ProfileClaw 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 career context and decide exactly which agent or service can read it.
Users can explore career assessments, record their work style and preferences, and authorize access to that context through REST or MCP interfaces. Access controls let users grant and revoke permission per agent, so context is only shared where it was explicitly allowed.
ProfileClaw is designed for people who work with AI assistants daily and want their agent to carry accurate career context into tasks such as writing, planning, or job-related research. It also fits teams experimenting with agent-ready personal data.
Core features are free. AI credits and additional paid features cover heavier usage, so the pricing model is freemium.
Boundaries are stated clearly: ProfileClaw is not a clinical assessment and not a verified hiring test. Self-reported information is not the same as verified skills, and the product does not claim otherwise. The site does not publish employee counts, revenue, funding, or office address details. Users remain in control of their data at all times and can remove shared context whenever they want. Access can be reviewed and changed at any time from the account settings.
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