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Prediction market cross-platform gaps - biggest disagreements between…

Prediction market cross-platform gaps - biggest disagreements between Polymarket and Kalshi on the SAME question: both questions and probabilities, the gap in points, volumes, close dates, urls, match_confidence. Arbitrage research, sanity-checking a price against a second venue, event-risk divergence. From a background snapshot rebuilt every 30 min. ?limit=1-50&min_gap=<pts, default 0>&q=<optional topic>. Check both resolve on the same terms.

Ready now3 calls · 2 buyers in 30 days

Input

Sample response

Published by the provider. Your run returns a fresh response.

response2 keys
gaps1 item
result_count1
responseobject, 2 keys
Your agent can do this on its own
Add the MCP URL in Claude Code, Cursor or Codex. Your agent can run Tools within its spending limits, or ask for approval each time. Connect your agent

Connect your agent

Add one MCP URL and your agent can find and run this tool within its spending limits. Choose “Ask each time” if you want to approve every Call.

MCP URL

https://app.aecon.ai/mcp
Terminalbash
claude mcp add --transport http --scope user agentic-economy "https://app.aecon.ai/mcp"

In Claude Code, open /mcp, select agentic-economy, then choose Authenticate.

Track record

Paid calls, last 30 days
3
Buyers, last 30 days
2
Last paid call

Reported by the x402 directory.

A$0.029 per call