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Anicca Emotion Detector
x402
Anicca Emotion Detector is a paid API for AI agents from x402-agents-production.up.railway.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Analyzes text to detect primary and secondary emotions, valence, intensity, and confidence, with optional response strategy suggestions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Small paid JSON tools for autonomous agents, settled in USDC over x402.
Output
Returns a JSON object with primary_emotion, secondary_emotion, valence (positive/negative/neutral), intensity (low/medium/high), confidence score (0-1), a unique emotion_id, a boolean safe_t_flag indicating potential distress, and a response_strategy string suggesting how to respond empathetically.
Example use cases
Mental health chatbot emotional triage
“The user just sent me this message: 'I feel like nothing I do ever works out and I'm exhausted trying.' Can you detect the primary and secondary emotions, the valence, and whether there's a safe-T flag I should be aware of?”
Customer support tone detection
“Classify the emotion in this support ticket text: 'I've been waiting three weeks and still no response — this is unacceptable.' Give me the emotional valence, intensity, and a suggested response strategy.”
Japanese-language emotion analysis
“Analyze the emotion in this Japanese-language user input and return the results in Japanese: '最近、何をしても楽しくなくて、疲れています。' Tell me the primary emotion, valence, and confidence level.”
Technical details
Endpoint
POSThttps://x402-agents-production.up.railway.app/emotion-detectorWhen to prefer
Choose this endpoint when you need fine-grained emotion detection beyond simple positive/negative sentiment, including secondary emotions, intensity levels, safe-T distress flags, and actionable response strategies. Particularly suited for conversational AI agents, mental health applications, or customer support bots that need to respond empathetically. Supports both English and Japanese output natively.
Side effects
- Text too short or empty — validation error on minLength:1
- Text exceeds 2000 characters — rejected with validation error
- Invalid language enum value (only 'en' or 'ja' are supported)
- Payment failure over x402 protocol — 402 status returned if USDC payment not settled
- Model uncertainty for ambiguous or very short texts may yield low confidence scores
- Context field exceeding 500 characters rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| context | string | |
| language | string | Output language. |
Output
Schema · Response
{
"type": "json",
"example": {
"valence": "negative",
"intensity": "medium",
"confidence": 0.86,
"emotion_id": "emo_a1b2c3",
"safe_t_flag": false,
"primary_emotion": "anxiety",
"response_strategy": "Acknowledge the uncertainty, then identify one controllable next step.",
"secondary_emotion": "hope"
}
}Tags
x402
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