Stipple — AI Text Detection

sh.stipple由 stipple.sh 发布官方发布者v0.1.7更新于 Nov 2, 2026

Is this prose AI-written? A probability with the tells behind it. Free to start, no key.

发布方自己的服务：Stipple - Government Tenders and Grants

已验证Streamable HTTP可网页运行知识与记忆 AI 与机器学习

服务详情

标识符: sh.stipple/openwarrant-aitext
传输: Streamable HTTP
运行时: Web executable
信任: Verified
发布于: Sep 16, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此服务的命名空间属于 stipple.sh，且该域名同时运行其端点。这可以确认发布者，但并不代表该服务的工具是安全的。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/sh.stipple%2Fopenwarrant-aitext.svg)](https://sourceweft.com/mcp/sh.stipple%2Fopenwarrant-aitext?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

Stipple 的托管 MCP 服务器提供 detect_ai_text 工具，用于估计一段文字由 AI 生成的概率，并给出判断依据的语言特征。

可以做什么: 估计文本是否由 AI 生成，返回概率以及支撑该判断的语言特征，遇到非散文内容时会弃权。
提交论文、求职信、文章、评论、申请或报告，或提供其链接，询问是否为 AI 所写。
同一托管服务器还提供文档真伪检查、字段提取、身份与背景筛查、招标搜索和参考文献核验，但本条目仅声明了 AI 文本检测工具。
适用场景: 适合在有人分享一段文字并询问它是否由 AI 或人类撰写时使用，例如审阅投稿、申请材料或已发表文章。它给出的是基于文风的信号，而非定论。
运行要求: 需要连接 stipple.sh 的 www 主机上的远程 Streamable HTTP 端点；匿名免费额度无需安装、注册或 API 密钥。可选免费 API 密钥可通过 Authorization Bearer 请求头发送，以获得独立额度。

安装前请注意

结果是基于文风的概率，并非作者身份的证明，不应视为校准过的真相，也不应作为针对某个人的唯一判断依据。提交文档会把文本发送给第三方服务；相同内容会按哈希缓存。同一服务器上的部分其他工具被描述为付费。

安装

在 SourceWeft 中

打开控制台中的 Stipple — AI Text Detection，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/sh.stipple%2Fopenwarrant-aitext/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "stipple-ai-text-detection": {
      "type": "http",
      "url": "https://www.stipple.sh/mcp-aitext"
    }
  }
}

README

Stipple MCP server

Documents in. Answers your agents can act on.

Stipple is a hosted MCP server for document work: forensic authenticity signals, structured field extraction, Australian identity checks, adverse-media and sanctions screening, AU/NZ government tender search, AI-written-text detection, and citation verification for research reports.

No install, no signup — an anonymous free tier works immediately.

Connect

Or in any MCP client config:

Endpoint: https://www.stipple.sh/mcp (Streamable HTTP)
Always the www. host — the apex domain redirects, and a POST through the redirect fails for non-browser clients.
Auth: none required. An optional free API key (POST /v1/keys) gives a private credit allowance; send it as Authorization: Bearer stp_....

Tools (13)

Tool	What it does	What it is NOT
`verify_document`	Forensic authenticity inspection of a PDF/image (URL or base64): `risk_band` + `inspection_quality` + evidence	A fraud verdict — it is a signal with the evidence behind it
`extract_fields`	Structured fields from a document: ad-hoc field lists, templates (payslip, tax invoice, bank statement, receipt, contract), tables, per-value grounding, redaction, layout, chunking, splitting	A judgment — values are what the document shows; absences come back in `not_found`
`verify_identity`	Australian identity check over a document set: AFP 100-point or AUSTRAC safe-harbour, with exactly what is missing	A forgery check — pair with `verify_document`
`check_pack`	Does a document set satisfy a checklist (named scheme or ad-hoc requirements)?	Approval — presence of the right types, not genuineness
`screen_adverse_media`	Adverse media + corroboration-gated sanctions/PEP screening of a person or organisation	A determination — "review", never "guilty"; "nothing found" is not a clean record
`find_tenders`	Free. Search open AU/NZ government tenders	—
`match_tenders`	Rank open tenders against what a company's own website says it does, with `why[]` and `gaps[]`	A win probability
`tender_sources`	Free. Where tender data comes from, and why a search can be empty	—
`detect_ai_text`	Probability a document's prose is AI-written, with the linguistic tells; abstains on non-prose	Calibrated truth — and style, not authenticity
`verify_references`	For a report: citations resolve and match, internal arithmetic recomputes, unsupported claims flagged	A truth verdict — it reports verification coverage
`check_document`	Has this exact file (sha256) been inspected already? Skips a paid call	—
`get_warrant`	Fetch a stored result bundle (JSON or Markdown)	—
`submit_feedback`	Thumbs up/down on a rating	—

Prompts (8)

Guided workflows shipped with the server: Verify a document's authenticity · What kind of document is this? · Run a 100-point identity check · Screen a person for adverse media · Find tenders my company could bid for · Was this written by AI? · Fact-check a report URL · Fact-check pasted text.

How results read

Every inspection reports two independent axes: risk_band (how authentic the document looks) and inspection_quality (how completely it could be inspected). A clean phone photo of a real payslip is commonly low risk + limited quality — "nothing looks tampered, but we couldn't read everything". Low coverage is not risk.

Identical documents are cached by content hash — resubmitting the same bytes returns the stored result instantly and free.

Credits

Anonymous callers share a free weekly allowance per IP. A free API key gets its own allowance and metering. Tender search and source listing cost nothing. Details: stipple.sh/pricing.

Also available

REST API — the same engines at /v1/*; OpenAPI contract at /openapi.json
Agent docs — /agents.md (short form /llms.txt)
Scoped servers — /mcp-aitext (AI-text detection only) and /mcp-verify (reference verification only), for installs that want a single tool

Operated by Stipple AI Pty Ltd · Privacy · Terms

来源：README.md，提交 b0cc70c

工具

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.

输入参数urltextfilenamebytes_b64