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dbt

dbt Labs operates dbt Cloud, the managed platform for the open-source dbt (data build tool) used to transform data inside cloud warehouses. dbt Cloud exposes a set of APIs for managing accounts, projects, jobs, and runs programmatically (Administrative API), inspecting project metadata (Discovery API), and querying governed metrics (Semantic Layer API).

agent ready

Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.

Kin Score

API Evangelist profiles dbt the way a machine reads it — 39 machine-readable artifacts across 7 APIs, 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 — dbt scores 63.8/100 (strong), with a separate agent-readiness read of 48/100 (agent ready). 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.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 63.8/100 · strong
Contract Quality 17.5 / 25
Developer Ergonomics 7.8 / 20
Commercial Clarity 15.8 / 20
Operational Transparency 4.8 / 13
Governance 7.9 / 12
Discoverability 10.0 / 10
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
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

How we profile dbt

Each block below is one kind of artifact we hold for dbt. 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 7

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.

dbt Accounts API

The Accounts API from dbt — 1 operation(s) for accounts.

dbt Environments API

The Environments API from dbt — 1 operation(s) for environments.

dbt Jobs API

The Jobs API from dbt — 1 operation(s) for jobs.

dbt Metadata API

The Metadata API from dbt — 1 operation(s) for metadata.

dbt Metrics API

The Metrics API from dbt — 1 operation(s) for metrics.

dbt Projects API

The Projects API from dbt — 2 operation(s) for projects.

dbt Runs API

The Runs API from dbt — 4 operation(s) for runs.

Scroll within the panel for all 7 ·

Postman Collections 3

A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.

Ready-to-run Postman collections for exercising this provider's APIs.

Open Collections 3

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).

Arazzo Workflows 13

Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.

Multi-step API workflows described with the Arazzo specification.

dbt Cloud Account, Project and Job Inventory

Walk from the first account to its projects to its jobs to build a hierarchy snapshot.

ARAZZO

dbt Cloud Bootstrap From Account to First Run

Resolve account, project and environment, create a job, and trigger its first run.

ARAZZO

dbt Cloud Create Job and Run It

Create a new job in a project environment, then immediately trigger a run of it.

ARAZZO

dbt Cloud Create, Run, Poll and Collect Artifacts

Create a job, trigger it, poll the run to success (status 10), and list artifacts.

ARAZZO

dbt Cloud Environment-Scoped Job Run

Pick an environment, create a job in it, and trigger the job's first run.

ARAZZO

dbt Cloud Find Job and Trigger Run

List jobs in an account, fetch the job's configuration, then trigger a run of it.

ARAZZO

dbt Cloud Job Run History and Latest Artifacts

List runs, read the most recent run, and fetch its artifacts when it succeeded.

ARAZZO

dbt Cloud Provision a Job in a Project Environment

Resolve a project and one of its environments, then create a job bound to both.

ARAZZO

dbt Cloud Re-run the Latest Failed Run

Inspect the most recent run, and if it failed, re-trigger its job.

ARAZZO

dbt Cloud Get Run and Fetch Its Artifacts

Read a run, branch on whether it succeeded, and list its artifacts only on success.

ARAZZO

dbt Cloud Run Completion to Metadata Discovery

Confirm a run succeeded, then query the Discovery API for the models it produced.

ARAZZO

dbt Cloud Run Completion to Semantic Layer Metrics

Confirm a run succeeded, then query the Semantic Layer API for available metrics.

ARAZZO

dbt Cloud Trigger Run and Poll to Completion

Trigger a dbt Cloud job run, poll the run until it succeeds, then list its artifacts.

ARAZZO

Scroll within the panel for all 13 ·

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.

dbt GraphQL API

Every time dbt Cloud runs a project, it generates and stores information about the project. The Discovery API exposes that metadata including details about models, sources, expo...

GRAPHQL

Pricing 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 six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Dbt Plans Pricing

3 plans

PLANS

Rate 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.

Dbt Rate Limits

5 limits

RATE LIMITS

FinOps 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.

Dbt Finops

FINOPS

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

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

Dbt Context

6 classes · 10 properties

JSON-LD

Spectral Rules 2

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

dbt API Rules

5 rules · 1 errors · 4 warnings

SPECTRAL

dbt API Rules

5 rules · 4 warnings

SPECTRAL

JSON Schema 2

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

dbt Cloud Job

12 properties

JSON SCHEMA

dbt Cloud Run

13 properties

JSON SCHEMA

Security 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.

Dbt Authentication

http · 1 scheme

SECURITY

Dbt Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Dbt Trust Center

SOC 2, ISO 27001, ISO 27017, ISO 27018, HIPAA, FedRAMP, GDPR

SECURITY

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.

Dbt Agentic Access

12 operations · 4 acting

12 operations · 4 acting

AGENTIC

Resources

Every other property we hold for dbt — 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.

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 3

SDKs, sample code, and the tooling you integrate with

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/dbt · machine-readable index on apis.io