Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
AI-powered Polymarket prediction market analysis. Get edge opportunities, analyze specific markets, and set price alerts. Pay per analysis in Bitcoin sats vi...
AI-powered Polymarket prediction market analysis. Get edge opportunities, analyze specific markets, and set price alerts. Pay per analysis in Bitcoin sats vi...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Find edge in prediction markets using AI probability estimation vs current market prices. Pay ~50 sats per analysis via Bitcoin Lightning. No subscription, no account.
Finding mispriced markets on Polymarket Getting AI probability assessment on specific events Scanning for arbitrage opportunities in prediction markets Comparing AI model probability vs crowd wisdom Browsing top markets by volume or category
Scans Polymarket for markets where AI probability significantly diverges from market price. "Find edge opportunities on Polymarket" β Returns top mispriced markets with AI vs market probability delta β Sorted by edge magnitude β Includes recommended position (YES/NO) and confidence
Deep AI analysis of a specific Polymarket market. "Analyze the Fed rate cut market" β Returns AI probability estimate with reasoning β Includes key factors, risks, and recommended position size β Compares to current market price
Browse top Polymarket markets by volume, filtered by category. "What are the top crypto markets on Polymarket?" β Returns markets sorted by volume β Filter by: crypto, politics, sports, science, tech, world
Check your Lightning balance before running expensive scans. "How much Lightning balance do I have?" β Returns current sats balance β Includes link to top up if low
Before a full market scan: check_balance β confirm enough sats for the scan get_edge_opportunities β retrieve top mispriced markets Present findings with edge delta and confidence For a specific market: analyze_market with market name or URL Return AI probability, reasoning, and position recommendation Cost awareness: Each get_edge_opportunities call: ~50 sats Each analyze_market call: ~50 sats Warn if balance < 200 sats before a multi-analysis session
User: "Find edge opportunities on Polymarket" You: check_balance β get_edge_opportunities β present top 5 markets with edge delta, AI probability vs market price, and recommended positions User: "What does AI think about the Bitcoin ETF approval market?" You: analyze_market("Bitcoin ETF approval") β return AI probability estimate, key factors, comparison to market price, recommended position User: "What are the biggest crypto prediction markets right now?" You: get_top_markets(category="crypto") β return top markets by volume with current prices
~50 sats per analysis. Pay with Bitcoin Lightning. Get a spend token at lightningprox.com. { "mcpServers": { "lpxpoly": { "command": "npx", "args": ["lpxpoly-mcp"], "env": { "LIGHTNINGPROX_SPEND_TOKEN": "lnpx_your_token_here" } } } }
PermissionScopeReasonNetworklpxpoly.com, lightningprox.comMarket data and Lightning paymentEnv ReadLIGHTNINGPROX_SPEND_TOKENAuthentication for paid analysis calls
LPXPoly is part of the AIProx ecosystem, operated by LPX Digital Group LLC. Market analysis is AI-generated probability estimation β not financial advice. Sats deducted from LightningProx balance per successful analysis only. Operated at lpxpoly.com.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.