Machine Shop – Evidence Search Pack

x402

Machine Shop – Evidence Search Pack is a paid API for AI agents from api.pay-forge.online, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-20).

Searches supplied documents for evidence matching a query, compares snapshots, extracts typed JSON fields, and inspects x402 payment quotes and API migration details.

Price / call$0.02

Seller volume →—

Success—

StatusUnknown

How this service works

Turn Apify product scrape results into safe catalog updates with Catalog Update Gate. Find evidence in supplied documents, compare snapshots, extract typed JSON fields, inspect x402 quotes and assess API migrations. Preview inputs, evidence and cost for free. No live web search, scheduled monitoring or third-party purchasing.

Output

Returns a JSON object containing matched evidence passages with their source document IDs, extracted typed JSON fields, diff highlights between snapshots, and structured analysis of any x402 quotes or API migration gaps found in the supplied documents.

Example use cases

x402 Quote Inspection from API Response

“I got this x402 payment response back from an API call — can you inspect the quote fields and tell me if the pricing and token details look correct? Here's the raw response text.”

Evidence Search Across Contract Drafts

“I have three versions of a vendor contract. Search all of them for any clause that mentions liability limits and pull out the exact wording from each version so I can compare them.”

API Migration Assessment from Changelogs

“Here are the old API spec and the new API spec as documents. Analyze them and tell me what breaking changes exist and how complete the migration looks based on the differences.”

Technical details

Endpoint

POSThttps://api.pay-forge.online/v2/evidence-search-pack?utm_source=zero.xyz

When to prefer

Choose this endpoint when you have documents already in hand and need to search them for evidence, extract structured fields, compare versions, or validate x402 payment quotes — all without any live web access or external service calls. It is ideal for document-grounded analysis tasks where you control the input corpus and need per-field JSON output rather than a prose summary.

Side effects

Query string missing or empty – 400 validation error
No documents provided or documents array is empty – 400 validation error
Document text exceeds 16,000 character limit – 400 validation error
More than 8 documents submitted – 400 validation error
Document ID contains invalid characters (non-word, non-dot, non-dash) – 400 validation error
No relevant evidence found for query – empty results object returned
Payment not received or x402 flow incomplete – 402 Payment Required

Input

Schema · Request body

Field	Type	Description
query	string
documents	array

Output

Schema · Response

{
  "type": "json"
}

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