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NexusEval Marketing Preflight
x402
NexusEval Marketing Preflight is a paid API for AI agents from nexuseval.vercel.app, paid per call via x402, $0.04/call, status unknown (last checked 2026-09-14).
Evaluates marketing copy, headlines, and CTAs before publishing, returning a quality score, pass/fail decision, risk flags, and recommendations.
Price / call$0.04
Success—
StatusUnknown
How this service works
x402-native pre-publish Marketing Quality Gateway for autonomous AI agents.
Output
Returns a numeric quality score (0-100), a PASS or FAIL decision, an array of risk flags identifying problematic content or compliance concerns, and an array of actionable recommendations for improving the marketing material.
Example use cases
Email campaign preflight before send
“Before I send this email blast, check if it's ready: headline is 'Unlock Your Team's Full Potential', copy is 'Our platform automates the busywork so your team can focus on what matters. Join 10,000+ teams already saving 5 hours a week.', CTA is 'Get Started Free', audience is HR managers at mid-size companies, objective is free trial signups. Does it pass and what should I fix?”
Ad copy risk check for paid social
“I'm about to run a Facebook ad — can you do a quality check on it? Headline: 'Lose 10 Pounds in 2 Weeks Guaranteed', copy: 'Our clinically-backed supplement helps you shed weight fast without dieting', CTA: 'Shop Now', audience is women 25-45 interested in fitness, objective is direct sales. Flag any risks before I launch.”
Landing page headline scoring
“Score my landing page headline and copy before I publish: headline is 'The Smartest Way to File Your Taxes', copy is 'TaxPilot guides you step by step so you never miss a deduction — average user saves $1,200', CTA is 'File For Free', audience is individual US taxpayers, objective is account signups. What's the quality score and any recommendations?”
Technical details
Endpoint
POSThttps://nexuseval.vercel.app/api/evaluate/gtmWhen to prefer
Use this endpoint when an AI agent or automated marketing workflow needs a structured, scored quality gate before publishing any marketing asset — especially when you need a machine-readable PASS/FAIL decision and risk flags rather than open-ended editorial feedback. Prefer this over general LLM critique when you need consistent scoring, risk flag enumeration, and a deterministic publish decision in an autonomous pipeline.
Side effects
- Missing required fields (copy or headline) may cause validation errors or low-confidence scoring
- Extremely short or placeholder copy may yield low scores without meaningful recommendations
- Ambiguous or very broad audience descriptions may reduce recommendation specificity
- Service unavailability returns HTTP 5xx with no score or decision
- Payment failure via x402 protocol prevents evaluation from running
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| cta | string | Primary call to action |
| copy | string | Marketing copy or campaign material to evaluate |
| audience | string | Target audience |
| headline | string | Headline, subject line or core message |
| objective | string | Primary marketing objective |
Output
Schema · Response
{
"type": "json",
"example": {
"score": 82,
"decision": "PASS",
"riskFlags": [],
"recommendations": []
}
}Tags
x402
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