A-Share Official Account Top Influencer Data

The Problem

When tracking A-share content, you usually need to answer two concrete questions: which top official accounts published articles on a given date, and how do their reads, likes, and comments compare? Manually opening each account makes cross-comparison difficult, while hitting raw APIs requires handling authentication, field mapping, and date filtering.

How It Works

This skill reduces the workflow to one dailyPublish API call and returns structured JSON. Key capabilities include:
- Fixed account pool: covers individual influencers and official/institutional accounts, with dual-category output capped at 30 accounts per category.
- Account metrics: shows average reads, Redfox index, and other account-level signals for side-by-side ranking.
- Date-specific articles: returns title, link, reads, likes, and comments for the selected date; titles can be rendered as hyperlinks.
- AI summary: generates a one-sentence display-time summary from the article title without extra API calls.

In practice, confirm the date first, defaulting to today if absent; fetch the JSON output; then present it as a Markdown table. If few accounts are returned, it often means fewer articles were published that day rather than a failure.

Boundaries

The data comes from the Redfox API's account catalog and ingestion pipeline, and interaction metrics are frozen at ingestion time rather than live page values. The platform updates prior-day data around 07:00, so check yesterday's reports after 07:30. It is suited for daily reports, subscription pushes, and monitoring within a fixed pool, but not for full-catalog discovery or real-time sentiment analysis.