# TradepilotUSA Lead Score From Profile

> 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.

## Facts

- Endpoint: POST https://www.tradepilotusa.com/api/agent-commerce/v1/services/lead_score_from_profile/execute?utm_source=zero.xyz
- Price: $0.25/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-03
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tradepilotusa-lead-score-from-profile-f18af44b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MCNwWf-z0--ntKvTP-G0q

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability tradepilotusa-lead-score-from-profile-f18af44b -d '<json body>'
```

Example prompt: Score this lead for me — here's their profile: 'Acme Roofing is a mid-sized residential roofing contractor in Atlanta with 12 crews. The owner mentioned they're struggling with scheduling and missed jobs, but didn't share budget details.' The engagement brief is: 'operations efficiency assessment for field service businesses', and the audience is 'small to mid-market field service contractors'.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "brief": {
   "type": "string",
   "maxLength": 12000,
   "minLength": 10
  },
  "audience": {
   "type": "string",
   "maxLength": 500
  },
  "source_text": {
   "type": "string",
   "maxLength": 32000,
   "minLength": 20
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "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
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tradepilotusa-lead-score-from-profile-f18af44b/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from www.tradepilotusa.com](https://www.zero.xyz/host/www.tradepilotusa.com/llms.txt)