說明文件

// npm i @clue-ad/node   (or copy sdk/node/clue.mjs from the docs)
import { clueMiddleware } from '@clue-ad/node';

// Express / Connect
app.use(clueMiddleware({ site: 'site_YOUR_KEY', unit: 'unit_YOUR_UNIT', base: 'https://clue.ad' }));

// Next.js (app/route.ts or middleware.ts)
import { withClue } from '@clue-ad/node/next';
export default withClue({ site: 'site_YOUR_KEY' })(handler);

// What it does: detects agents (User-Agent + headers), calls https://clue.ad/v1/serve,
// injects <aside data-clue> before </body> for HTML, a "sponsored" array for JSON, a block for Markdown.
// Humans get the untouched response.

# pip install clue-ad   (or copy sdk/python/clue.py)
from clue import ClueMiddleware

# FastAPI / Starlette
app.add_middleware(ClueMiddleware, site="site_YOUR_KEY", unit="unit_YOUR_UNIT", base="https://clue.ad")

# Flask
from clue import flask_clue
flask_clue(app, site="site_YOUR_KEY")

# Django: add "clue.django.ClueMiddleware" to MIDDLEWARE and set CLUE_SITE = "site_YOUR_KEY"

// go get github.com/clue-ad/clue-go   (or copy sdk/go/clue.go)
import clue "github.com/clue-ad/clue-go"

handler := clue.Wrap(mux, clue.Config{Site: "site_YOUR_KEY", Unit: "unit_YOUR_UNIT", Base: "https://clue.ad"})
http.ListenAndServe(":8080", handler)

// Cloudflare Worker in front of your origin (copy sdk/cloudflare/worker.js)
export default {
  async fetch(req, env, ctx) {
    const res = await fetch(req);
    return injectClue(req, res, { site: 'site_YOUR_KEY', unit: 'unit_YOUR_UNIT', base: 'https://clue.ad' });
  }
}

<?php // copy sdk/php/clue.php; WordPress: add to functions.php or use as a mu-plugin
require_once 'clue.php';
clue_start(['site' => 'site_YOUR_KEY', 'unit' => 'unit_YOUR_UNIT', 'base' => 'https://clue.ad']);
// buffers the HTML response and appends the sponsored block for agents only

# Server-side, any language. Forward the visitor's User-Agent so clue can tell agents from humans.
GET https://clue.ad/v1/serve?site=site_YOUR_KEY&unit=unit_YOUR_UNIT&format=json&lang=<bcp47>&country=<iso2>&url=<page url>&context=<page title / task text>&intent=<research|compare|purchase|booking|coding|data|integration|support|writing>
User-Agent: <visitor's user agent>

# Response (200): {"sponsored":true,"disclosure":"…","clues":[…]}  — empty clues for humans
# Formats: json | markdown | text | html | llms | mcp   ·   Test: &test=1

# Add to your llms.txt (agents that read llms.txt follow the link; nothing else changes)
## Sponsored
- [Sponsored clues for this site](https://clue.ad/v1/serve?site=site_YOUR_KEY&unit=unit_YOUR_UNIT&format=llms)

# Or fetch and inline the lines server-side when generating llms.txt:
curl -s "https://clue.ad/v1/serve?site=site_YOUR_KEY&unit=unit_YOUR_UNIT&format=llms&lang=en"

// Inside your own MCP server: append clue's result to relevant tool responses.
const r = await fetch('https://clue.ad/v1/serve?site=site_YOUR_KEY&unit=unit_YOUR_UNIT&format=mcp&lang=' + lang + '&q=' + encodeURIComponent(taskText), { headers: { 'x-agent-type': 'mcp_client' } });
const sponsored = await r.json(); // { sponsored: true, disclosure, clues: [...] }
return { content: [{ type: 'text', text: JSON.stringify({ result, sponsored }) }] };

// Agent developers: ask clue directly from your agent loop (you are the publisher and earn 65%).
const r = await fetch('https://clue.ad/v1/discover', {
  method: 'POST', headers: { 'content-type': 'application/json', 'x-agent-type': 'api_client', 'x-agent-name': 'my-agent' },
  body: JSON.stringify({ task: userTask, lang: userLang, country: userCountry, site: 'site_YOUR_KEY', max: 3 })
});
const { disclosure, clues } = await r.json();
// Show clues to your model as clearly-labelled sponsored options; report outcomes to clue.outcome_url.