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TradepilotUSA Lead Score From Profile
x402
TradepilotUSA Lead Score From Profile is a paid API for AI agents from www.tradepilotusa.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-03).
Analyzes a prospect's business profile text to generate a lead score, qualification summary, evidence gaps, and draft business context for sales opportunities.
Price / call$0.25
Success—
StatusUnknown
How this service works
Assess supplied business facts against an explicit fit rubric; label missing evidence and avoid protected traits. Uses buyer-supplied information only; no external research or outbound actions. Returns a draft for human review.
Output
Returns a JSON object containing a task label, a plain-language qualification summary, a truncated artifact (draft business document excerpt), provenance details (source, timestamp, whether external research was performed), a unique request ID, a list of assumptions made during analysis, a list of evidence gaps identified in the profile, and a boolean flag indicating whether human review is recommended.
Example use cases
Pre-call lead qualification for sales rep
“Before my discovery call tomorrow, can you score this prospect from their LinkedIn summary and our email thread? The brief is 'workflow automation for HVAC companies' and the audience is 'owner-operated HVAC businesses with 5-20 technicians'. Here's the source text: 'We run 8 trucks and our dispatcher manually schedules everything in a spreadsheet. We've had double-bookings two weeks in a row.'”
CRM enrichment before outreach campaign
“I have 10 lines of notes on this prospect from a trade show conversation — score their fit against our 'field service invoicing software' engagement. The audience is 'small contractors under $2M revenue'. Source text: 'Owner of a 4-person plumbing company, mentioned they send paper invoices and chase payments for 30+ days. No timeline given, seemed curious but noncommittal.'”
Identifying evidence gaps before proposal
“We're about to write a proposal for Example Door Company. Can you analyze this profile and tell me what key information we're still missing before we pitch our scheduling assessment engagement? Brief: 'consultation scheduling improvement for residential door installers', audience: 'two-person residential installation crews in Texas'. Source: 'Operations manager wants fewer missed appointments. No budget disclosed. Uses phone and sticky notes to book consults.'”
Technical details
Endpoint
POSThttps://www.tradepilotusa.com/api/agent-commerce/v1/services/lead_score_from_profile/execute?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have unstructured prospect profile text (notes, LinkedIn bios, email threads, form responses) and need a structured qualification verdict with explicit evidence gaps before investing sales time. Prefer this over generic LLM prompting when you want consistent, structured output with provenance tracking and a human-review flag embedded in the response — especially useful inside CRM automation workflows or pre-call research pipelines.
Side effects
- source_text below 20-character minimum returns validation error
- brief below 10-character minimum returns validation error
- source_text exceeding 32,000 characters is rejected
- missing required fields returns 400 bad request
- payment not included or insufficient USDC triggers 402 payment required
- malformed JSON body causes parsing error
- ambiguous or very sparse profile text may produce low-confidence summaries with many evidence gaps
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| brief | string | |
| audience | string | |
| source_text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"task": "lead_score_from_profile",
"summary": "The supplied business facts indicate a partial fit for a scheduling-process assessment engagement with Example Door Company. Key missing evidence includes quantitative data on missed appointments, bud",
"artifact": "Illustrative excerpt from a synthetic provider check:\n## Business Draft: Scheduling-Process Assessment for Example Door Company\n\n### Overview\nExample Door Company specializes in installing residential entry doors in Dallas using a two-person crew. The operations manager is focused on improving the consultation scheduling process to reduce missed appointments.\n\n### Current Situation\n- The company experiences missed appointments during consultation scheduling.\n- No budget or purchase timeline has been disclosed by the prospect.\n- The proposed engagem",
"provenance": {
"source": "buyer_supplied",
"generated_at": "2026-09-22T14:40:27.445Z",
"external_research_performed": false
},
"request_id": "example_lead_score_from_profile",
"assumptions": [
"The operations manager is the primary stakeholder for consultation scheduling improvements.",
"The scheduling-process assessment is a preliminary diagnostic engagement without guaranteed outcomes."
],
"evidence_gaps": [
"Quantitative data on frequency and impact of missed appointments.",
"Budget range allocated for scheduling improvements."
],
"requires_human_review": true
}
}Tags
x402
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