ProfileClaw is a career-context platform that turns self-reported assessments and career preferences into permissioned context for AI agents. Instead of re-explaining your background to every assistant, you keep one structured, consent-driven profile that agents can read only when you allow it.
Users fill out career assessments describing their skills, goals, and working preferences. ProfileClaw organizes these self-reported answers into structured context that can be shared with AI agents under explicit, revocable permissions, so an agent only ever sees what the user chose to expose.
Access is available through REST or MCP interfaces. Agents and integrations can read an authorized context programmatically, and access controls govern what each reader is allowed to see, keeping sensitive career details behind the user's own consent.
The product is explicit about its boundaries: it is not a clinical assessment and not a verified recruiting test. Self-reported information is never presented as a verified skill, and nothing on the platform implies that an employer has validated the answers.
Basic features are free to use. AI credits and paid plans are available for heavier usage, so casual users can maintain and share their context without paying, while power users get more automation capacity.
