Version 1.3.0 of the WaitingForMacGuffin OpenClaw skill adds a whale leaderboard to the Oscar Brief API. A single call now answers the question every Oscar market watcher asks: which nominee is attracting the most large-trade volume?
The problem
The Brief API already returned individual whale trade signals, but answering "who has the most whale activity?" required manually tallying trades by nominee. The Research API's category overview mode had no whale data at all. Neither endpoint could answer a straightforward volume-ranking question without extra work.
What changed
The /api/oscar/brief response now includes a whale_leaderboard array inside market_snapshot. Each entry ranks a nominee by total whale trade volume within the lookback window and includes:
- Nominee name and category -- who and where
- Total volume and trade count -- how much and how often
- YES/NO volume breakdown -- directional split
- Sentiment label -- bullish, bearish, or mixed based on the YES/NO ratio
The leaderboard respects the same hours, sensitivity, and categories parameters as the rest of the Brief endpoint. Pass all 19 category slugs to get a cross-category ranking.
Example
GET /api/oscar/brief?hours=24&sensitivity=medium&categories=best-picture,best-actor,...
Response includes:
"whale_leaderboard": [
{ "rank": 1, "nominee": "Jessie Buckley", "categoryName": "Best Actress", "totalVolumeUsd": 4850, "tradeCount": 1, "sentiment": "bullish" },
{ "rank": 2, "nominee": "Wagner Moura", "categoryName": "Best Actor", "totalVolumeUsd": 4800, "tradeCount": 1, "sentiment": "bearish" }
]
Bug fixes in this release
- Big Money Index accuracy -- Category pages were recalculating BMI from a truncated 500-trade list instead of using the backend's value across all whale trades. Fixed to use server-provided stats directly.
- Kalshi format migration -- Volume, 24h volume, and liquidity fields updated for Kalshi's new string dollar format (
volume_fp,volume_24h_fp,liquidity_dollars).
How to use
Install or update the skill:
clawhub install waitingformacguffin
Then ask your AI assistant: "Which nominee has the most whale activity today?" The skill will call the Brief API and present the leaderboard.