Santos Automation
Website intelligence tools for AI agents. Ten pay-per-call tools via x402 micropayments (USDC on Base) — no accounts, no API keys.
README
Santos Website Intelligence API
<p align="center"> <img src="public/assets/santos-eagle.svg" width="140" alt="Santos gold eagle emblem" /> </p>
<p align="center"> <img src="https://img.shields.io/badge/AI-Website%20Intelligence-7c3aed?style=for-the-badge&logo=robot" alt="AI Website Intelligence" /> <img src="https://img.shields.io/badge/Agent-Readiness-2563eb?style=for-the-badge&logo=lightning" alt="Agent Readiness" /> <img src="https://img.shields.io/badge/x402-USDC%20on%20Base-0ea5e9?style=for-the-badge&logo=bitcoin" alt="x402 on Base" /> <img src="https://img.shields.io/badge/Next.js-16-000000?style=for-the-badge&logo=nextdotjs" alt="Next.js" /> </p>
<p align="center"> <strong>Measure whether a public website is discoverable, understandable, callable, and trustworthy for agents.</strong> </p>
┌──────────────────────────────────────────────────────────────┐
│ SANTOS WEBSITE INTELLIGENCE • AI-READY WEB EVALUATION │
│ Discover • Understand • Call • Trust │
└──────────────────────────────────────────────────────────────┘
AI Website Intelligence and Agent Readiness for the agentic web — Quick, Agent Readiness, and browser-rendered Deep audits return structured evidence and prioritized fixes. No account or traditional API key; paid resources use the x402 protocol with USDC on Base.
Highlights
- 🔍 Quick audits for website intelligence and agent-readiness signals
- 📦 Batch audits — up to 50 sites in one flat $0.50 payment
- 🧠 Browser-rendered Deep audits with Chromium, Lighthouse, and axe-core
- 💳 x402-based payments with USDC on Base
- 📡 OpenAPI, MCP, llms.txt, and capability manifest support
Live: API at https://api.santosautomation.com · landing page at https://www.santosautomation.com (same app, two hostnames)
The public site is positioned as Santos Website Intelligence. Its responsive
navigation uses the gold Santos eagle SVG emblem from public/assets.
| Surface | URL |
|---|---|
| Quick Intelligence Audit ($0.015 USDC, synchronous) | GET /api/audit?url=https://example.com |
| Batch Quick Audit ($0.50 USDC flat, up to 50 URLs) | POST /api/audit/batch {"urls": [...]} |
| Agent Readiness ($0.075 USDC, bounded passive assessment) | GET /api/agent-readiness?url=https://example.com&depth=quick |
| Safe Fetch ($0.002 USDC, synchronous) | GET /v1/fetch?url=https://example.com |
| Content Extraction ($0.005 USDC, synchronous) | POST /v1/extract {"url": "https://example.com"} |
| Structured Extraction ($0.08 USDC, synchronous) | POST /v1/extract/structured {"url": "...", "schema": {...}} |
| Feed Parser ($0.003 USDC, synchronous) | GET /v1/feed?url=https://example.com/feed.xml |
| Link Map ($0.003 USDC, synchronous) | GET /v1/links?url=https://example.com |
| Summarizer ($0.033 USDC, synchronous) | POST /v1/summarize {"url": "https://example.com", "focus": "..."} |
| Screenshot & PDF Render ($0.01 USDC, synchronous) | GET /v1/screenshot?url=https://example.com |
| Deep Website Intelligence Audit ($0.225 USDC, async job) | POST /v1/audits {"url": "https://example.com"} |
| Free demos (1/day per IP, shared quota across all demos) | GET /api/audit/demo?url=... · GET /api/agent-readiness/demo?url=... |
| OpenAPI 3.1 | /openapi.json |
| llms.txt | /llms.txt |
MCP server (tools: audit_website_preview, audit_agent_readiness, extract_page_markdown, extract_structured_data, feed_parse, link_map, summarize) |
POST /mcp |
| Service manifest | /api |
| Capability manifest | /capabilities.json |
| Well-known capability manifest | /.well-known/agent-capabilities.json |
| Machine-readable version & contracts | /version |
| Status & changelog | /status · /changelog |
| Sitemap / crawler rules | /sitemap.xml · /robots.txt |
Website Intelligence model
Santos measures four dimensions across completed, applicable checks:
- Discoverable — crawler access, canonical URLs, sitemaps,
llms.txt, documentation, and interface links. - Understandable — structured identity, JSON-LD, semantic HTML, metadata, pricing, and business context.
- Callable — OpenAPI, MCP, capability manifests, typed schemas, stable errors, job endpoints, and x402 where applicable.
- Trustworthy — HTTPS, security headers, accessibility, performance, browser behavior, support, and evidence quality.
The additive website_intelligence_score and website_intelligence fields appear
alongside historical Quick Audit fields. Existing overall_score, category
scores, endpoint paths, capability ids, and payment behavior remain compatible.
Public product pages
- AI Website Intelligence
- Agent Readiness Audit
- Website Intelligence API
- MCP Readiness Checker
- llms.txt Checker
- OpenAPI Readiness Checker
- Agent Readiness Methodology
- Sample Agent Readiness Report
- Learning guides
How agents pay (x402)
GET /api/audit?url=example.com
← 402 · PAYMENT-REQUIRED: <base64 terms: $0.015 USDC · eip155:8453 · payTo · asset>
→ retry with PAYMENT-SIGNATURE: <base64 signed EIP-3009 authorization>
← 200 OK · audit JSON · PAYMENT-RESPONSE: <base64 on-chain receipt>
Protocol: x402 v2 (migrated 2026-07-17; legacy v1 X-PAYMENT clients are no
longer accepted).
Payment settles only after a successful response — a bad URL or unreachable target costs the agent nothing.
JavaScript / TypeScript
import { privateKeyToAccount } from "viem/accounts";
import { wrapFetchWithPaymentFromConfig } from "@x402/fetch";
import { ExactEvmScheme } from "@x402/evm";
const account = privateKeyToAccount(process.env.BUYER_PRIVATE_KEY);
const fetchWithPay = wrapFetchWithPaymentFromConfig(fetch, {
schemes: [{ network: "eip155:8453", client: new ExactEvmScheme(account) }],
});
const res = await fetchWithPay(
"https://api.santosautomation.com/api/audit?url=example.com"
);
const report = await res.json(); // { overall_score, scores, checks, issues, ... }
Working scripts: buy-audit.js (local dev),
buy-live.js (production), and buy-batch.js
(batch). Python example: examples/audit_client.py.
Batch audits (the volume rail)
One flat $0.50 USDC payment audits up to 50 URLs — $0.01/URL at full capacity, ~33% under per-call pricing. Synchronous, deduped, 8-way bounded concurrency, per-URL failure isolation (one bad target returns an error entry, not a failed batch). Settles only when at least one audit succeeds — an all-failure batch is free.
POST /api/audit/batch
{ "urls": ["https://example.com", "https://example.org", ...] }
← 402 · PAYMENT-REQUIRED: $0.50 USDC terms
→ retry with PAYMENT-SIGNATURE
← 200 · { batch_size, succeeded, failed, results: [{url, ok, report|error}] }
Working buyer example: buy-batch.js.
Feed Parser, Link Map & Summarizer
Three synchronous content tools under the same pay-per-success contract:
- Feed Parser —
GET/POST /v1/feed($0.003 USDC): one public feed URL in, normalized JSON out. Detects RSS 2.0, Atom, and JSON Feed through the same SSRF-guarded fetcher as Safe Fetch; returns feed metadata plus up to 50 items (id,title,url,published,summary,author). A non-feed target returns 422 and never settles. Buyer example:buy-feed.js. - Link Map —
GET/POST /v1/links($0.003 USDC): one HTML page in, a categorized link map out — every link (max 200) with a kind (internal or external) plus topic tags (docs, pricing, api, careers, social, feed) and per-category counts. A site-discovery step, not a crawler. Buyer example:buy-links.js. - Summarizer —
POST/GET /v1/summarize($0.033 USDC): one HTML page in, a Claude-generated structured summary out (title,summary,key_facts,entities,word_count), with an optionalfocussteering prompt. Non-HTML targets return 422 and never settle. Buyer example:buy-summarize.js.
Free demo first
Same report shape, no payment, 1/day per IP:
curl "https://api.santosautomation.com/api/audit/demo?url=example.com"
Free tools, badge & CI
Verified-email free audit — one full Quick Intelligence audit per day per verified email (6-digit code flow, token valid 30 days), HMAC-signed report:
POST /api/leads/verify/request {"email": "you@example.com", "url": "example.com"}
POST /api/leads/verify/confirm {"email": "you@example.com", "code": "123456"} → token
GET /api/audit/free?url=example.com&token=<token>
Agent-Ready badge — embed a live SVG shield of your public score:
[](https://www.santosautomation.com/reports/example.com)
llms.txt generator — draft a standards-shaped llms.txt from a one-page
sample (verified-email free tier, quota shared with the free audit):
GET /v1/llms-txt/demo?url=example.com&token=<token> or the tool page at
/llms-txt-generator.
Report verification — every report carries an HMAC-SHA256 signature. Verify
one free with POST /v1/verify (30/hour) or at
/verify.
CI gate — fail a pull request when its preview deploy scores below your
agent-readiness threshold (~$0.075 USDC per run via x402):
examples/agent-readiness-ci.yml (GitHub
Actions) and examples/agent-readiness-ci.sh
(any CI). Guide: /ci.
Deep Website Intelligence (browser-rendered tier)
Real Chromium via Playwright in an isolated Fly.io worker: Lighthouse lab
metrics, rendered axe-core accessibility findings (with selectors), browser
network/console evidence, screenshots, and passive security checks. Async:
the $0.225 payment buys a bounded compute reservation (settles on job
accept, not report completion). POST /v1/audits with an Idempotency-Key
header → poll status_url with the returned one-time access_token → fetch
report_url (versioned schema_version: 3.0.0 JSON + signed artifact URLs).
Working buyer example: buy-deep.js. Architecture + go-live
runbook: docs/deep-audit.md.
Agent Readiness
The versioned AgentReadinessResult assesses public agent-facing discovery,
structured identity, OpenAPI, MCP, operational trust, and x402/machine-commerce
signals. It first classifies applicability, so a normal website is not penalized
for lacking an API, MCP server, or payment interface. The standalone quick pass
uses at most eight bounded requests and never authenticates to or pays the audited
target, submits forms, creates target accounts, invokes target tools, or executes code.
Agent Readiness is also available as the opt-in agent-readiness module for
POST /v1/audits, through the MCP audit_agent_readiness paid-HTTP handoff, and
additively as a lower-coverage embedded preview inside the Quick Audit response.
The standalone result costs $0.075 USDC per successful response through x402 v2;
failed audits do not settle. The existing Quick Audit overall_score is unchanged.
The standalone response also includes the additive Website Intelligence score and
four-dimensional presentation, with callable marked not applicable when the
target does not advertise callable services.
Scoring and standards baselines are documented in
docs/agent-readiness-scoring.md and
docs/agent-readiness-spec-baseline.md.
Response shape (Quick Intelligence Audit)
{
"tier": "paid",
"url": "https://example.com/",
"http_status": 200,
"timing_ms": { "ttfb": 166, "total": 168 },
"overall_score": 68,
"scores": { "performance": 100, "seo": 40, "accessibility": 100, "security": 33 },
"website_intelligence_score": 74,
"website_intelligence": {
"dimensions": {
"discoverable": 81,
"understandable": 68,
"callable": null,
"trustworthy": 73
},
"applicability": { "callable": "not_applicable" },
"coverage": { "tests_executed": 28, "tested_percent": 88 },
"confidence": 0.86,
"priority_fixes": []
},
"checks": { "performance": [ { "pass": true, "detail": "TTFB 166ms" } ] },
"issues": ["Missing canonical link", "Missing Content-Security-Policy header"]
}
Errors are { "error": "<human message>", "code": "<STABLE_CODE>" } with codes
INVALID_URL, UNSUPPORTED_SCHEME, PRIVATE_ADDRESS_BLOCKED, RATE_LIMITED,
AUDIT_TIMEOUT, TARGET_UNREACHABLE, AUDIT_FAILED.
Stack
Next.js App Router on Vercel. Payments: @x402/next v2 (withX402 wrapper) +
@x402/core/@x402/evm with @coinbase/x402 (Coinbase CDP facilitator — the
piece that actually settles USDC on Base mainnet) and the @x402/extensions
Bazaar discovery extension. Audit engine: fetch + cheerio, no headless browser.
SSRF-guarded: private/reserved/metadata IPs blocked with per-redirect-hop
revalidation, 15s timeout, 5 redirects, 5 MB cap (lib/safe-fetch.js).
Development
npm install
cp .env.example .env.local # fill in values
npm run dev # http://localhost:3000
npm test # e2e checks against BASE (default localhost:3000)
BASE=https://api.santosautomation.com EXPECT_NETWORK=base npm test
Focused checks for the Website Intelligence layer:
npm run test:agent-readiness
npm run test:website-intelligence
npm run build
Environment variables
See .env.example. Required in production: CDP_API_KEY_ID,
CDP_API_KEY_SECRET (facilitator auth). Optional: DISCORD_WEBHOOK_URL
(payment notifications), PUBLIC_API_BASE_URL (canonical hostname in docs
output), audit tuning knobs.
Deploy
vercel --prod from a linked checkout. Vercel deploys the website and API control
plane; the browser-rendered worker is a separate Fly.io deployment and must be
released independently when worker code changes. The receiving wallet and network are
hard-coded in app/api/audit/route.js on purpose — stale env vars must not
silently flip the API back to testnet.
Registry listings
Copy-ready submission text for x402 catalogs and the MCP registry:
docs/registry-submissions.md.
Operator
Santos Automation (Juan Santos) — custom x402 APIs, web apps, e-commerce, and automation systems. info@santosautomation.com · https://santosautomation.com
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。