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.
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- AI
- LLM
- Trustworthiness
- Data Quality
- Guardrails
created: '2026-06-21'
modified: '2026-06-21'
specificationVersion: '0.19'
apis:
- aid: cleanlab:trustworthy-language-model
  name: Trustworthy Language Model (TLM)
  tags:
  - TLM
  - Trustworthiness
  - Hallucination Detection
  - LLM
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://help.cleanlab.ai/tlm/
  baseURL: https://api.cleanlab.ai/api/v1/openai_trustworthy_llm
  properties:
  - url: https://help.cleanlab.ai/tlm/
    type: Documentation
  - url: https://help.cleanlab.ai/tlm/api/python/tlm/
    type: APIReference
  - url: openapi/cleanlab-openapi.yml
    type: OpenAPI
  - url: asyncapi/cleanlab-asyncapi.yml
    type: AsyncAPI
  - url: collections/cleanlab.postman_collection.json
    type: Postman
  - url: https://github.com/cleanlab/cleanlab-tlm
    type: GitHub
  description: Wraps any base LLM (GPT, Claude, Gemini, Llama, and more) with a real-time
    0-1 trustworthiness score to detect hallucinations and unreliable answers. Exposed
    via an OpenAI-compatible Chat Completions endpoint (trustworthiness returned in
    tlm_metadata) and via prompt / get_trustworthiness_score operations.
- aid: cleanlab:cleanlab-studio
  name: Cleanlab Studio
  tags:
  - Data Curation
  - Labeling
  - AutoML
  - Inference
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://help.cleanlab.ai/studio/
  baseURL: https://api.cleanlab.ai
  properties:
  - url: https://help.cleanlab.ai/studio/quickstart/api/
    type: Documentation
  - url: https://help.cleanlab.ai/studio/api/python/studio/
    type: APIReference
  - url: openapi/cleanlab-openapi.yml
    type: OpenAPI
  - url: collections/cleanlab.postman_collection.json
    type: Postman
  - url: https://github.com/cleanlab/cleanlab-studio
    type: GitHub
  description: Cloud platform for data-centric AI - upload datasets, run automated
    data curation and error detection, train AutoML models, and deploy them for real-time
    REST inference. Driven by the cleanlab-studio Python client and a REST inference
    API.
- aid: cleanlab:codex
  name: Codex
  tags:
  - Guardrails
  - Validation
  - Remediation
  - RAG
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://help.cleanlab.ai/codex/
  baseURL: https://api.cleanlab.ai
  properties:
  - url: https://help.cleanlab.ai/codex/
    type: Documentation
  - url: https://help.cleanlab.ai/codex/api/python/project/
    type: APIReference
  - url: openapi/cleanlab-openapi.yml
    type: OpenAPI
  - url: collections/cleanlab.postman_collection.json
    type: Postman
  - url: https://github.com/cleanlab/cleanlab-codex
    type: GitHub
  description: Safety and reliability layer for AI assistants and RAG. Validates every
    AI response, decides whether to guardrail it, scores it across multiple eval
    criteria, escalates to subject-matter experts, and returns expert answers to
    remediate bad responses. Integrated via project access keys.
- aid: cleanlab:open-source-library
  name: Open-Source Library
  tags:
  - Open Source
  - Confident Learning
  - Data-Centric AI
  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.
common:
- 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
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com