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Weights and Biases
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.
16 APIs
MLOps Experiment Tracking LLM Observability Model Registry AI Platform Evaluation Tracing
On this page
Kin Score
APIs 16
Open Collections 1
GraphQL 1
Pricing Plans 1
Rate Limits 1
FinOps 1
Security Posture 3
Agentic Access 1
Resources 16
apis.yml
26 Operational Transparency
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
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
Individual APIs this provider publishes, each with its own machine-readable definition.
Scroll for all 16
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
GraphQL schemas published by this provider.
Published pricing tiers and plan structures.
Documented rate limits and quota policies.
Cost, billing, and metering signals for API financial operations.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Recommended x-agentic-access execution contracts for AI agents.
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)
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