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Stipple — AI Text Detection

sh.stipple/openwarrant-aitext
KI & Agenten Öffentlich und erreichbar MCP 2025-11-25

Was dieses MCP kann

Estimates whether supplied prose was generated by AI and reports supporting indicators.

detect_ai_text
Detect AI-written prose
Estimate the PROBABILITY that a document's text was AI-GENERATED (LLM-written prose). USE THIS WHEN someone shares prose — an essay, cover letter, article, review, application, or report (or a link to one) — and asks: did an AI / ChatGPT write this? is this human-written? detect AI text. Provide the document ONE way: `text` (pasted markdown/plain prose), `url` (a public http(s) link to a page or PDF — fetched server-side, the cheapest call), OR `bytes_b64` (a base64 PDF/file, plus `filename` for routing). Returns `{probability, lean, tells, reasoning, applicable}`. HONEST SCOPE: the probability is the model's CONFIDENCE, not a calibrated truth — it can false-flag templated/coached or non-native-English writing. It works on PROSE only: for a form/table/numeric document (payslip, statement) it returns `applicable: false` and abstains, because AI-text detection false-positives badly there — use `verify_document` (the authenticity engine) for those, and `verify_references` to check a doc's citations/claims.
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Eingabeschema
{'type': 'object', 'title': 'detect_ai_textArguments', 'properties': {'url': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Url', 'default': None}, 'text': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Text', 'default': None}, 'filename': {'type': 'string', 'title': 'Filename', 'default': 'document.pdf'}, 'bytes_b64': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Bytes B64', 'default': None}}}
Ausgabeschema
{'type': 'object', 'title': 'detect_ai_textDictOutput', 'additionalProperties': True}
Hinzugefügt
detect_ai_text
17. September 2026 12:55

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