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Documentation Index

Fetch the complete documentation index at: https://docs.codex.io/llms.txt

Use this file to discover all available pages before exploring further.

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SPORTS_MATCH
enum
Single team-vs-team match (e.g. “Lakers vs Celtics”).
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SPORTS_SERIES
enum
Best-of-N series within a tournament (e.g. NBA Finals series, MLB postseason series).
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SPORTS_CHAMPIONSHIP
enum
Season/tournament-level championship (e.g. “Pro Basketball Champion?”, Super Bowl winner).
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ESPORTS_MATCH
enum
Esports match (e.g. “Dota 2: Aurora vs Heroic”, “CS2: FaZe vs Navi”). Similar market roles to traditional sports (moneyline, totals, props) but distinct event category.
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AWARDS_SHOW
enum
Awards show / cultural competition outright field — typically one Yes/No market per nominee/entrant (e.g. “Eurovision Winner 2026”, Oscars Best Picture, Grammy of the Year).
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ELECTION
enum
Election / nomination / primary outright field — typically one Yes/No market per candidate (e.g. “Democratic Presidential Nominee 2028”).
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PRICE_THRESHOLD
enum
Numeric threshold ladder for a price/value (e.g. “BTC > $X”).
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DATE
enum
Date-bucket ladder (e.g. “Before Jan 21, 2029”).
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FED_DECISION
enum
FOMC / central-bank rate-decision event.
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BINARY
enum
Single binary yes/no event.
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WEATHER
enum
Weather or climate measure ladder (e.g. daily high temperature in °C, one Yes/No market per bucket or tail).
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MULTI_SELECT
enum
Multi-select / pick-N field where the entrant set is a list of distinct items (policy items, demands, topics) rather than candidates, dates, or numeric buckets (e.g. “What Iranian demands will Trump agree to?”, “What will the bill include?”).
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OTHER
enum
Fallback.

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Used By

Returned by
  • eventScopedFilterPredictionMarkets: Filters prediction markets within a single event and returns structured classification metadata for each market. Use this instead of filterPredictionMarkets when you need entrant/segment/ladder details (country codes, period+stat grouping, parsed numeric/date rungs) without re-parsing labels client-side.
  • filterPredictionEvents: Filters prediction events using optional text, IDs, and ranking criteria.