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TradepilotUSA Entity Extraction
x402
TradepilotUSA Entity Extraction is a paid API for AI agents from www.tradepilotusa.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-02).
Extracts structured business entities (organizations, products/services, places, dates/times) from unstructured source text
Price / call$0.25
Success—
StatusUnknown
How this service works
Extract explicitly stated organizations, products, places, dates, and business terms from supplied text, with evidence snippets. Uses buyer-supplied information only; no external research or outbound actions. Returns a draft for human review.
Output
Returns a structured JSON object with a task label, a plain-language summary of extracted entities, a detailed markdown artifact organizing entities by category (organizations, products/services, places, dates/times) with supporting evidence quotes, provenance metadata, a list of assumptions made, identified evidence gaps, a flag indicating whether human review is recommended, and a unique request ID.
Example use cases
CRM lead enrichment from email
“I have this raw email from a prospect and I need you to extract all the business entities from it — company names, services mentioned, locations, and any dates they referenced. The context is lead intake for our sales pipeline targeting construction companies.”
Contract entity parsing for legal review
“Can you go through this vendor contract excerpt and pull out every organization, product or service, location, and date mentioned? The brief is vendor onboarding review and the audience is our legal and procurement team.”
Business intelligence from competitor content
“Take this scraped webpage text from a competitor's site and extract all structured entities — their company names, the services they offer, the cities they operate in, and any promotional dates or deadlines. Brief: competitive landscape analysis for a home services company.”
Technical details
Endpoint
POSThttps://www.tradepilotusa.com/api/agent-commerce/v1/services/entity_extraction/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract structured named entities (organizations, services, places, dates) from unstructured business text and want categorized output with evidence citations and confidence signals. Particularly well-suited for business operations contexts such as CRM enrichment, lead intake, vendor analysis, or contract review. Prefer this over generic NLP APIs when you need provenance metadata, assumption logging, and evidence gap reporting alongside the extracted entities.
Side effects
- source_text too short (below 20 characters) returns validation error
- source_text exceeds 32,000 character limit returns 400 error
- brief exceeds 12,000 characters returns validation error
- Ambiguous or low-information source text may produce incomplete entity lists with populated evidence_gaps
- External research is not performed so entities only available outside the supplied text will be missed
- requires_human_review flag set to true when confidence is low
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| brief | string | |
| audience | string | |
| source_text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"task": "entity_extraction",
"summary": "Extracted entities include Example Door Company (organization), residential entry door installation (product/service), Dallas (place), consultation availability Monday through Friday (dates/times), an",
"artifact": "Illustrative excerpt from a synthetic provider check:\n### Extracted Business Information from Source Document\n\n#### Organizations\n- Example Door Company\n - Evidence: \"Example Door Company provides residential entry door installation in Dallas.\"\n\n#### Products / Services\n- Residential entry door installation\n - Evidence: \"Example Door Company provides residential entry door installation in Dallas.\"\n\n#### Places\n- Dallas\n - Evidence: \"Example Door Company provides residential entry door installation in Dallas.\"\n\n#### Dates / Times\n- Consultations ",
"provenance": {
"source": "buyer_supplied",
"generated_at": "2026-09-22T14:42:31.213Z",
"external_research_performed": false
},
"request_id": "example_entity_extraction",
"assumptions": [
"\"Consultations\" refers to customer meetings related to door installation.",
"The \"next meeting\" involves internal staff reviewing operational metrics."
],
"evidence_gaps": [
"Exact date and time of the next meeting.",
"Specific delay rate statistics."
],
"requires_human_review": true
}
}Tags
x402
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