Use case — document extraction

Safe auto-accept for document extraction.

Extraction is the cleanest place to prove the loop: independent documents, correctable fields, fast outcomes. Metrx finds the cheapest configuration that holds your critical-field accuracy — and can raise the auto-accept frontier only where the evidence earns it.

What changes
Today

Reviewers re-check every field because you cannot trust the cutoff.

With Metrx

A proven configuration lets low-risk fields auto-accept while critical ones stay guarded.

Today

A cheaper model might hold — but nobody dares test it on live documents.

With Metrx

A randomized trial is designed to run it against a holdout on your traffic, with rollback armed.

Today

You measure quality with raw edit distance and miss the errors that matter.

With Metrx

The acceptance contract weights critical-field errors — not every character equally.

The engine

Two loops, always running.

Optimize loop

Prove a cheaper config

Trial candidate models against a holdout, judged by the critical-field accuracy you set — lowest cost per accepted document, not lowest cost per call.

Assure loop

Guard the frontier

Watch the accepted envelope, re-verify on model releases, and pull the auto-accept threshold back when critical-field errors drift.

Synthetic

Run it as a shadow comparison first: Metrx measures the candidate alongside your current pipeline with no traffic switched, and you see the evidence before anything changes.

Explore a live workspace

Put every workload on its best proven configuration.

Connect a workload, approve an acceptance contract, and let the loops run.

Figures shown in the demo workspace are synthetic. Every number carries its provenance.