Sentinel Signal

Run a lightweight audit of whether AI assistants, crawlers, and software agents can discover and use a public website.

Audit an OpenAPI spec for AI-agent tool readiness and get findings on operation design, schema quality, risk, and safety.

Score how easy a domain is for AI agents to discover, understand, access, cite, and interact with, across six weighted, evidence-backed categories.

Upload a web access log to discover AI crawlers, AI-user sessions, likely agents, and route-level behavior.

Enter a domain and see which major AI crawlers its robots.txt allows or blocks.

Get a complete AI-readiness and machine-discoverability audit of a website in one run.

Find admin, internal, billing, debug, and operator surfaces that an OpenAPI spec may expose publicly.

Discover public API surfaces on a domain and diff them against a prior snapshot to detect meaningful exposure changes.

Check robots.txt AI-crawler access across up to 100 domains in one run.

Score up to 100 domains for AI-agent readiness in one run.

Discover a domain's likely developer portal, API documentation, OpenAPI/Swagger spec, SDK docs, GitHub, and status page.

Check whether a site publishes usable llms.txt files and identify broken structure, sections, or links.

Enter a public MCP endpoint and get a deterministic audit of tools, risky capabilities, protocol behavior, and readiness.

Compare two OpenAPI specs and identify breaking, non-breaking, and noteworthy API contract changes.

Extract JSON-LD, schema.org types, OpenGraph, and microdata from a public page for machine-readable consumption.

Capture a normalized page snapshot now and produce a deterministic evidence-grade diff when it changes later.