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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.

agent ready

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

Kin Score

API Evangelist profiles Cleanlab the way a machine reads it — 15 machine-readable artifacts across 4 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Cleanlab scores 52.5/100 (developing), with a separate agent-readiness read of 54/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 52.5/100 · developing
Contract Quality 17.6 / 25
Developer Ergonomics 4.3 / 20
Commercial Clarity 9.5 / 20
Operational Transparency 4.8 / 13
Governance 6.3 / 12
Discoverability 10.0 / 10
Agent readiness — 54/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
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

How we profile Cleanlab

Each block below is one kind of artifact we hold for Cleanlab. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 4

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

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 collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.

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

Cleanlab API

OPEN COLLECTION

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Cleanlab Rate Limits

4 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

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

Event Specifications 1

Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.

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

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Cleanlab API Rules

5 rules · 1 errors · 4 warnings

SPECTRAL

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

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

Cleanlab Agentic Access

3 operations · 3 acting

3 operations · 3 acting

AGENTIC

Resources

Every other property we hold for Cleanlab — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

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

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

← All providers · Data indexed from github.com/api-evangelist/cleanlab · machine-readable index on apis.io