Literal AI

Literal AI is the collaborative observability, evaluation, and analytics platform for building production-grade LLM applications, from the Chainlit team. Its API is GraphQL (POST /api/graphql) consumed through Python and TypeScript SDKs, capturing threads, steps, generations, datasets, experiments, prompts, and scores, with an additional OpenTelemetry (OTLP) ingestion path for traces.

Literal AI publishes 1 API on the APIs.io network: GraphQL API. Tagged areas include Artificial Intelligence, LLM, Observability, Evaluation, and Monitoring.

Literal AI’s developer surface includes authentication, documentation, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

39.4/100 developing ▬ flat Agent 25/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessFreemiumSelf serve⚡ Free to try

1 APIs

Artificial Intelligence LLM Observability Evaluation Monitoring

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 39.4/100 · developing

Contract Quality 13.7 / 23

Developer Ergonomics 5.1 / 18

Access Clarity 7.1 / 18

Operational Transparency 4.0 / 12

Contract Governance 0.0 / 11

Discoverability 6.2 / 9

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 25/100 · 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 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 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

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.

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 github.com/api-evangelist/literalai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

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

Literal AI GraphQL API

The GraphQL API from Literal AI — 1 operation(s) for graphql.

Open Collections 3

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

API Collection

OPEN COLLECTION

Literal AI GraphQL API

OPEN COLLECTION

Literal AI API

OPEN COLLECTION

GraphQL 1

GraphQL schemas published by this provider.

Literal AI GraphQL API

Representative GraphQL schema for the [Literal AI](https://www.literalai.com/) LLM

GRAPHQL

Pricing Plans 1

Published pricing tiers and plan structures.

Literalai Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Literalai Rate Limits

5 limits

RATE LIMITS

FinOps 1

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

Literalai Finops

FINOPS

Security Posture 2

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

Literalai Authentication

apiKey · 1 scheme

SECURITY

Literalai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

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

Literalai Agentic Access

1 operation · 1 acting

1 operations · 1 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 2

Authentication, authorization, and security posture

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 2

The organization behind the API

LinkedIn

Website

Website

Source (apis.yml)

aid: literalai
url: https://raw.githubusercontent.com/api-evangelist/literalai/refs/heads/main/apis.yml
name: Literal AI
kind: company
description: Literal AI is the collaborative observability, evaluation, and analytics platform for building production-grade
  LLM applications, from the Chainlit team. Its API is GraphQL (POST /api/graphql) consumed through Python and TypeScript
  SDKs, capturing threads, steps, generations, datasets, experiments, prompts, and scores, with an additional OpenTelemetry
  (OTLP) ingestion path for traces.
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: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/literalai.png
tags:
- Artificial Intelligence
- LLM
- Observability
- Evaluation
- Monitoring
tags_raw:
- AI
- LLM
- Observability
- Evaluation
- Monitoring
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.23'
apis:
- aid: literalai:literalai-graphql-api
  name: Literal AI GraphQL API
  description: The GraphQL API from Literal AI — 1 operation(s) for graphql.
  humanURL: https://docs.literalai.com/python-client/api-reference/api
  baseURL: https://cloud.getliteral.ai/api/graphql
  tags:
  - GraphQL
  properties:
  - type: OpenAPI
    url: openapi/literalai-graphql-api-openapi.yml
  - type: Documentation
    url: https://docs.literalai.com/observability/concepts
  - type: APIReference
    url: https://docs.literalai.com/python-client/api-reference/api
  - type: GraphQL
    url: graphql/literalai-graphql.md
  - type: Documentation
    url: https://docs.literalai.com/evaluation/datasets
  - type: Documentation
    url: https://docs.literalai.com/evaluation/experiments
  - type: Documentation
    url: https://docs.literalai.com/prompt-engineering/prompts
  - type: Documentation
    url: https://docs.literalai.com/evaluation/scores
common:
- type: AgenticAccess
  url: agentic-access/literalai-agentic-access.yml
- type: DomainSecurity
  url: security/literalai-domain-security.yml
- type: Authentication
  url: authentication/literalai-authentication.yml
- type: GitHubOrganization
  url: https://github.com/Chainlit
- type: LinkedIn
  url: https://www.linkedin.com/company/chainlit
- type: Website
  url: https://www.literalai.com
- type: Documentation
  url: https://docs.literalai.com
- type: Plans
  url: plans/literalai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/literalai-rate-limits.yml
- type: FinOps
  url: finops/literalai-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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