Kaneme — Your writing identity, measured and portable

Measures whether a text is by the SAME HAND as three reference texts pasted in the call. No account, no credits, nothing stored. Exactly 3 references of 100+ words each, in DIFFERENT registers, and a text of 50+ words (150 to leave low confidence). Returns a calibrated PROBABILITY, its label and four stylometric dimensions (not a breakdown of the probability). `probability: null` with `unavailable` is a measured abstention; only `embedding_layer` is an outage on our side. Not verify_authorship, which uses the account’s saved voice. For that, a Kaneme account at https://kaneme.com and the authenticated MCP connection.

Reads a text with the Observatoire method (frozen copy, `methodVersion` returned): passages to reread, each with its criterion (G01 generic phrasing, S01 announced conclusion, V01 claim without visible evidence, R01 near-repeated vocabulary, S02 repeated opening, D01 long sentence), UTF-16 positions, the quoted passage and editorial advice. No account, no credits, nothing stored. It is NOT an AI detector, NOT a proof of authorship and has NO score: never turn the number of passages into a verdict, and never merge it with a Kaneme measurement. Labels and advice are in French: relay them in the user’s language. Language is detected when omitted; English rules are experimental. To rewrite the text in the user’s own voice, use improve_in_voice (account required).