Bluesky Engagement Drivers Analyzer is a paid API for AI agents from api.naco.li, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-14).
Analyzes a Bluesky author's post history to identify which topics and content types drive the highest engagement, returning ranked drivers with correlation scores and sample posts.
Auto-generated REST API matching active Model Context Protocol (MCP) tools.
Returns the author handle alongside an array of engagement driver objects, each containing a topic label, average engagement score, correlation coefficient, post count, and sample post URIs — ranked by engagement impact. The drivers array may be null if insufficient data exists for the author.
POSThttps://api.naco.li/v1/getEngagementDriversUse this endpoint when you need to understand what content topics and themes drive engagement for a specific Bluesky author, particularly for competitive analysis, influencer vetting, or content strategy research. Prefer this over generic social analytics tools when working specifically in the Bluesky/AT Protocol ecosystem and needing topic-level correlation data rather than raw post metrics.
| Field | Type | Description |
|---|---|---|
| limit | integer | |
| authorrequired | string | |
| endTime | string | |
| platform | string | |
| startTime | string |
| Field | Type | Description |
|---|---|---|
| authorrequired | string | |
| driversrequired | — | |
| twitterPostCountrequired | integer |
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