# Laminar Evaluations API

**Canonical:** https://apis.io/apis/laminar/laminar-evaluations-api/  
**Provider:** Laminar — https://apis.io/providers/laminar/  
**Base URL:** https://api.lmnr.ai  
**Documentation:** https://laminar.sh/docs/evaluations/manual-evaluation

Laminar Evaluations API is one of 3 APIs that [Laminar](https://apis.io/providers/laminar/) publishes on the [APIs.io](https://apis.io/) network. Tagged areas include Evaluations, Datasets, and Scoring. The published artifact set on APIs.io includes API documentation and an API reference.

The lower-level LaminarClient.evals surface for wiring evaluations into an existing pipeline: create an evaluation, pre-register each datapoint so a row is visible in the UI before the executor runs, then update that datapoint with a trace id, executor output, and scores. Because update can be called any time after create, the executor and the scorer can run in different processes, which supports async LLM-judge scoring and pure backfills of scored rows.

## Machine-readable artifacts (2)

- **Documentation** — https://laminar.sh/docs/evaluations/manual-evaluation
- **APIReference** — https://laminar.sh/docs/sdk/client

## Other Laminar APIs (2)

- [Laminar SQL Query API](https://apis.io/apis/laminar/laminar-sql-query-api/)
- [Laminar OpenTelemetry Trace Ingest API](https://apis.io/apis/laminar/laminar-otlp-trace-ingest-api/)

## Tags

Evaluations, Datasets, Scoring

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/apis/laminar/laminar-evaluations-api/). The API's provider profile, Kin Score and agent-readiness rating are at https://apis.io/providers/laminar/.