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Rekko-AI
by Rekko-AI

screen_markets

Screen prediction markets by score, volume, or specific IDs to identify opportunities with actionable recommendations for analysis, watching, or skipping.

Instructions

Batch screen markets by score, volume, or specific IDs.

Returns scored markets with an action recommendation: "analyze", "watch", or "skip".

Args: market_ids: Optional list of specific market IDs to screen. platform: Filter by platform: "kalshi", "polymarket", or "" for all. min_volume_24h: Minimum 24h volume filter. min_score: Minimum composite score filter. limit: Maximum number of results to return.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
market_idsNo
platformNo
min_volume_24hNo
min_scoreNo
limitNo

Implementation Reference

  • Implementation of the 'screen_markets' tool in the Rekko MCP server. It proxies requests to the '/v1/screen' API endpoint.
    async def screen_markets(
        market_ids: list[str] | None = None,
        platform: str = "",
        min_volume_24h: float = 0.0,
        min_score: float = 0.0,
        limit: int = 50,
    ) -> str:
        """Batch screen markets by score, volume, or specific IDs.
    
        Returns scored markets with an action recommendation: "analyze", "watch", or "skip".
    
        Args:
            market_ids: Optional list of specific market IDs to screen.
            platform: Filter by platform: "kalshi", "polymarket", or "" for all.
            min_volume_24h: Minimum 24h volume filter.
            min_score: Minimum composite score filter.
            limit: Maximum number of results to return.
        """
        body: dict = {"limit": limit}
        if market_ids:
            body["market_ids"] = market_ids
        if platform:
            body["platform"] = platform
        if min_volume_24h > 0:
            body["min_volume_24h"] = min_volume_24h
        if min_score > 0:
            body["min_score"] = min_score
        return await _request("POST", "/v1/screen", json=body)

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