Cleanlab

Cleanlab is a data-and-AI trust platform. Its Trustworthy Language Model (TLM) wraps any LLM with a real-time trustworthiness score to catch hallucinations, Cleanlab Studio curates and labels training data and deploys reliable ML models, and Codex adds a safety, guardrail, and remediation layer for AI assistants and RAG. The open-source cleanlab library underpins it all with data-centric AI.

Cleanlab publishes 4 API contracts indexed on the APIs.io network, including Codex API, Studio API, TLM API, and 1 more. Tagged areas include Artificial Intelligence, LLM, Trustworthiness, Data Quality, and Guardrails.

The Cleanlab catalog on APIs.io includes 1 event-driven AsyncAPI specification and 1 Spectral governance ruleset.

Cleanlab’s developer surface includes authentication, documentation, engineering blog, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

34.3/100 thin ▬ flat Agent 19/100 agent aware Front door AI 6/6 dominant Heartbeat 39/100 slowing open core · Apache-2.0 Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serveFree trial⚡ Free to try

1 published contract

Artificial Intelligence LLMTrustworthinessData Quality Guardrails Real-Time

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information & Data Management

BC-610

CodexStudioTLM

POST /api/v1/codex/projects/{project_id}/validate POST /api/v1/deployment/{model_id}/predict

Kin Score

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

Composite quality — 34.3/100 · thin

Contract Quality 10.4 / 19

Developer Ergonomics 4.8 / 15

Access Clarity 2.4 / 15

Operational Transparency 2.1 / 10

Contract Governance 1.0 / 9

Discoverability 5.0 / 8

Regulatory Posture 3.1 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 19/100 · 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 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 6 / 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 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)
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
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):

Access Clarity scores 15.8 — up to +16.8 composite points
Developer Ergonomics scores 32.1 — up to +13.6 composite points
Contract Quality scores 55.2 — up to +11.2 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/cleanlab/apis.yml: open an issue on github.com/api-evangelist/cleanlab 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Hugging Face Hub Organisations	builds-on	17.2 (thin)	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

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.

The OpenAI Interface

prose — states compatibility; nothing published to check it against

2 core of 338 operations graded · api-commons/models

OpenAPI

measured — observed by APIs.io (published)

APIs 4

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

Open-Source Library

The original open-source cleanlab Python library for data-centric AI - finds and fixes label errors, outliers, and other data issues using confident learning. Runs locally (pip ...

Cleanlab Codex API

The Codex API from Cleanlab — 1 operation(s) for codex.

Cleanlab Studio API

The Studio API from Cleanlab — 1 operation(s) for studio.

Cleanlab TLM API

The TLM API from Cleanlab — 1 operation(s) for tlm.

Open Collections 4

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

Cleanlab Codex API

OPEN COLLECTION

Cleanlab Codex Studio API

OPEN COLLECTION

Cleanlab Codex TLM API

OPEN COLLECTION

Cleanlab API

OPEN COLLECTION

Cleanlab API pricing

Not yet checked against Cleanlab's own pricing page. Compiled by API Evangelist on 2026-06-21 from cleanlab.ai/pricing/; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Open-Source Library free	—
TLM Free free	—
TLM Usage usage	—
Cleanlab AI Platform (Studio + Codex) usage	—
Enterprise enterprise	—

Plan details, limits and sources →

Rate limits

TLM Concurrent Requests: see provider documentation concurrent requests
TLM Requests Per Minute: see provider documentation requests
Codex Validation Requests: see provider documentation requests

Compiled by API Evangelist, not yet checked against Cleanlab's documentation. All 4 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Cleanlab Plans Pricing

5 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Cleanlab Rate Limits

4 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Cleanlab

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Cleanlab Finops

FINOPS

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Cleanlab TLM Chat Completions Streaming (HTTP + SSE)

AsyncAPI 2.6 description of the Trustworthy Language Model (TLM) **chat completion streaming** surface. Cleanlab does not publish a WebSocket API. The TLM is exposed via an Open...

ASYNCAPI

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Cleanlab — asyncapi rules

5 rules · 1 errors 4 warnings

SPECTRAL

Security Posture 4

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

Cleanlab Authentication

http · 1 scheme

SECURITY

Cleanlab Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Cleanlab Vulnerability Disclosure

security.txt · contact published

SECURITY

Cleanlab Trust Center

SOC 2

SECURITY

Agentic Access 1

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

Cleanlab Agentic Access

3 operations · 3 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Source (apis.yml)

aid: cleanlab
url: https://raw.githubusercontent.com/api-evangelist/cleanlab/refs/heads/main/apis.yml
name: Cleanlab
kind: company
description: Cleanlab is a data-and-AI trust platform. Its Trustworthy Language Model (TLM) wraps any LLM with a real-time
  trustworthiness score to catch hallucinations, Cleanlab Studio curates and labels training data and deploys reliable ML
  models, and Codex adds a safety, guardrail, and remediation layer for AI assistants and RAG. The open-source cleanlab library
  underpins it all with data-centric AI.
deliveryModel:
  model: open-core
  license: Apache-2.0
  license_evidence:
    repo: cleanlab/cleanlab
    spdx: Apache-2.0
    stars: 11673
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: medium
  source:
  - openapi
  - pricing
  - repository-license
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: true
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium (free trial) · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/cleanlab.png
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-21
x-docs-hosting: github-pages
tags:
- Artificial Intelligence
- LLM
- Trustworthiness
- Data Quality
- Guardrails
- Real-Time
tags_raw:
- AI
- LLM
- Trustworthiness
- Data Quality
- Guardrails
- Real-Time
created: '2026-06-21'
modified: '2026-06-21'
specificationVersion: '0.23'
apis:
- aid: cleanlab:open-source-library
  name: Open-Source Library
  tags:
  - Open Source
  - Confident Learning
  - Data-Centric AI
  tags_raw:
  - Open Source
  - Confident Learning
  - Data-Centric AI
  - Open-Source
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.cleanlab.ai/
  baseURL: https://github.com/cleanlab/cleanlab
  properties:
  - url: https://docs.cleanlab.ai/
    type: Documentation
  - url: https://github.com/cleanlab/cleanlab
    type: GitHub
  description: The original open-source cleanlab Python library for data-centric AI - finds and fixes label errors, outliers,
    and other data issues using confident learning. Runs locally (pip install cleanlab); free, not a hosted API.
- aid: cleanlab:cleanlab-codex-api
  name: Cleanlab Codex API
  description: The Codex API from Cleanlab — 1 operation(s) for codex.
  humanURL: https://help.cleanlab.ai/tlm/
  baseURL: https://api.cleanlab.ai/api/v1/openai_trustworthy_llm
  tags:
  - Codex
  properties:
  - type: OpenAPI
    url: openapi/cleanlab-codex-api-openapi.yml
  - type: Documentation
    url: https://help.cleanlab.ai/tlm/
  - type: APIReference
    url: https://help.cleanlab.ai/tlm/api/python/tlm/
  - type: AsyncAPI
    url: asyncapi/cleanlab-asyncapi.yml
  - type: Postman
    url: collections/cleanlab.postman_collection.json
  - type: GitHub
    url: https://github.com/cleanlab/cleanlab-tlm
  - type: Documentation
    url: https://help.cleanlab.ai/studio/quickstart/api/
  - type: APIReference
    url: https://help.cleanlab.ai/studio/api/python/studio/
  - type: GitHub
    url: https://github.com/cleanlab/cleanlab-studio
  - type: Documentation
    url: https://help.cleanlab.ai/codex/
  - type: APIReference
    url: https://help.cleanlab.ai/codex/api/python/project/
  - type: GitHub
    url: https://github.com/cleanlab/cleanlab-codex
- aid: cleanlab:cleanlab-studio-api
  name: Cleanlab Studio API
  description: The Studio API from Cleanlab — 1 operation(s) for studio.
  humanURL: https://help.cleanlab.ai/tlm/
  baseURL: https://api.cleanlab.ai/api/v1/openai_trustworthy_llm
  tags:
  - Studio
  properties:
  - type: OpenAPI
    url: openapi/cleanlab-studio-api-openapi.yml
  - type: Documentation
    url: https://help.cleanlab.ai/tlm/
  - type: APIReference
    url: https://help.cleanlab.ai/tlm/api/python/tlm/
  - type: AsyncAPI
    url: asyncapi/cleanlab-asyncapi.yml
  - type: Postman
    url: collections/cleanlab.postman_collection.json
  - type: GitHub
    url: https://github.com/cleanlab/cleanlab-tlm
  - type: Documentation
    url: https://help.cleanlab.ai/studio/quickstart/api/
  - type: APIReference
    url: https://help.cleanlab.ai/studio/api/python/studio/
  - type: GitHub
    url: https://github.com/cleanlab/cleanlab-studio
  - type: Documentation
    url: https://help.cleanlab.ai/codex/
  - type: APIReference
    url: https://help.cleanlab.ai/codex/api/python/project/
  - type: GitHub
    url: https://github.com/cleanlab/cleanlab-codex
- aid: cleanlab:cleanlab-tlm-api
  name: Cleanlab TLM API
  description: The TLM API from Cleanlab — 1 operation(s) for tlm.
  humanURL: https://help.cleanlab.ai/tlm/
  baseURL: https://api.cleanlab.ai/api/v1/openai_trustworthy_llm
  tags:
  - TLM
  properties:
  - type: OpenAPI
    url: openapi/cleanlab-tlm-api-openapi.yml
  - type: Documentation
    url: https://help.cleanlab.ai/tlm/
  - type: APIReference
    url: https://help.cleanlab.ai/tlm/api/python/tlm/
  - type: AsyncAPI
    url: asyncapi/cleanlab-asyncapi.yml
  - type: Postman
    url: collections/cleanlab.postman_collection.json
  - type: GitHub
    url: https://github.com/cleanlab/cleanlab-tlm
  - type: Documentation
    url: https://help.cleanlab.ai/studio/quickstart/api/
  - type: APIReference
    url: https://help.cleanlab.ai/studio/api/python/studio/
  - type: GitHub
    url: https://github.com/cleanlab/cleanlab-studio
  - type: Documentation
    url: https://help.cleanlab.ai/codex/
  - type: APIReference
    url: https://help.cleanlab.ai/codex/api/python/project/
  - type: GitHub
    url: https://github.com/cleanlab/cleanlab-codex
common:
- type: CapabilityMap
  url: capabilities/cleanlab-capability-edges.yml
  name: Cleanlab Business Capability Map
- type: AgenticAccess
  url: agentic-access/cleanlab-agentic-access.yml
- type: TrustCenter
  url: security/cleanlab-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/cleanlab-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/cleanlab-domain-security.yml
- type: Authentication
  url: authentication/cleanlab-authentication.yml
- type: GitHubOrganization
  url: https://github.com/cleanlab
- type: LinkedIn
  url: https://www.linkedin.com/company/cleanlab
- type: Website
  url: https://cleanlab.ai
- type: Documentation
  url: https://help.cleanlab.ai
- type: Plans
  url: plans/cleanlab-plans-pricing.yml
- type: RateLimits
  url: rate-limits/cleanlab-rate-limits.yml
- type: FinOps
  url: finops/cleanlab-finops.yml
- url: https://cleanlab.ai/blog/
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Cleanlab API — frequently asked questions

Does Cleanlab have an API?

Yes. APIs.io lists 4 APIs from Cleanlab, including Open-Source Library, Cleanlab Codex API and Cleanlab Studio API, and 1 more.

Is there an OpenAPI specification for the Cleanlab API?

Yes. APIs.io indexes 3 OpenAPI specifications for Cleanlab, each linked for download from this page.

How do I authenticate with the Cleanlab API?

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

How much does the Cleanlab API cost?

APIs.io lists 5 pricing plans for Cleanlab, with each plan's price, limits and inclusions under Pricing on this page.

Is the Cleanlab API ready for AI agents?

Cleanlab has a Kin Score of 34.3 out of 100 (thin) and an Agent Readiness score of 19.0 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

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Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
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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