Gentrace
Gentrace was a developer platform for evaluating and testing LLM and AI applications ("evals as infrastructure"). It provided pipelines, datasets, experiments, and test cases so teams could run offline and online evaluations, grade model outputs, track regressions, and observe AI features in production via OpenTelemetry-based instrumentation. The platform shipped a REST API (v4) secured with bearer API keys, first-party Python and TypeScript/Node SDKs, and a documented object model of pipelines, datasets, experiments, and test cases. Gentrace was based in San Francisco and backed by Matrix Partners. The company has since shut down its hosted product, but its OpenAPI specification, SDK packages, and documentation mirror remain publicly available.
Gentrace publishes 4 APIs on the APIs.io network, including Datasets API, Experiments API, Pipelines API, and 1 more. Tagged areas include Company, Artificial Intelligence, LLM, Evaluation, and Testing.
Gentrace’s developer surface includes authentication, documentation, API reference, and 15 more developer resources.
Kin Score
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Gentrace Datasets API
The Datasets API from Gentrace — 2 operation(s) for datasets.
Gentrace Experiments API
The Experiments API from Gentrace — 2 operation(s) for experiments.
Gentrace Pipelines API
The Pipelines API from Gentrace — 2 operation(s) for pipelines.
Gentrace Test Cases API
The Test Cases API from Gentrace — 2 operation(s) for test cases.
Open Collections 5
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONGentrace Datasets API
OPEN COLLECTIONGentrace Datasets Experiments API
OPEN COLLECTIONGentrace Datasets Pipelines API
OPEN COLLECTIONGentrace Datasets TestCases API
OPEN COLLECTIONSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.