More than an assessment toolA career data platform
ProfileClaw organizes assessments, resumes, preferences, and capability signals into three layers: data, intelligence, and application. Reports, agents, and enterprise systems all work from the same profile.
Capabilities scattered, data siloed
RIASEC assessment here, resume there, AI analysis in yet another product. Every tool switch means re-introducing yourself from scratch.
A unified career data foundation
Four assessment types, resume parsing, skill tags, and preference settings in one structured profile — collected once, available long-term.
One profile, multiple output forms
Personal reports, AI Advisor, OpenClaw agents, and enterprise APIs all draw from the same data — no repeated collection.
Three-Layer ArchitectureCollect → Analyze → Deliver
Data enters the base layer first. The intelligence layer analyzes fit and direction, and the application layer delivers results to users, agents, and enterprise systems.
Data Layer
Intelligence Layer
Application Layer
Data Layer
Assessment results, resume parsing, and preference settings form a continuously updated structured profile. This layer stores long-term records, not one-time reports.
Intelligence Layer
This layer runs role-fit scoring, career pivot risk assessment, and path recommendations on structured data. Every conclusion traces to specific signals.
Application Layer
Individuals get readable reports, developers call profile data through the Context API, and enterprise work uses the live API surface plus project-based integration support.
Core Capabilities
A platform lets one profile work across products, agents, and systems.
Structured modeling
Interests, personality, values, skills, and resume data live in one queryable profile. The same profile can support reports, AI advice, and matching.
Explainable reasoning
Every recommendation cites its data source. Suggestions come from visible signals, not black-box guesses.
Multi-surface delivery
The same data powers personal reports, AI Advisor conversations, OpenClaw agent exploration, and developer API calls.
Permissions and boundaries
Your career data is only accessible after authorization. Every access has clear permission boundaries and audit trails.
Platform Capabilities
One profile, multiple output forms
Three Ways to Use the Platform
Different roles start from the same profile.
Individuals: build a profile, view reports
Start with the four assessments, then unlock resume parsing and the comprehensive report when needed.
AI and agents: read the profile, run analysis
Pull aggregated career data through the Context API. OpenClaw can screen from real interest structure and skill tags instead of guessing from conversation.
Enterprises: connect data, embed in workflows
Enterprise integration is still in progress. Today the safer path is to evaluate recruiting or talent-review scenarios through the live API surface and project delivery.
Platform Governance Principles
You own your career data — viewable, exportable, deletable
Every API call respects explicit permission boundaries; unauthorized fields are never read
AI output must trace back to structured data sources; black-box conclusions are not allowed
The same assessment data should not be collected twice by different systems
Authorized products should reuse the same profile instead of creating parallel copies
See the platform in practiceStart with docs or ecosystem scenarios
Developers can start with the docs page for Context API usage. Enterprises and partners can start with the ecosystem page.