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 15 more developer resources.

🌐 Visit website 📡 Source on GitHub

42.4/100 developing ▬ flat Agent 20/100 agent aware open core · Apache-2.0 Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessFreemiumSelf serve⚡ Free to try

1 APIs

ML Monitoring LLM ObservabilityData DriftModel PerformanceAI Evaluation Data Quality Open-Source MLOps LLMOps Generative AI

Kin Score

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

Composite quality — 42.4/100 · developing

Contract Quality 11.8 / 20

Developer Ergonomics 5.0 / 16

Access Clarity 8.0 / 16

Operational Transparency 2.2 / 10

Contract Governance 1.5 / 10

Discoverability 5.5 / 8

Open Source Surface 5.0 / 10

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 20/100 · 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 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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against 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 80 points between them, because the conditional facet above carries the other 20. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 80% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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/evidently: 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 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)

Open Collections 5

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

API Collection

OPEN COLLECTION

Evidently Platform REST Dashboards API

OPEN COLLECTION

Evidently Platform REST Dashboards Projects API

OPEN COLLECTION

Evidently Platform REST Dashboards Service API

OPEN COLLECTION

Evidently Platform REST Dashboards Snapshots API

OPEN COLLECTION

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

AGENTIC

Resources

Documentation 2

Reference material describing how the API behaves

ContributionGuide

ContributionGuide

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 3

Status, limits, changes, and where to get help

IssueTracker

IssueTracker

Releases

Releases

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

License

Pricing

Plans

FinOps

Company 3

The organization behind the API

Website

Website

LinkedIn

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

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
deliveryModel:
  model: open-core
  license: Apache-2.0
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - 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/evidently.png
url: https://raw.githubusercontent.com/api-evangelist/evidently/refs/heads/main/apis.yml
created: '2026-06-13'
modified: '2026-06-13'
specificationVersion: '0.23'
tags:
- ML Monitoring
- LLM Observability
- Data Drift
- Model Performance
- AI Evaluation
- Data Quality
- Open-Source
- MLOps
- LLMOps
- Generative AI
tags_raw:
- 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:
  - Project
  tags_raw:
  - 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: IssueTracker
  url: https://github.com/evidentlyai/evidently/issues
- type: Releases
  url: https://github.com/evidentlyai/evidently/releases
- type: ContributionGuide
  url: https://github.com/evidentlyai/evidently/blob/main/CONTRIBUTING.md
- type: License
  name: Apache-2.0
  url: https://github.com/evidentlyai/evidently/blob/main/LICENSE
- 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
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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