Live Kalshi + Polymarket prediction-market data and cross-venue arbitrage spreads, one schema.
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Average 3/5 across 3 of 3 tools scored.
Each tool has a distinct purpose: get_market retrieves a single market, list_markets returns a collection, and matching_markets finds cross-venue matches. No overlap or ambiguity exists.
All tool names follow a clear verb_noun pattern in snake_case: get_market, list_markets, matching_markets. The pattern is consistent and predictable.
With only 3 tools, the set is on the smaller side but appropriate for a focused domain. It covers the essential operations without being overly sparse.
The tools cover core read operations (get one, list all, find matches) but lack filtering or search capabilities. Minor gaps exist, but the primary use case is well-served.
get_marketInspectGet one normalized market. venue is 'kalshi' or 'polymarket'.
| Name | Required | Description | Default |
|---|---|---|---|
| venue | Yes | ||
| market_id | Yes |
list_marketsInspectList open prediction markets across Kalshi and Polymarket (normalized).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| venue | No |
| Name | Required | Description |
|---|---|---|
| result | Yes |
matching_marketsInspectFind the same real-world event on both venues, with the YES price spread.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| threshold | No |
| Name | Required | Description |
|---|---|---|
| result | Yes |
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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