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Probe live APIs and explain failures with root causes and confidence.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "qa-probe" yet — see the docs or source repo.
Use qa-probe to scan my live API, classify why each endpoint failed, and output the root cause, evidence, and confidence; prioritize 5xx, 4xx, timeouts, and auth failures.
A per-endpoint failure breakdown with evidence and confidence to speed up debugging.
I just deployed a FastAPI service. Use qa-probe to verify the key endpoints and flag any abnormal responses with likely root causes and evidence.
A post-deploy health report showing which endpoints are abnormal and why.
Run a qa-probe diagnosis on my Express, Next.js, and GraphQL endpoints, and identify whether routing, resolvers, tRPC, or middleware caused the failures.
Cross-framework failure attribution that points to the exact failing layer.
Audit MCP servers for conformance and generate scores with Markdown reports.
Inspect and score MCP servers for publishability, schema, and protocol readiness.
Create Evidence reports and dashboards by querying schemas, docs, pages, and code.
Evaluate MCP retrieval servers for quality, coverage, and citation integrity.
Scan MCP server configs for injections, secrets, and dangerous commands.
Retrieve GodPrompt prompt modules and classify AI development tasks progressively.