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- Market Inefficiency Radar
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Market Inefficiency Radar
Market analysis tool that identifies +EV betting opportunities by detecting price inefficiencies and line movement.
$5
Market Inefficiency Radar
Example session with this skill installed
Analyze the Lakers vs Celtics spread. Opened at -3, now -5.5. Most books at -5.5 but Book A is still at -4.5. Public is heavy on Celtics. Is there value in the -4.5 at Book A?
- Read your context and instructions
- Compiled the market inefficiency radar
RADAR STATUS: Sufficient data.
PRICE READ: Underpriced at Book A.
EDGE TYPE: Slow-market edge.
LINE MOVEMENT: Public drift causing late correction.
PASS OR PLAY: Play -4.5 at Book A. Pass -5.5.
VERDICT: Soft opener at Book A, act fast before they sync with the market.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Most bettors focus on picking winners rather than finding mispriced odds. They chase moved lines, pay too much vig, and fail to distinguish between a likely outcome and a positive expected value (+EV) opportunity.
What it does
- Identifies market inefficiencies by comparing opening lines, current odds, and book-to-book spreads.
- Differentiates between sharp action, public drift, and noise-driven line movement.
- Calculates whether an edge remains after accounting for market vig and liquidity.
- Generates a disciplined "Pass or Play" verdict based on price sensitivity and timing windows.
- Audits specific betting scenarios for closing-line value (CLV) and model-vs-market discrepancies.
Why this beats prompting it yourself
Generic LLM prompts often prioritize sports trivia or team sentiment over market mechanics. This skill enforces a strict mathematical framework that treats betting as a pricing problem, preventing the agent from recommending "likely" winners that are actually bad bets at current market prices.
Use cases
- Analyzing whether a line move is sharp pressure or a public overreaction trap.
- Evaluating cross-book price spreads to find slow-market windows before they close.
- Determining if a specific prop bet is mispriced relative to player-specific news.
- Deciding if a bet is worth the vig or if the edge is too thin to justify the variance.
Known limitations
Requires specific market context like current odds or line movement data to function. It cannot predict outcomes without price data and will halt if market context is missing.
Requires manual input of event data, odds, and line movement. Does not fetch real-time data feeds automatically. Output is restricted to market analysis, not outcome prediction.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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