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 contract indexed on the APIs.io network: Graph QL API. Tagged areas include Artificial Intelligence, LLM, Observability, Evaluation, and Monitoring.

The Literal AI catalog on APIs.io includes 1 Spectral governance ruleset.

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

🌐 Visit website 📡 Profile data on GitHub

28.7/100 thin ▬ flat Agent 23/100 agent aware Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract

Artificial Intelligence LLM Observability Evaluation Monitoring

Kin Score

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

Composite quality — 28.7/100 · thin

Contract Quality 9.9 / 19

Developer Ergonomics 4.3 / 15

Access Clarity 1.2 / 15

Operational Transparency 1.0 / 10

Contract Governance 1.2 / 9

Discoverability 5.0 / 8

Regulatory Posture 1.6 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 23/100 · 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

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
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)

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 7.9 — up to +18.4 composite points
Developer Ergonomics scores 28.6 — up to +14.3 composite points
Contract Quality scores 52.7 — up to +11.8 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/literalai/apis.yml: open an issue on github.com/api-evangelist/literalai 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 →

Standards implemented 1

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.

OpenAPI

measured — observed by APIs.io (published)

APIs 1

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

Literal AI Graph QL API

The Graph QL API from Literal AI — 1 operation(s) for graph ql.

Open Collections 2

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

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

Literal AI API pricing

Not yet checked against Literal AI's own pricing page. Compiled by API Evangelist on 2026-06-20 from www.literalai.com/pricing; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Basic (Free) free	Free
Pro paid	—
Enterprise enterprise	—

Plan details, limits and sources →

Rate limits

Log Units (Monthly Ingestion): see provider documentation log units
Data Retention: see provider documentation days
Team Members (Seats): see provider documentation seats

Compiled by API Evangelist, not yet checked against Literal AI's documentation. All 5 limits →

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

Service Levels 1

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

Literal AI

SLA

FinOps 1

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

Literalai Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Literal AI API Rules

50 rules · 48 errors 1 warnings 1 info

SPECTRAL

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
  gated: none
  gated_source:
  - onboarding
  label: Freemium · 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/literalai.png
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: vercel
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-graph-ql-api
  name: Literal AI Graph QL API
  description: The Graph QL API from Literal AI — 1 operation(s) for graph ql.
  humanURL: https://docs.literalai.com/python-client/api-reference/api
  baseURL: https://cloud.getliteral.ai/api/graphql
  tags:
  - GraphQL
  tags_raw:
  - Graph QL
  properties:
  - type: OpenAPI
    url: openapi/literalai-graph-ql-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

Literal AI API — frequently asked questions

Does Literal AI have an API?

Yes. APIs.io lists 1 API from Literal AI, including Literal AI Graph QL API.

Is there an OpenAPI specification for the Literal AI API?

Yes. APIs.io indexes 1 OpenAPI specification for Literal AI, each linked for download from this page.

How do I authenticate with the Literal AI API?

Literal AI uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Literalai Authentication.

How much does the Literal AI API cost?

APIs.io lists 3 pricing plans for Literal AI, with each plan's price, limits and inclusions under Pricing on this page.

Is the Literal AI API ready for AI agents?

Literal AI has a Kin Score of 28.7 out of 100 (thin) and an Agent Readiness score of 22.9 (agent-aware), scored by API Evangelist on 2026-11-06.

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