dbt Cloud
dbt Cloud is the analytics-engineering platform from dbt Labs for transforming data in the warehouse. It exposes the Administrative API for managing accounts, projects, jobs, runs, and environments, the Discovery (Metadata) API for project metadata and lineage via GraphQL, and the Semantic Layer API for querying governed metrics over GraphQL and JDBC.
dbt Cloud publishes 5 APIs on the APIs.io network, including Accounts API, Jobs API, Projects API, and 2 more. Tagged areas include Data, Analytics Engineering, Data Transformation, ELT, and Semantic Layer.
dbt Cloud’s developer surface includes authentication, documentation, and 9 more developer resources.
Kin Score
APIs 7
Individual APIs this provider publishes, each with its own machine-readable definition.
dbt Cloud Discovery (Metadata) API
GraphQL API for fetching metadata about the state and health of a dbt project - models, sources, tests, exposures, lineage/DAG, and execution results - queried with a Metadata O...
dbt Cloud Semantic Layer API
APIs for querying governed metrics and dimensions defined in the dbt Semantic Layer - a GraphQL API and a JDBC driver (ArrowFlight SQL) - with standard metadata functionality, a...
dbt Cloud Accounts API
Account configuration and details.
dbt Cloud Jobs API
Job definitions and triggering of job runs.
dbt Cloud Projects API
dbt projects within an account.
dbt Cloud Run Artifacts API
Artifacts (manifest, catalog, run results) produced by runs.
dbt Cloud Runs API
Job run history, status, and lifecycle.
Scroll for all 7
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
dbt Cloud Administrative API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Dbt Cloud Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Dbt Cloud Finops
FINOPSSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
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 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API