# TradepilotUSA Follow-Up Email Draft Generator

> TradepilotUSA Follow-Up Email Draft Generator 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).

Generates a professional follow-up email draft based on a provided brief, target audience, and source text from previous interactions

## Facts

- Endpoint: POST https://www.tradepilotusa.com/api/agent-commerce/v1/services/followup_email_draft/execute?utm_source=zero.xyz
- Price: $0.25/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tradepilotusa-follow-up-email-draft-generator-7ed922b1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bsmHAsXOu_ouIEn34mDZG

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-follow-up-email-draft-generator-7ed922b1 -d '<json body>'
```

Example prompt: Can you draft a follow-up email for me? The audience is the operations manager at Example Door Company, and the brief is to confirm our upcoming discovery meeting about their consultation scheduling challenges. Base it on these meeting notes: [paste meeting notes here].

## When to prefer this

Choose this endpoint when you need to automate follow-up email drafting based on existing conversation context, meeting notes, or proposal documents — especially in sales, CRM, or business operations workflows where consistent, professional follow-up is critical. Prefer this over generic LLM prompting when you want a structured output with assumptions listed, evidence gaps flagged, and a human-review recommendation built in, making it easier to audit and approve before sending.

## Known failure modes

- source_text too short (minLength 20) — returns validation error
- brief too short (minLength 10) or too long (maxLength 12000) — returns validation error
- source_text exceeds maxLength 32000 — returns validation error
- insufficient context in source_text to generate a meaningful draft — may produce a generic or low-quality output
- missing required fields — returns 400 bad request
- payment failure or insufficient USDC balance — returns 402 Payment Required

## How this service works

Draft a follow-up from supplied meeting or conversation notes, including confirmed actions and dates only. 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 short summary of the email's intent, the full email draft text (artifact), provenance metadata including generation timestamp and whether external research was performed, a unique request ID, a list of assumptions made during drafting, identified evidence gaps (e.g. missing dates or budget info), and a flag indicating whether human review is recommended before sending.

## 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": "followup_email_draft",
  "summary": "The follow-up confirms the planned discovery meeting to discuss missed appointments and implementation effort for improving consultation scheduling at Example Door Company. No meeting date or budget d",
  "artifact": "Illustrative excerpt from a synthetic provider check:\n## Follow-Up: Scheduling-Process Assessment Discovery Meeting\n\nDear Operations Manager,\n\nThank you for the opportunity to discuss your current consultation scheduling challenges at Example Door Company. As agreed, our next step is to conduct a discovery meeting focused on understanding missed appointments and evaluating the effort required to improve your scheduling process.\n\n**Confirmed Actions and Dates:**\n- Schedule and conduct the discovery meeting to analyze missed appointments and implemen",
  "provenance": {
   "source": "buyer_supplied",
   "generated_at": "2026-09-22T14:39:52.374Z",
   "external_research_performed": false
  },
  "request_id": "example_followup_email_draft",
  "assumptions": [
   "The discovery meeting has not yet been scheduled.",
   "The buyer has not disclosed budget or purchase timeline."
  ],
  "evidence_gaps": [
   "Exact date and time for the discovery meeting.",
   "Budget allocated for scheduling improvements."
  ],
  "requires_human_review": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tradepilotusa-follow-up-email-draft-generator-7ed922b1/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)
