Evidently AI website screenshot

Evidently AI

Evidently AI is an open-source ML and LLM observability framework licensed under Apache 2.0 that enables teams to evaluate, test, and monitor AI-powered systems and data pipelines in production. The platform provides over 100 built-in metrics for tracking data drift, data quality, and model performance across both tabular data and generative AI workloads. Developers can integrate evaluations programmatically via the Python SDK or through the Evidently Platform REST API, which exposes endpoints for managing projects, uploading traces, running evaluations, and storing results. Evidently supports self-hosted deployments and previously offered Evidently Cloud (now discontinued as SaaS) so teams can run the full platform within their own infrastructure.

Evidently AI publishes 4 APIs on the APIs.io network, including Dashboards API, Projects API, Service API, and 1 more. Tagged areas include ML Monitoring, LLM Observability, Data Drift, Model Performance, and AI Evaluation.

The Evidently AI catalog on APIs.io includes 1 JSON-LD context.

Evidently AI’s developer surface includes authentication, documentation, engineering blog, pricing, and 12 more developer resources.

🌐 Visit website 📡 Source on GitHub
39.6/100 thin ▬ flat Agent 31/100 agent aware Full breakdown ↓
scored 2026-07-28 · rubric v0.6
AccessFreemiumSelf serve⚡ Free to try
4 APIs
ML MonitoringLLM ObservabilityData DriftModel PerformanceAI EvaluationData QualityOpen SourceMLOpsLLMOpsGenerative AI

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 39.6/100 · thin
Contract Quality 15.9 / 25
Developer Ergonomics 4.3 / 20
Commercial Clarity 10.0 / 20
Operational Transparency 0.7 / 13
Governance 1.2 / 12
Discoverability 7.4 / 10
Agent readiness — 31/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
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 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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/evidently: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 4

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

Evidently AI Dashboards API

Manage project monitoring dashboards

Evidently AI Projects API

Manage Evidently projects — create, list, update, delete

Evidently AI Service API

Service metadata and version information

Evidently AI Snapshots API

Upload and query evaluation snapshots (reports and test suites)

Pricing Plans 1

Published pricing tiers and plan structures.

Evidently Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Evidently Rate Limits

0 limits

RATE LIMITS

FinOps 1

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

Evidently Finops

FINOPS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Evidently Context

0 classes · 35 properties

JSON-LD

Security Posture 2

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

Evidently Authentication

http · 1 scheme

SECURITY

Evidently Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

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

Evidently Agentic Access

26 operations · 10 acting

26 operations · 10 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

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Vocabulary
Vocabulary
 JSONLDContext
JSONLDContext

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrg
GitHubOrg

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 3

Pricing, plans, and the legal terms of use

Pricing
Pricing
 Plans
Plans
 FinOps
FinOps

Company 4

The organization behind the API

Website
Website
 LinkedIn
LinkedIn
 Blog
Blog
 Blog
Blog

Other 1

Properties that don't map to a standard resource type

X
X

Source (apis.yml)

apis.yml Raw ↑ 
aid: evidently
name: Evidently AI
description: 'Evidently AI is an open-source ML and LLM observability framework licensed under Apache 2.0 that enables teams
  to evaluate, test, and monitor AI-powered systems and data pipelines in production. The platform provides over 100 built-in
  metrics for tracking data drift, data quality, and model performance across both tabular data and generative AI workloads.
  Developers can integrate evaluations programmatically via the Python SDK or through the Evidently Platform REST API, which
  exposes endpoints for managing projects, uploading traces, running evaluations, and storing results. Evidently supports
  self-hosted deployments and previously offered Evidently Cloud (now discontinued as SaaS) so teams can run the full platform
  within their own infrastructure.

  '
type: Index
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/evidently.png
url: https://raw.githubusercontent.com/api-evangelist/evidently/refs/heads/main/apis.yml
created: '2026-06-13'
modified: '2026-06-13'
specificationVersion: '0.19'
tags:
- ML Monitoring
- LLM Observability
- Data Drift
- Model Performance
- AI Evaluation
- Data Quality
- Open Source
- MLOps
- LLMOps
- Generative AI
apis:
- aid: evidently:evidently-dashboards-api
  name: Evidently AI Dashboards API
  description: Manage project monitoring dashboards
  humanURL: https://docs.evidentlyai.com/
  baseURL: https://app.evidently.cloud
  tags:
  - Dashboards
  properties:
  - type: OpenAPI
    url: openapi/evidently-dashboards-api-openapi.yml
  - type: Documentation
    url: https://docs.evidentlyai.com/
  - type: Python SDK
    url: https://pypi.org/project/evidently/
  - type: GitHubRepository
    url: https://github.com/evidentlyai/evidently
- aid: evidently:evidently-projects-api
  name: Evidently AI Projects API
  description: Manage Evidently projects — create, list, update, delete
  humanURL: https://docs.evidentlyai.com/
  baseURL: https://app.evidently.cloud
  tags:
  - Projects
  properties:
  - type: OpenAPI
    url: openapi/evidently-projects-api-openapi.yml
  - type: Documentation
    url: https://docs.evidentlyai.com/
  - type: Python SDK
    url: https://pypi.org/project/evidently/
  - type: GitHubRepository
    url: https://github.com/evidentlyai/evidently
- aid: evidently:evidently-service-api
  name: Evidently AI Service API
  description: Service metadata and version information
  humanURL: https://docs.evidentlyai.com/
  baseURL: https://app.evidently.cloud
  tags:
  - Service
  properties:
  - type: OpenAPI
    url: openapi/evidently-service-api-openapi.yml
  - type: Documentation
    url: https://docs.evidentlyai.com/
  - type: Python SDK
    url: https://pypi.org/project/evidently/
  - type: GitHubRepository
    url: https://github.com/evidentlyai/evidently
- aid: evidently:evidently-snapshots-api
  name: Evidently AI Snapshots API
  description: Upload and query evaluation snapshots (reports and test suites)
  humanURL: https://docs.evidentlyai.com/
  baseURL: https://app.evidently.cloud
  tags:
  - Snapshots
  properties:
  - type: OpenAPI
    url: openapi/evidently-snapshots-api-openapi.yml
  - type: Documentation
    url: https://docs.evidentlyai.com/
  - type: Python SDK
    url: https://pypi.org/project/evidently/
  - type: GitHubRepository
    url: https://github.com/evidentlyai/evidently
common:
- type: AgenticAccess
  url: agentic-access/evidently-agentic-access.yml
- type: DomainSecurity
  url: security/evidently-domain-security.yml
- type: Authentication
  url: authentication/evidently-authentication.yml
- type: Website
  url: https://www.evidentlyai.com/
- type: Documentation
  url: https://docs.evidentlyai.com/
- type: GitHubOrg
  url: https://github.com/evidentlyai
- type: LinkedIn
  url: https://www.linkedin.com/company/evidently-ai/
- type: Blog
  url: https://www.evidentlyai.com/blog
- type: Pricing
  url: https://www.evidentlyai.com/pricing
- type: X
  url: https://twitter.com/EvidentlyAI
- type: Plans
  url: plans/evidently-plans-pricing.yml
- type: RateLimits
  url: rate-limits/evidently-rate-limits.yml
- type: FinOps
  url: finops/evidently-finops.yml
- type: Vocabulary
  url: vocabulary/evidently-vocabulary.yml
- type: JSONLDContext
  url: json-ld/evidently-context.jsonld
- type: Blog
  url: blogs/blogs.json
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com