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 3 APIs on the APIs.io network: Codex API, Studio API, and TLM API. Tagged areas include AI, 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 10 more developer resources.
Kin Score
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 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Cleanlab API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Cleanlab Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Cleanlab Finops
FINOPSEvent 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...
ASYNCAPISpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
Cleanlab API Rules
SPECTRALSecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API