs Viewer API
  description: The Viewer API from Bespoke Labs — 4 operation(s) for viewer.
  humanURL: https://docs.bespokelabs.ai/models/bespoke-minicheck/api
  baseURL: https://api.bespokelabs.ai
  tags:
  - Viewer
  properties:
  - type: OpenAPI
    url: openapi/bespoke-labs-viewer-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

Bespoke Labs API — frequently asked questions

Does Bespoke Labs have an API?

Yes. APIs.io lists 2 APIs from Bespoke Labs, including Bespoke Labs Nimble API and Bespoke Labs Viewer API.

Is there an OpenAPI specification for the Bespoke Labs API?

Yes. APIs.io indexes 2 OpenAPI specifications for Bespoke Labs, each linked for download from this page.

How do I authenticate with the Bespoke Labs API?

Bespoke Labs uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Bespoke Labs Authentication.

Is the Bespoke Labs API ready for AI agents?

Bespoke Labs has a Kin Score of 41.2 out of 100 (developing) and an Agent Readiness score of 25.5 (agent-aware), scored by API Evangelist on 2026-11-06.

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