Weights and Biases website screenshot

Weights and Biases

Weights and Biases (W&B) is an MLOps and AI developer platform covering the full lifecycle of model and LLM application development. W&B Models provides experiment tracking, hyperparameter sweeps, artifacts, model registry, and reports. W&B Weave provides LLM tracing, evaluation, cost tracking, guardrails, and prompt/playground tooling for production AI applications. Three CoreWeave- powered serverless capabilities sit alongside the core platform: Serverless Inference (OpenAI-compatible API for open-source foundation models), Serverless RL (post-training with ART/RULER), and Serverless Sandboxes (isolated code execution). The platform exposes a Python SDK, a public REST API, and a GraphQL API at api.wandb.ai, with CLI tooling and webhook integrations. W&B was acquired by CoreWeave in 2025.

Weights and Biases publishes 9 APIs on the APIs.io network, including Calls API, Costs API, Feedback API, and 6 more. Tagged areas include MLOps, Experiment Tracking, LLM Observability, Model Registry, and AI Platform.

Weights and Biases’ developer surface includes authentication, documentation, GitHub presence, pricing, engineering blog, and 11 more developer resources.

36.4/100 thin ▬ flat Agent 38/100 agent ready Full breakdown ↓
scored 2026-07-28 · rubric v0.6
AccessFreeSelf serve⚡ Free to try
16 APIs
MLOpsExperiment TrackingLLM ObservabilityModel RegistryAI PlatformEvaluationTracing

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 36.4/100 · thin
Contract Quality 13.4 / 25
Developer Ergonomics 4.3 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 3.4 / 13
Governance 0.0 / 12
Discoverability 7.4 / 10
Agent readiness — 38/100 · agent ready
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 8 / 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/wandb: 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 16

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

W&B GraphQL API

Primary programmatic surface for W&B Models. The Python public API (wandb.Api) speaks GraphQL against api.wandb.ai to query and manage runs, projects, sweeps, artifacts, registr...

W&B REST API

REST endpoints exposed by the W&B platform for ingestion, artifact upload, file storage, and integration callbacks. Used internally by the wandb SDK and CLI, and available to cu...

W&B Weave (LLM Observability)

LLM observability and evaluation platform providing tracing, output evaluation, cost estimation, prompt playground, guardrails, and a Python and TypeScript SDK. Traces and evalu...

W&B Python SDK

Official Python SDK (wandb) for logging runs, metrics, gradients, media, and artifacts; running sweeps; and interacting with the W&B public API. Apache-2.0 licensed.

W&B CLI

Command-line interface bundled with the wandb Python package for login, sweep orchestration, artifact management, and local agent execution.

W&B Serverless Inference (CoreWeave)

OpenAI-compatible inference API for hosted open-source foundation models, running on CoreWeave GPU infrastructure with native Weave tracing and usage tracking.

W&B Webhook Automations

Outbound webhook integrations driven by W&B automations. Customers register endpoints that W&B POSTs to when configured events fire (artifact created, alias added, run state cha...

Weights and Biases Calls API

The Calls API from Weights and Biases — 8 operation(s) for calls.

Weights and Biases Costs API

The Costs API from Weights and Biases — 3 operation(s) for costs.

Weights and Biases Feedback API

The Feedback API from Weights and Biases — 4 operation(s) for feedback.

Weights and Biases Files API

The Files API from Weights and Biases — 2 operation(s) for files.

Weights and Biases Objects API

The Objects API from Weights and Biases — 4 operation(s) for objects.

Weights and Biases Refs API

The Refs API from Weights and Biases — 1 operation(s) for refs.

Weights and Biases Service API

The Service API from Weights and Biases — 2 operation(s) for service.

Weights and Biases Table API

The Table API from Weights and Biases — 1 operation(s) for table.

Weights and Biases Tables API

The Tables API from Weights and Biases — 4 operation(s) for tables.

Scroll for all 16

Open Collections 1

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

FastAPI

OPEN COLLECTION

GraphQL 1

GraphQL schemas published by this provider.

Weights and Biases GraphQL API

Primary programmatic surface for W&B Models. The Python public API (wandb.Api) speaks GraphQL against api.wandb.ai to query and manage runs, projects, sweeps, artifacts, registr...

GRAPHQL

Pricing Plans 1

Published pricing tiers and plan structures.

Wandb Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Wandb Rate Limits

2 limits

RATE LIMITS

FinOps 1

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

Wandb Finops

FINOPS

Security Posture 3

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

Wandb Authentication

http · 1 scheme

SECURITY

Wandb Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Wandb Vulnerability Disclosure

disclosure policy published

SECURITY

Agentic Access 1

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

Wandb Agentic Access

29 operations · 27 acting

29 operations · 27 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 2

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: wandb
url: https://raw.githubusercontent.com/api-evangelist/wandb/refs/heads/main/apis.yml
name: Weights and Biases
kind: company
description: 'Weights and Biases (W&B) is an MLOps and AI developer platform covering the full lifecycle of model and LLM
  application development. W&B Models provides experiment tracking, hyperparameter sweeps, artifacts, model registry, and
  reports. W&B Weave provides LLM tracing, evaluation, cost tracking, guardrails, and prompt/playground tooling for production
  AI applications. Three CoreWeave- powered serverless capabilities sit alongside the core platform: Serverless Inference
  (OpenAI-compatible API for open-source foundation models), Serverless RL (post-training with ART/RULER), and Serverless
  Sandboxes (isolated code execution). The platform exposes a Python SDK, a public REST API, and a GraphQL API at api.wandb.ai,
  with CLI tooling and webhook integrations. W&B was acquired by CoreWeave in 2025.'
accessModel:
  pricing: free
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Free · 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/wandb.png
tags:
- MLOps
- Experiment Tracking
- LLM Observability
- Model Registry
- AI Platform
- Evaluation
- Tracing
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.19'
apis:
- aid: wandb:graphql
  name: W&B GraphQL API
  description: Primary programmatic surface for W&B Models. The Python public API (wandb.Api) speaks GraphQL against api.wandb.ai
    to query and manage runs, projects, sweeps, artifacts, registries, reports, automations, slack and webhook integrations,
    and viewer/entity context.
  humanURL: https://docs.wandb.ai/ref/python/public-api/api/
  baseURL: https://api.wandb.ai/graphql
  tags:
  - GraphQL
  - Runs
  - Artifacts
  - Sweeps
  - Model Registry
  properties:
  - type: Documentation
    url: https://docs.wandb.ai/ref/python/public-api/api/
  - url: graphql/wandb-graphql.md
    type: GraphQL
- aid: wandb:rest
  name: W&B REST API
  description: REST endpoints exposed by the W&B platform for ingestion, artifact upload, file storage, and integration callbacks.
    Used internally by the wandb SDK and CLI, and available to customers for direct integration.
  humanURL: https://docs.wandb.ai/
  baseURL: https://api.wandb.ai
  tags:
  - REST
  - Ingestion
  - Artifacts
  properties:
  - type: Documentation
    url: https://docs.wandb.ai/
- aid: wandb:weave
  name: W&B Weave (LLM Observability)
  description: LLM observability and evaluation platform providing tracing, output evaluation, cost estimation, prompt playground,
    guardrails, and a Python and TypeScript SDK. Traces and evaluations are persisted to the W&B backend and queryable via
    the Weave SDK.
  humanURL: https://weave-docs.wandb.ai/
  baseURL: https://api.wandb.ai
  tags:
  - LLM
  - Observability
  - Tracing
  - Evaluation
  - Guardrails
  properties:
  - type: Documentation
    url: https://weave-docs.wandb.ai/
  - type: Repository
    url: https://github.com/wandb/weave
- aid: wandb:python-sdk
  name: W&B Python SDK
  description: Official Python SDK (wandb) for logging runs, metrics, gradients, media, and artifacts; running sweeps; and
    interacting with the W&B public API. Apache-2.0 licensed.
  humanURL: https://docs.wandb.ai/ref/python/
  baseURL: https://github.com/wandb/wandb
  tags:
  - SDK
  - Python
  properties:
  - type: Repository
    url: https://github.com/wandb/wandb
  - type: Package
    url: https://pypi.org/project/wandb/
- aid: wandb:cli
  name: W&B CLI
  description: Command-line interface bundled with the wandb Python package for login, sweep orchestration, artifact management,
    and local agent execution.
  humanURL: https://docs.wandb.ai/ref/cli/
  baseURL: https://docs.wandb.ai/ref/cli/
  tags:
  - CLI
  - Sweeps
  - Agents
  properties:
  - type: Documentation
    url: https://docs.wandb.ai/ref/cli/
- aid: wandb:serverless-inference
  name: W&B Serverless Inference (CoreWeave)
  description: OpenAI-compatible inference API for hosted open-source foundation models, running on CoreWeave GPU infrastructure
    with native Weave tracing and usage tracking.
  humanURL: https://docs.wandb.ai/guides/inference
  baseURL: https://api.inference.wandb.ai/v1
  tags:
  - Inference
  - OpenAI-Compatible
  - LLM
  - Serverless
  properties:
  - type: Documentation
    url: https://docs.wandb.ai/guides/inference
- aid: wandb:webhook-automations
  name: W&B Webhook Automations
  description: Outbound webhook integrations driven by W&B automations. Customers register endpoints that W&B POSTs to when
    configured events fire (artifact created, alias added, run state changes, registry events).
  humanURL: https://docs.wandb.ai/guides/automations/
  baseURL: customer-configured
  tags:
  - Webhooks
  - Automations
  - Events
  properties:
  - type: Documentation
    url: https://docs.wandb.ai/guides/automations/
- aid: wandb:wandb-calls-api
  name: Weights and Biases Calls API
  description: The Calls API from Weights and Biases — 8 operation(s) for calls.
  humanURL: https://docs.wandb.ai/ref/python/public-api/api/
  baseURL: https://api.wandb.ai/graphql
  tags:
  - Calls
  properties:
  - type: OpenAPI
    url: openapi/wandb-calls-api-openapi.yml
- aid: wandb:wandb-costs-api
  name: Weights and Biases Costs API
  description: The Costs API from Weights and Biases — 3 operation(s) for costs.
  humanURL: https://docs.wandb.ai/ref/python/public-api/api/
  baseURL: https://api.wandb.ai/graphql
  tags:
  - Costs
  properties:
  - type: OpenAPI
    url: openapi/wandb-costs-api-openapi.yml
- aid: wandb:wandb-feedback-api
  name: Weights and Biases Feedback API
  description: The Feedback API from Weights and Biases — 4 operation(s) for feedback.
  humanURL: https://docs.wandb.ai/ref/python/public-api/api/
  baseURL: https://api.wandb.ai/graphql
  tags:
  - Feedback
  properties:
  - type: OpenAPI
    url: openapi/wandb-feedback-api-openapi.yml
- aid: wandb:wandb-files-api
  name: Weights and Biases Files API
  description: The Files API from Weights and Biases — 2 operation(s) for files.
  humanURL: https://docs.wandb.ai/ref/python/public-api/api/
  baseURL: https://api.wandb.ai/graphql
  tags:
  - Files
  properties:
  - type: OpenAPI
    url: openapi/wandb-files-api-openapi.yml
- aid: wandb:wandb-objects-api
  name: Weights and Biases Objects API
  description: The Objects API from Weights and Biases — 4 operation(s) for objects.
  humanURL: https://docs.wandb.ai/ref/python/public-api/api/
  baseURL: https://api.wandb.ai/graphql
  tags:
  - Objects
  properties:
  - type: OpenAPI
    url: openapi/wandb-objects-api-openapi.yml
- aid: wandb:wandb-refs-api
  name: Weights and Biases Refs API
  description: The Refs API from Weights and Biases — 1 operation(s) for refs.
  humanURL: https://docs.wandb.ai/ref/python/public-api/api/
  baseURL: https://api.wandb.ai/graphql
  tags:
  - Refs
  properties:
  - type: OpenAPI
    url: openapi/wandb-refs-api-openapi.yml
- aid: wandb:wandb-service-api
  name: Weights and Biases Service API
  description: The Service API from Weights and Biases — 2 operation(s) for service.
  humanURL: https://docs.wandb.ai/ref/python/public-api/api/
  baseURL: https://api.wandb.ai/graphql
  tags:
  - Service
  properties:
  - type: OpenAPI
    url: openapi/wandb-service-api-openapi.yml
- aid: wandb:wandb-table-api
  name: Weights and Biases Table API
  description: The Table API from Weights and Biases — 1 operation(s) for table.
  humanURL: https://docs.wandb.ai/ref/python/public-api/api/
  baseURL: https://api.wandb.ai/graphql
  tags:
  - Table
  properties:
  - type: OpenAPI
    url: openapi/wandb-table-api-openapi.yml
- aid: wandb:wandb-tables-api
  name: Weights and Biases Tables API
  description: The Tables API from Weights and Biases — 4 operation(s) for tables.
  humanURL: https://docs.wandb.ai/ref/python/public-api/api/
  baseURL: https://api.wandb.ai/graphql
  tags:
  - Tables
  properties:
  - type: OpenAPI
    url: openapi/wandb-tables-api-openapi.yml
common:
- type: AgenticAccess
  url: agentic-access/wandb-agentic-access.yml
- type: VulnerabilityDisclosure
  url: security/wandb-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/wandb-domain-security.yml
- type: Authentication
  url: authentication/wandb-authentication.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/wandbai
- type: Website
  url: https://wandb.ai/
- type: Documentation
  url: https://docs.wandb.ai/
- type: GitHub
  url: https://github.com/wandb
- type: Weave
  url: https://weave-docs.wandb.ai/
- type: Pricing
  url: https://wandb.ai/site/pricing/
- type: Parent
  url: https://www.coreweave.com/
- type: Plans
  url: plans/wandb-plans-pricing.yml
- type: RateLimits
  url: rate-limits/wandb-rate-limits.yml
- type: FinOps
  url: finops/wandb-finops.yml
- type: LlmsText
  url: https://docs.wandb.ai/llms.txt
- type: Blog
  url: https://wandb.ai/fully-connected
integrations:
- name: PyTorch
- name: TensorFlow
- name: Hugging Face
- name: Keras
- name: scikit-learn
- name: OpenAI
- name: Anthropic
- name: LangChain
- name: LlamaIndex
- name: Slack
- name: GitHub
- name: Kubernetes
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com