x402 Agent Output QA Scorer

x402

x402 Agent Output QA Scorer is a paid API for AI agents from x402-endpoints.onrender.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-21).

Reviews and scores an AI agent's outbound text (email, social post, or customer reply) against rubric criteria, returning a structured quality verdict with improvement suggestions and a rewritten version.

Price / call$0.1

Seller volume →—

Success—

StatusUnknown

How this service works

Review an agent's email or message before sending — spam check + quality QA in one call: a multi-criteria scorecard (clarity, spam-safety/deliverability, tone, length, personalization, CTA, compliance — each 0-100) + poor/fair/good/excellent rating + top suggestions + a ready-to-send IMPROVED REWRITE. Will this email or message land or get flagged as spam? One call scores and rewrites. Email / output review, spam check and copy QA for AI agents before sending.

Output

Returns an overall_score (0-100), a rating label (e.g. 'poor'), per-criteria scores for tone, clarity, CTA, length, compliance, spam_safety, and personalization (each 0-100), a list of actionable suggestions, a rewritten improved_version of the text, and metadata including goal, format, and data freshness info.

Example use cases

Example prompt

“Before sending this cold outreach email, run it through the output QA scorer with the goal 'book a demo' and format 'email' — here's the draft: 'Hey! Buy now — limited time offer!!! Click here for an exclusive demo deal.' Score it and give me a rewritten version.”

Technical details

Endpoint

GEThttps://x402-endpoints.onrender.com/agent/output-qa?utm_source=zero.xyz

When to prefer

Use this endpoint when an AI agent needs a structured, rubric-based quality gate on its own outbound communications before delivery — especially for sales emails, social posts, or customer replies where spam risk, tone, and CTA clarity matter. Prefer this over generic LLM self-review when you need consistent scored criteria, a machine-readable verdict, and a ready-to-send improved rewrite in a single call, without managing your own API keys.

Side effects

Missing required 'output' query parameter returns a validation error
Text too long may be truncated (truncated: true in response)
LLM-based scoring is heuristic and non-deterministic — scores may vary across calls
Payment failure (insufficient USDC balance) returns HTTP 402 before processing
Unsupported format values may degrade scoring accuracy

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "example": {
    "error": null,
    "query": {
      "goal": "book a demo",
      "format": "email",
      "truncated": false,
      "output_length": 46
    },
    "cached": false,
    "rating": "poor",
    "criteria": {
      "cta": 50,
      "tone": 40,
      "length": 60,
      "clarity": 55,
      "compliance": 45,
      "spam_safety": 20,
      "personalization": 30
    },
    "timestamp": "2026-06-30T12:00:00Z",
    "disclaimer": "Automated rubric QA; scores are heuristic guidance, not a guarantee of deliverability or compliance.",
    "suggestions": [
      "Remove hype words ('buy now', 'limited time') and excessive exclamation marks.",
      "Personalize the opening with the recipient's name and context.",
      "State a single clear call to action toward booking a demo."
    ],
    "overall_score": 34,
    "data_freshness": {
      "mode": "llm",
      "as_of": "2026-06-30T12:00:00Z",
      "sources": [
        "Claude Haiku rubric scoring + rewrite"
      ],
      "age_seconds": 0,
      "retrieved_at": "2026-06-30T12:00:00Z",
      "deterministic": false
    },
    "criteria_legend": "Each 0-100, higher is better. spam_safety: 100 = not spammy.",
    "improved_version": "Hi Sam — I noticed your team is scaling outreach. Would a 15-minute demo this week be useful to see how we can help? Happy to send a couple of times."
  }
}

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