CognetivyCognetivy is an open-source state layer for AI coding assistants that adds workflows, run tracking, and persistent collections - all local.
API & Integration Research
Systematically evaluate and document API integrations before you build.
Evaluating a third-party API requires reading docs, checking rate limits, testing auth flows, reviewing changelog history, and assessing community support. Define a reusable workflow your agent runs against any API, producing a structured evaluation report every time.
What you'll achieve
Standardized evaluation
Every API gets assessed against the same criteria - making comparisons fair and fast.
Reusable across integrations
Run the same workflow for every new vendor - knowledge accumulates in your collection.
Risk-aware decisions
Integration risk is surfaced before you write a single line of integration code.
How it works
A repeatable workflow you define once and run any time.
Define evaluation criteria
Encode your API evaluation rubric as workflow steps: auth, rate limits, SDK quality, changelog health, community.
Read official documentation
Your agent systematically reads the API docs and stores key specs as structured records.
Assess integration risk
Risk factors (vendor stability, breaking change history, support responsiveness) are scored and logged.
Generate integration brief
A structured report covering implementation approach, risk factors, and recommended auth/retry patterns.
Cognetivy features you'll use
Everything you need is already in Cognetivy.
Versioned, reusable step-by-step processes for your agent
Schema-backed data stores that persist and accumulate across runs
Structured outputs saved from any run - downloadable and linkable
Full event log of every agent session, with timing and status
Related use cases
Ready to try?
Set up your first structured workflow in under a minute.