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Most teams document less than a third of their API surface. The rest of the undocumented operations, missing descriptions, breaking changes, and deprecated fields ship silently to production. Dino is an API Quality Intelligence Platform, the quality layer for APIs. It gives humans and agents the judgment of a world-class quality engineer across security, correctness, documentation, and lifecycle.

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What Dino does

Scan & analyze

Run the full quality pipeline against your GraphQL or REST API. Nineteen REST fuzz strategies, schema validation, auth boundary testing, health scores: one command (dino scan).

Diff & changelog

Track every schema change between deploys. Catch breaking changes before they reach consumers.

Document

Generate API reference docs from your live schema. Fill in what your team forgot to write.

Watch & govern

Run scheduled scans with Shadow Mode. Start observing, graduate to enforcing.

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Capabilities

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What makes Dino different

Every run produces the same results for the same input. No flaky results, no AI hallucinations in the core pipeline: the engine is deterministic, with optional AI reasoning layered on top.
Same catalogue, same health model, same reporting: one CI gate whether your surface is introspected GraphQL or OpenAPI-backed REST.
Body, path, query, HTTP method, Content-Type, schema corners, and headers including auth-bypass strings, host and IP spoofing headers, and CORS probes. GraphQL retains the full input-fuzzer and response-validator coverage you already rely on.
Every operation × every auth state from your tenant roles is automated, with auto-skip when auth is not configured, so you do not get noisy false positives.
Start in observe mode (report only), graduate to enforce (fail the build). Your team controls the pace.

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Who it’s for

  • Backend teams shipping APIs without dedicated QA, Dino is the quality intelligence you do not have to hire.
  • Platform engineers managing dozens of internal APIs catch breaking changes across services.
  • API-first companies where the API is the product, documentation gaps are revenue gaps.

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Next steps

Quick Start

Run your first scan in under 5 minutes.

Architecture

How the scan pipeline, agents, and deterministic engine work together.