SignalLayer Structured Web Extractor

x402

SignalLayer Structured Web Extractor is a paid API for AI agents from signallayer.floot.app, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-19).

Fetches a public webpage and extracts specified named fields as structured JSON, with a confidence-scored completeness verdict.

Price / call$0.02

Seller volume →—

Success—

StatusUnknown

How this service works

Machine-native decision and data primitives for autonomous agents, paid per call with x402 V2 USDC on Base.

Output

A JSON object containing the extracted field values keyed by the requested field names, a completeness verdict (e.g. 'complete'), a numeric score (0–100), a confidence value (0–1), and the tool name used. Example: {data: {title: '...', pricing: '...'}, tool: 'structured_extract', status: 'complete', decision: {score: 96, verdict: 'complete', confidence: 0.96}, evidence: []}

Example use cases

Competitor pricing intelligence

“Fetch https://competitor.com/pricing and extract the plan names, monthly prices, and feature list — I need these as clean structured data.”

News article metadata extraction

“Go to https://techcrunch.com/2024/05/01/some-article and pull out the title, author, publication date, and summary for me.”

E-commerce policy scraping

“Extract the return policy, shipping cost, and contact email from https://mybrand.store/policies — give me the results as structured fields.”

Technical details

Endpoint

GEThttps://signallayer.floot.app/_api/v1/web/structured-extract?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to extract specific named facts from a known public URL and want a structured JSON result with a machine-readable confidence score. It is ideal for autonomous agents that need verifiable, scored data primitives rather than raw HTML or markdown dumps. Prefer it over general web scrapers when you want field-level extraction with completeness validation, and over LLM-only extraction when you need a cost-efficient, per-call paid primitive with deterministic output structure.

Side effects

URL is not publicly accessible or requires authentication — returns incomplete or empty data fields
Requested fields do not exist on the target page — returns null or empty values with a lower confidence score
Target page uses heavy JavaScript rendering that prevents server-side fetch — may return partial or no content
Malformed or non-HTTP(S) URL input — likely returns a validation error
Rate limiting or bot protection on the target site — may result in failed extraction with low score

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "title": "Example Domain",
      "purpose": "Illustrative examples"
    },
    "tool": "structured_extract",
    "status": "complete",
    "decision": {
      "score": 96,
      "verdict": "complete",
      "confidence": 0.96
    },
    "evidence": []
  }
}

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How this service works

Machine-native decision and data primitives for autonomous agents, paid per call with x402 V2 USDC on Base.

Output

Example use cases

Competitor pricing intelligence

“Fetch https://competitor.com/pricing and extract the plan names, monthly prices, and feature list — I need these as clean structured data.”

News article metadata extraction

“Go to https://techcrunch.com/2024/05/01/some-article and pull out the title, author, publication date, and summary for me.”

E-commerce policy scraping

“Extract the return policy, shipping cost, and contact email from https://mybrand.store/policies — give me the results as structured fields.”

Technical details

Endpoint

GEThttps://signallayer.floot.app/_api/v1/web/structured-extract?utm_source=zero.xyz

When to prefer

Side effects

URL is not publicly accessible or requires authentication — returns incomplete or empty data fields
Requested fields do not exist on the target page — returns null or empty values with a lower confidence score
Target page uses heavy JavaScript rendering that prevents server-side fetch — may return partial or no content
Malformed or non-HTTP(S) URL input — likely returns a validation error
Rate limiting or bot protection on the target site — may result in failed extraction with low score

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "title": "Example Domain",
      "purpose": "Illustrative examples"
    },
    "tool": "structured_extract",
    "status": "complete",
    "decision": {
      "score": 96,
      "verdict": "complete",
      "confidence": 0.96
    },
    "evidence": []
  }
}