agentsvc.io Tech Stack Detector

x402

agentsvc.io Tech Stack Detector is a paid API for AI agents from agentsvc.io, paid per call via x402, $0.009/call, status unknown (last checked 2026-10-10).

Detects and identifies technologies, frameworks, CMS platforms, and web stack components used by any given website URL via static HTML/header analysis.

Price / call$0.009

Seller volume →—

Success—

StatusUnknown

How this service works

86 APIs for AI agents: web scraping and crawling to Markdown, AI summaries, data extraction and cited answers, screenshots and PDF, PDF, OCR and document conversion, news, paper and developer search and more, paid per call with USDC on Base, Solana, Polygon or Arbitrum via x402. No account, no API key, free sample on every service.

Output

Returns a JSON object containing the detected technologies grouped by category (e.g. CMS, Web servers, Programming languages, Security), each with name, version (if detectable), confidence score, evidence snippets, and website link. Also includes server software, HTTP status, total technology count, and a timestamp of when the check was performed. Includes a note clarifying that client-side-only JavaScript technologies may be missed.

Example use cases

Competitive tech stack research

“What technologies is stripe.com built on? I want to know their CMS, server, frontend frameworks, and any analytics tools they use — only show results you're at least 80% confident about.”

Sales lead enrichment for SaaS

“I'm targeting WordPress sites for our plugin product — can you check if example-client.com is running WordPress and what plugins are detected on it?”

Security audit tech fingerprinting

“Before our security review, can you fingerprint the tech stack on mybankingapp.io? I need to know the server software, any security-related technologies like HSTS, and what programming languages are in use.”

Technical details

Endpoint

POSThttps://agentsvc.io/api/v1/proxy/tech-stack?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need fast, inexpensive technology fingerprinting of a public website without running a full browser. It is ideal for bulk competitive research, lead enrichment pipelines, and pre-audit reconnaissance where static analysis (HTML, headers, cookies, meta tags, script URLs) is sufficient. Prefer alternatives if you need JavaScript-rendered SPA detection or deep dynamic analysis.

Side effects

URL is unreachable or returns non-200 status — partial or empty technology list returned
Client-side JavaScript-rendered technologies are not detected due to static analysis only
Very low confidence results filtered out if min_confidence is set too high
Private or behind-auth sites may return minimal technology signals
Invalid URL format causes request to fail

Input

Schema · Request body

Field	Type	Description
url	string
min_confidence	integer

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "url": "https://wordpress.org/",
      "note": "Static analysis of HTML, headers, cookies, meta tags and script URLs; technol...",
      "server": "nginx",
      "status": 200,
      "checked_at": "2026-10-06T14:33:42.336Z",
      "signatures": {
        "source": "webappanalyzer (GPL-3.0)",
        "technologies": 7628
      },
      "by_category": {
        "CMS": [
          "WordPress"
        ],
        "Blogs": [
          "WordPress"
        ],
        "Editors": [
          "Gutenberg"
        ],
        "Security": [
          "HSTS"
        ],
        "Databases": [
          "MySQL"
        ],
        "Web servers": [
          "Nginx"
        ],
        "Tag managers": [
          "Google Tag Manager"
        ],
        "Page builders": [
          "WordPress Block Editor"
        ],
        "Reverse proxies": [
          "Nginx"
        ],
        "WordPress plugins": [
          "Gutenberg"
        ],
        "Programming languages": [
          "PHP"
        ]
      },
      "technologies": [
        {
          "name": "Google Tag Manager",
          "version": null,
          "website": "https://www.google.com/tagmanager",
          "evidence": [
            "html"
          ],
          "categories": [
            "Tag managers"
          ],
          "confidence": 100
        }
      ],
      "technology_count": 9
    },
    "success": true
  }
}

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