OpenClaw Skill
One skill.
Oscar market intelligence.
Prices on Kalshi and Polymarket, large trades, price moves, precursor awards and the season calendar, asked in plain English.
OpenClaw is the open skill platform for AI assistants. The skill on ClawHub is version 1.3, written for the 2026 season. The 2027 markets reach your assistant now through the site’s MCP server.
21 categories · Kalshi and Polymarket · Large trades · Precursor awards
Best Picture · to win · 54 contenders
The average · each platform
├── The Odyssey 50% · Kalshi 51% · Polymarket 49%
├── The Black Ball 29.8% · Kalshi 28% · Polymarket 31.5%
├── Dune: Part Three 10.8% · Kalshi 10% · Polymarket 11.5%
├── You Can See Everything 6% · Kalshi only
└── Wild Horse Nine 2.8% · Kalshi 3% · Polymarket 2.6%
Dollars traded to win
This season: $2.09M · Kalshi $1.95M · Polymarket $137k
Last 24 hours: $19.7k
Market data, not advice.
Example answers from the site’s MCP server, read on 5 October 2026. Market data, not advice.
Capabilities
What your assistant can look up
For the 2027 season through the site’s MCP server, and the 2026 season from its archive. Every answer starts with the same notice: market data, not advice.
One Number per Contender
The average of the Kalshi and Polymarket prices, as the site shows it, with each platform's own price beside it. A gap of more than 4 points is flagged.
Large Trades
Trades of $500 and up on both platforms, as the site records them: the contender, the side, the price and the dollars paid.
Price Moves
The 24-hour change of each number, in points, from the site's saved prices. Thin and closed markets are marked, never quoted as live.
Dollars Traded
What traders paid on each platform and both together, per contender and category: this season, the last 30 days, 7 days and 24 hours.
Season Dates
Shortlists, nominations, the ceremony and the guild and critics awards, each date with its source, plus last season's winners from the 2026 archive.
Natural Language
Ask questions in plain English. No APIs to learn, no dashboards to navigate.
Use Cases
Schedule it. Automate it. Ask anything.
Every query can be scheduled as a proactive briefing. Set it once, your AI handles the rest. The answers below are real, read on 5 October 2026.
Morning Oscar Brief
Example 1User: “Every morning, check the Oscar markets and tell me what moved overnight.”
Covers all 21 categories: moves of 3 points or more on each platform, from the site's saved prices, and the newest large trades.
Large Trades
Example 2User: “Show me every trade of $1,000 or more this week.”
Every recorded trade of $500 or more on Kalshi and Polymarket, with the contender, the side, the price of the side traded and the dollars paid.
Precursor Record
Example 3User: “How often has the DGA winner won Best Director?”
Each award's past match rate with the Oscar, its 2027 date and, once announced, its winners next to the market prices.
Contender Profile
Example 4User: “Tell me about Christopher Nolan”
One film or person in every category it is in, for both markets: the average and each platform's price, the rank, the 24-hour change and dollars traded.
Every Category at a Glance
Example 5User: “Give me the highest number in every Oscar category.”
The first contender in each category by the site's number, labelled when it stands on one platform, and the categories with no market yet.
Get Started
Two ways in.
Option 1 · OpenClaw skill, version 1.3
$ clawhub install waitingformacguffinWritten for the 2026 season. It reads the site’s public routes with curl, so it needs an assistant that can run commands.
Option 2 · MCP server, 2027 season
$ claude mcp add --transport http waitingformacguffin https://waitingformacguffin.com/mcp21 categories on Kalshi and Polymarket, the average by default, dollars traded. No sign-in. The line above is for Claude Code; steps for the Claude apps, ChatGPT, Codex and Grok.
Then · Ask anything
> What moved in the Oscar markets today?
> Best Picture prices
> Any large trades this week?
Plain English. Market data, not advice.
Using Claude, ChatGPT, Codex or Grok? Connect over MCP
Beta · Open source · MIT License · Data from Kalshi and Polymarket · Market data, not advice
One number per contender
The average, each platform beside it
Five answers from the MCP server, read on 5 October 2026 · market data, not advice
The Odyssey
50%
Average of the two platforms
Kalshi
51%
Polymarket
49%
Traded to win this season: Kalshi $944k · Polymarket $74k
Christopher Nolan
65%
Average, with the gap flagged: the platforms are 6 points apart
Kalshi
68%
Polymarket
62%
Traded to win this season: Kalshi $44.6k · Polymarket $11.0k
You Can See Everything
57%
Kalshi only: Polymarket lists only some of the films in this category
Kalshi
57%
Polymarket
Not listed
Traded to win this season: Kalshi $6.7k
Dune: Part Three
55.5%
Polymarket only: Kalshi's market for this category is written as a Makeup and Hairstyling contract
Kalshi
Switched off
Polymarket
55.5%
Traded to win this season: Polymarket $7.9k
The Odyssey
49.5%
Polymarket only: Kalshi's 65% is a thin market, so it is left out
Kalshi
65% (thin)
Polymarket
49.5%
Traded to win this season: Kalshi $3.7k · Polymarket $9.5k
Get in Touch
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