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TradepilotUSA Follow-Up Email Draft Generator
x402
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 2026-09-29).
Generates a professional follow-up email draft based on a provided brief, target audience, and source text from previous interactions
Price / call$0.25
Success—
StatusUnknown
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.
Example use cases
Post-discovery-call client follow-up
“Write a follow-up email for the operations manager at Riverside Consulting after our discovery call yesterday — the brief is to confirm next steps around their inventory workflow audit, and here are my call notes to base it on: [call notes text].”
Missed appointment re-engagement email
“I had a missed appointment with a lead at Summit HVAC — can you draft a follow-up email for their service coordinator? The brief is to reschedule and acknowledge the missed call, and here's the email thread so far: [email thread text].”
Post-proposal follow-up to warm prospect
“Draft a follow-up email to the purchasing director at Lakewood Manufacturing — brief is to check in on our submitted proposal for their parts ordering system, and here's the proposal summary and last conversation log to use as context: [proposal and conversation text].”
Technical details
Endpoint
POSThttps://www.tradepilotusa.com/api/agent-commerce/v1/services/followup_email_draft/execute?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| brief | string | |
| audience | string | |
| source_text | string |
Output
Schema · Response
{
"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
}
}Tags
x402
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