/product

One profile,structured for every agent

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get_context · Claude CodeWhat fits me — analyst or designer?

profile · assessments

Career brief — Maya Chen

RIASEC A+S high; values: autonomy 4.6, impact 4.1. Top fits: UX research, product design.

Dimension deltas since last quarter

Research rotation prompted a new reflection; both results keep their original questionnaire version.

Constraints & preferences

Remote-first, no on-call, teams ≤ 8. Consent scope: profile + assessments only.

Sample profile read — demo data

Read by

agent clients your users already run

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Claude

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ChatGPT

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Gemini

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Cursor

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OpenClaw

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DeepSeek

Outputs purpose-built for your agents

Structured signals your agent can call, cite, and trust.

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R 3.9 · I 4.1 · A 4.4

S 2.8 · E 3.4 · C 2.9

18/18 answered

Dimension scores

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Led the migration of a 12-service checkout platform.

evidence:read

Evidence trail

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Remote-first · no on-callPrefers teams ≤ 8

Constraints & preferences

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{ "riasec": { "artistic": 4.4,

"investigative": 4.1 },

"answered": "18/18",

"schemaVersion": "1.0" }

Structured JSON

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Career-match signal

Full career profileSingle assessment

78%

Full profile

54%

RIASEC only

47%

Big Five only

31%

Self-report only

Illustrative figures from the ProfileClaw scoring model — full methodology note ships with the API.

Fifteen minutes of assessment,a profile your agents can use.

01

Take the 4-layer assessment

RIASEC · Big5 · Values · Skills

02

Get report and profile

Context preview plus an API-ready packet

03

Plug in your agents

REST API and MCP, ready to call

4 layers·REST + MCP·JSON & Markdown export