Agent Hub Sentiment & Tone Classifier is a paid API for AI agents from agents.torbrooknews.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).
Classifies text as positive, negative, or neutral with a confidence score and one-line reason; supports batches of up to 20 texts per call.
Sentiment and tone classification for text (positive / negative / neutral with confidence, plus a one-line reason). Batch up to 20 texts per call. Also callable as GET with the same fields as query parameters.
Returns per-text sentiment classification (positive, negative, or neutral), a confidence score (0–1), and a one-line natural language reason explaining the classification — one result object per input text, up to 20 results per call.
GEThttps://agents.torbrooknews.com/v1/sentiment?utm_source=zero.xyzChoose this endpoint when you need fast, lightweight sentiment and tone classification with a human-readable reason, especially for batches of up to 20 texts in a single call. It is ideal for content moderation pipelines, customer feedback triage, or social monitoring workflows where confidence scores and brief explanations matter. Prefer it over heavier NLP APIs when you want a simple positive/negative/neutral label with reasoning rather than deep emotion or entity analysis.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
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