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The Hebbian Robotics Data Quality API turns Physical AI footage into queryable measurements. Use it to build quality-control workflows, compare dataset coverage and composition, find collection gaps, and make evidence-based decisions about footage intended for training. The service returns measurements rather than a universal score or verdict. You choose the thresholds and actions that fit your capture setup.

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Start here

1. Authenticate

Authenticate for a bearer token.

2. Make a request

List your datasets and retrieve available measurements.

3. Understand metrics

Learn what each measurement means and how to act on it.

4. Browse endpoints

Official API reference.

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Endpoints

See Quickstart to get started or browse the complete API reference. Understand quality metrics defines response conventions; Build a quality-control check shows how to combine selected measurements without prescribing your acceptance policy.
The API reference is generated from the live OpenAPI 3.1 contract. If a guide and the reference differ, follow the reference.