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Survey Sentiment Analysis & Aspect Scorer
x402
Survey Sentiment Analysis & Aspect Scorer is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Scores open-ended survey text by overall sentiment and optionally by named aspects or themes, returning a numeric score and sentiment label.
Price / call$0.01
Success—
StatusUnknown
How this service works
817 pay-per-call APIs for AI agents. Every endpoint is POST /<name> and is payable in USDC over x402 on Base and Solana — no signup, no API key, just pay-per-call. GET https://x402.agentutility.ai/ returns the same catalog as machine-readable JSON.
Output
Returns a JSON object with an overall_score (numeric, likely -1 to 1) and overall_sentiment label (e.g. 'positive', 'negative', 'mixed'). When aspects are provided, individual aspect scores and sentiment labels are also returned per aspect.
Example use cases
NPS Verbatim Classifier
“I've got this NPS detractor comment — can you score the overall sentiment and also break it down by 'product quality', 'support', and 'pricing'? Here's the text: 'The software crashes constantly and support took three days to respond, though at least the price is reasonable.'”
Restaurant Review Aspect Scoring
“Analyze the sentiment of this customer review and score it separately for 'food', 'service', 'ambiance', and 'value': 'The pasta was incredible but our waiter disappeared for 20 minutes and the lighting was way too dim for the price we paid.'”
Employee Engagement Survey Analysis
“Score the overall sentiment of this employee survey response and give me individual scores for 'work-life balance', 'management', and 'career growth': 'My manager is super supportive and I feel like I'm growing, but the hours have been brutal lately and I'm burning out.'”
Technical details
Endpoint
POSThttps://x402.agentutility.ai/survey-sentiment-analysis?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to quantify the sentiment of survey free-text responses or NPS verbatims, especially when you want granular aspect-level scores (e.g. 'food', 'service', 'pricing') alongside an overall score. Prefer it over generic sentiment APIs when your use case is explicitly survey or feedback research scoring with multi-aspect decomposition.
Side effects
- Text exceeds 12,000 character limit — request rejected
- More than 15 aspects supplied — may be truncated or rejected
- Empty or missing 'text' field — validation error
- Malformed JSON body — 400 error
- Payment not included or insufficient — 402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"overall_score": 0.12,
"overall_sentiment": "mixed"
}
}Tags
x402
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