Semantic HTML Pruner

x402

Semantic HTML Pruner is a paid API for AI agents from mcp-gateway.agentdiet.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-22).

Fetches a web page URL and strips it down to semantically meaningful HTML, achieving ~91% compression ratio for LLM-ready content extraction.

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://mcp-gateway.agentdiet.dev settling in USDC on Base.

Output

A JSON response containing a `data` field with the pruned HTML content, a `status` field indicating success, and an `roi_proof` object showing the compression ratio achieved (e.g. 91.4%). The compressed HTML retains semantic meaning while removing boilerplate, ads, navigation, and structural noise.

Example use cases

LLM context injection from article

“Grab https://techcrunch.com/2024/05/01/openai-news/ and strip it down to just the meaningful content HTML — I want to inject it into my prompt without burning through my context window.”

Competitive pricing page extraction

“Fetch https://competitor.com/pricing and prune the HTML to only the semantic parts so I can compare their pricing tiers without all the junk markup.”

Research summary preparation

“Pull down https://research.org/papers/llm-scaling and return a compressed, semantically cleaned HTML version — I need the key content for my summarization pipeline.”

Technical details

Endpoint

GEThttps://mcp-gateway.agentdiet.dev/v1/semantic-html-pruner?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to reduce HTML token footprint before feeding web content to an LLM, particularly when working with token-limited contexts. It is purpose-built for AI pipelines that need clean, semantic HTML rather than raw scraped content. Prefer it over general-purpose scrapers when compression ratio and LLM-readiness matter more than full fidelity.

Side effects

Invalid or unreachable URL returns an error status
URL behind authentication or paywalls may return empty or partial content
Very large pages may time out or return truncated results
URLs returning non-HTML content (PDFs, images) may fail to parse
Missing required `input` field returns a schema validation error

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {},
    "status": "ok",
    "roi_proof": {
      "compression_ratio_pct": 91.4
    }
  }
}

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