Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,071Paid calls: 1,539Letters: 14Defects: 1,323counted 4 min ago
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Server definition

Hash
sha256:21f2234eb8b47a3458b059cd2593a004793a336247ee8599523b19e9e93fbcde
What it is
What a remote MCP server returned when asked what it offers: 1 tools

The blob, as servednamed by its sha256

{ "instructions": "Free to use: 20 checks a week without an account, 100 with an API key or a signed-in account. AI-text detection. Works immediately — no key or signup to start, and free within the weekly cap above. detect_ai_text estimates the probability prose was LLM-written and returns the specific linguistic tells behind the score. Cheapest call: pass pasted `text` or a public `url` string. The probability is a confidence signal, not proof, and the tool abstains (applicable=false) on forms/tables/scans where style detection is unreliable. For document forensics (tampering, fake payslips) use the /mcp server; for citation fact-checking use /mcp-verify.", "tools": [ { "description": "Estimate the PROBABILITY that a document's text was AI-GENERATED (LLM-written prose).\n\n USE THIS WHEN someone shares prose — an essay, cover letter, article, review, application,\n or report (or a link to one) — and asks: did an AI / ChatGPT write this? is this\n human-written? detect AI text.\n\n Provide the document ONE way: `text` (pasted markdown/plain prose), `url` (a public http(s)\n link to a page or PDF — fetched server-side, the cheapest call), OR `bytes_b64` (a base64\n PDF/file, plus `filename` for routing). Returns\n `{probability, lean, tells, reasoning, applicable}`.\n\n HONEST SCOPE: the probability is the model's CONFIDENCE, not a calibrated truth — it can\n false-flag templated/coached or non-native-English writing. It works on PROSE only: for a\n form/table/numeric document (payslip, statement) it returns `applicable: false` and abstains,\n because AI-text detection false-positives badly there — use `verify_document` (the\n authenticity engine) for those, and `verify_references` to check a doc's citations/claims.\n ", "inputSchema": { "properties": { "bytes_b64": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Bytes B64" }, "filename": { "default": "document.pdf", "title": "Filename", "type": "string" }, "text": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Text" }, "url": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Url" } }, "title": "detect_ai_textArguments", "type": "object" }, "name": "detect_ai_text", "outputSchema": { "additionalProperties": true, "title": "detect_ai_textDictOutput", "type": "object" } } ] }
Verify it yourselfcurl -s https://api.teppi.xyz/v1/evidence/sha256:21f2234eb8b47a3458b059cd2593a004793a336247ee8599523b19e9e93fbcde | sha256sum