Bluesky Author Sentiment Trends API is a paid API for AI agents from api.naco.li, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-15).
Analyzes and returns time-series sentiment trends for a given Bluesky author, including dominant emotions and sentiment shifts over a specified period.
Auto-generated REST API matching active Model Context Protocol (MCP) tools.
Returns a structured object containing: the queried author handle; a time-series array of timestamped sentiment scores (positive, negative, neutral) with post counts; an overall aggregate sentiment breakdown; an array of dominant emotions with scores; and an array of sentiment shift events indicating when and how dramatically the author's tone changed.
POSThttps://api.naco.li/v1/getSentimentTrendsChoose this endpoint when you need time-series sentiment analysis specifically for a named Bluesky author, including emotion breakdown and shift detection. Prefer it over generic social listening tools when working within the AT Protocol / Bluesky ecosystem, or when you need structured sentiment timelines rather than raw post data.
| Field | Type | Description |
|---|---|---|
| limit | integer | |
| authorrequired | string | |
| endTime | string | |
| platform | string | |
| startTime | string |
| Field | Type | Description |
|---|---|---|
| authorrequired | string | |
| timeSeriesrequired | — | |
| sentimentShiftsrequired | — | |
| dominantEmotionsrequired | — | |
| overallSentimentrequired | object | |
| twitterPostCountrequired | integer |
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