{"id":"integuru-ai-integuru","name":"Integuru","af_score":27.8,"security_score":43.5,"reliability_score":20.0,"what_it_does":"Integuru is a local Python CLI/agent that reverse-engineers web platform actions from a user-captured HAR file. It generates a dependency graph of browser network requests (and cookie-based session usage) and can output runnable Python code that calls the platform’s internal endpoints to reproduce the desired action.","best_when":"You have permission to automate the target platform, can capture representative network traffic (HAR) and session cookies after any 2FA, and you need a one-off or short-lived integration prototype.","avoid_when":"You need a stable long-term integration contract, require formal API guarantees, or cannot safely store/process cookies and HAR data; also avoid where reverse engineering may violate terms or law.","last_evaluated":"2026-03-29T15:00:08.467419+00:00","has_mcp":false,"has_api":false,"auth_methods":["OpenAI API key via OPENAI_API_KEY environment variable","Target platform authentication via browser session cookies stored in cookies.json (after manual login/2FA)"],"has_free_tier":false,"known_gotchas":["Requires a correct HAR capture and valid cookies.json/session artifacts; outdated cookies will break flows.","If the target platform uses dynamic tokens/anti-bot measures, the generated internal calls may fail intermittently.","Generated code depends on reverse-engineered internal endpoints that may change without notice.","2FA workflows are not automated; user must complete 2FA manually and provide resulting cookies/tokens."],"error_quality":0.0}