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.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Weights and Biases the way a machine reads it — 35 machine-readable artifacts across 1 API, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Weights and Biases scores 43.4/100 (developing), with a separate agent-readiness read of 26/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-09-08 · rubric v0.20.0
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How we profile Weights and Biases
Each block below is one kind of artifact we hold for Weights and Biases. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 16
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
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 within the panel for all 16 ·
Open Collections 11
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONFast Calls API
OPEN COLLECTIONFast Calls Costs API
OPEN COLLECTIONFast Calls Feedback API
OPEN COLLECTIONFast Calls Files API
OPEN COLLECTIONFast Calls Objects API
OPEN COLLECTIONFast Calls Refs API
OPEN COLLECTIONFast Calls Service API
OPEN COLLECTIONFast Calls Table API
OPEN COLLECTIONFast Calls Tables API
OPEN COLLECTIONFastAPI
OPEN COLLECTIONScroll within the panel for all 11 ·
GraphQL 1
Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.
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...
GRAPHQLPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Wandb Plans Pricing
PLANSRate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Wandb Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Wandb Finops
FINOPSSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Weights and Biases — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Documentation 2
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 4
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/wandb · machine-readable index on apis.io
This is an independent, third-party profile of Weights and Biases, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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