One career profileshared across agents, products, and enterprise systems
ProfileClaw is more valuable when multiple systems can call the same structured profile. Users stop repeating themselves, and systems stop rebuilding the same person from scratch.
Every system re-collects the same person's data
Assessed on platform A, resume on platform B, background re-entered on system C. Data breaks across products and your profile is always fragmented.
A career data foundation shared across systems
Four assessment types, resume history, skill tags, and preference settings stored in a unified structure — authorized products and agents can call it directly.
Different products, same profile
OpenClaw screening opportunities, enterprise ATS matching candidates, partners recommending projects — all reading the same ProfileClaw data.
Four Ecosystem Roles
One data layer can support different products and business scenarios. Each role starts from the same underlying profile.
OpenClaw agents
When OpenClaw searches jobs or screens freelance opportunities, it reads your interest structure and skill tags instead of guessing from conversation.
Developers and product teams
Embed ProfileClaw data into your applications through the Context API. The same profile can support course recommendations, matching, and workflow logic.
Enterprises and recruiting systems
With candidate authorization, structured profiles can plug into ATS screening and talent review workflows. ProfileClaw already handles the path from collection to modeling.
Partners
Career education providers, bootcamps, and HR tech products can connect through standard interfaces. Users assess once, and the data becomes reusable across the ecosystem.
Ecosystem Network
One profile connecting the entire career ecosystem
Reuse PatternsHow one profile moves across scenarios
ProfileClaw is not a one-time result. It is reusable data that can move across systems.
Agent skill integration
Workflow chaining
Shared profile across products
Agent skill integration
Agents read user profiles through OpenClaw skills or custom plugins. The core interest structure and skill tags are already there.
Workflow chaining
Assessment, report, AI advice, job recommendations, and application can connect into one decision pipeline.
Shared profile across products
View reports on ProfileClaw, explore opportunities on OpenClaw, and get matched by enterprise systems from the same capability snapshot.
Partners We’re Looking For
Agent platforms and AI applications — let agents act with real user context
Recruiting and HR tech — turn fragmented candidate data into comparable structure
Career education and training — recommend courses and growth paths from learner profiles
Automation and workflow tools — call capability and preference data inside orchestration
Flywheel Effect
Every new connected system increases the value of the profile for existing integrations. Users also become more willing to maintain a profile that works everywhere.
More integration surfaces
New agents, products, and enterprise systems start calling the same profile. That makes users more willing to maintain it.
Richer data feedback
Usage patterns from different scenarios validate the structure. Repeated matches show which dimensions are modeled well.
Higher platform value
More connected systems mean each profile serves more scenarios. The edge comes from ecosystem-level data network effects, not one isolated feature.
Start from the right entrypointPick the path that fits your role
Developers can start with the Context API. Enterprises can start with a partnership plan. Agent builders can start with OpenClaw skills.