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.
Prediction Market data is currently in beta. It is actively being worked on and improved, but may be unreliable. Polymarket and Kalshi data are live.At least for the time being, this endpoint requires a Growth or Enterprise plan. Learn more.
This endpoint requires a Growth or Enterprise plan. Learn more.
Returns
See EventScopedPredictionMarketFilterConnection
Show Properties
Show Properties
Total number of matching results.
The current page number.
Event-level shape (one per event; identical for all markets in a single-event query).
See PredictionEventShape
Show Properties
Show Properties
Single team-vs-team match (e.g. “Lakers vs Celtics”).
Best-of-N series within a tournament (e.g. NBA Finals series, MLB postseason series).
Season/tournament-level championship (e.g. “Pro Basketball Champion?”, Super Bowl winner).
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.
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).
Election / nomination / primary outright field — typically one Yes/No market per candidate (e.g. “Democratic Presidential Nominee 2028”).
Numeric threshold ladder for a price/value (e.g. “BTC > $X”).
Date-bucket ladder (e.g. “Before Jan 21, 2029”).
FOMC / central-bank rate-decision event.
Single binary yes/no event.
Weather or climate measure ladder (e.g. daily high temperature in °C, one Yes/No market per bucket or tail).
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?”).
Fallback.
The ID of the prediction event.
The list of results.
See EventScopedPredictionMarketFilterResult
Show Properties
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The prediction market filter result.
See PredictionMarketFilterResult
Show Properties
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The unique identifier.
The unix timestamp.
The timestamp of the last transaction.
The age.
The expected lifespan.
The parent event label.
Structured classification metadata from the search index. Discriminated by
classification.role; carries segment, entrant, thresholdBucket, and dateBucket sub-blocks.
See PredictionMarketClassificationShow Properties
Show Properties
Per-market role within the event (same value as the legacy
marketRole).
See PredictionMarketRoleShow Properties
Show Properties
Single-market outright winner (e.g. Polymarket two-outcome moneyline).
One side of a split head-to-head moneyline (typically 2-3 markets per event: per-team Yes/No for a single game/half/quarter/period, plus optional Tie). Group all markets in an event with this role to reconstruct the logical moneyline.
One entrant in a large-field tournament/championship outright (e.g. Kalshi “NBA Champion?” with one Yes/No market per team in the league). Distinct from MONEYLINE_OUTCOME by field size and event shape.
Point spread / handicap.
Over/under total.
Player or team prop.
One bucket of a price-threshold ladder (e.g. “BTC > $80k”).
One bucket of a date ladder (e.g. “Before 2027”).
Exotic market (BTTS, correct score, method of victory, etc.).
Fallback.
Position of this market within the event’s display list (lower = show first). Folds in ladder ordering for
THRESHOLD_BUCKET / DATE_BUCKET events; equivalent to suggestedOrder ?? displayOrder on the legacy fields.Sub-event period (set, half, game, etc.) and/or stat (points, rebounds, …). Always present;
type = NONE for non-sports markets and whole-match sports markets. The groupingKey field encodes the documented “stat wins over period” precedence so clients don’t have to.
See PredictionMarketSegmentShow Properties
Show Properties
Which dimension dominates: STAT (a stat is present, regardless of period), PERIOD (only a period is present), or NONE (neither — full-match market).
See PredictionMarketSegmentType
Period token if detected: e.g. “set_1”, “1h”, “game_2”, “map_3”, “period_2”, “ot”. Snake_case slug. Null when the market covers the full match.
Convenience grouping key. Equals
stat ?? period ?? "match". Use this when partitioning markets within an event into sub-event groups: stat takes precedence over period (a “1H Player Points” market groups with other points markets, not other 1H markets).Numeric segment value when the period/stat slug carries an ordinal or numeric component (for example set/game/map/round number). Null when no numeric segment value is available.
Populated when
role = ENTRANT. Identifies the kind of entrant (person, team, country, …) and provides type-specific hints (e.g. ISO 3166-1 alpha-2 country code).
See PredictionMarketEntrantShow Properties
Show Properties
Kind of entity this entrant represents.
See PredictionMarketEntrantKind
Show Properties
Show Properties
Real person — politician, executive, public figure (not a sports player).
Sports player or driver.
Sports team or franchise.
Country (Eurovision, Olympics outright, etc.).
Company / corporation / brand.
Multi-select / pick-N topic item (policy item, demand, agenda topic).
TV show.
Movie.
Song.
Album.
Fallback.
Cleaned display name for the entrant (mirrors the existing
suggestedLabel field).Per-market image URL when available (mirrors the existing per-market image).
ISO 3166-1 alpha-2 country code (e.g. “SE”). Populated when
kind = COUNTRY and the label resolves to a known country.Populated when
role = THRESHOLD_BUCKET. Carries the parsed numeric rung value, comparison operator, and metric kind (price, temperature, tweets, …). Saves clients from re-parsing the label.
See PredictionMarketThresholdBucketShow Properties
Show Properties
What the rung is measuring (price, stock price, temperature in °C, social-media count, …).
See PredictionMarketLadderMetric
Show Properties
Show Properties
Generic asset price (crypto, commodities-fallback).
Equity stock price.
Fully-diluted valuation / market cap threshold.
Commodity price (oil, gas, metals, etc.).
Daily high/low temperature in °C.
Federal Reserve rate change in basis points.
Rotten Tomatoes Tomatometer score.
Movie box-office opening-weekend gross.
Tweet count.
Follower count.
Subscriber count.
View / stream count.
Like count.
Post count.
Fallback.
How the rung relates to its bound(s).
See PredictionMarketLadderOperator
Single comparison value for ABOVE / BELOW / EXACTLY (e.g. 80000 for “BTC > $80k”).
Lower bound for BETWEEN-style range buckets (e.g. “80k−90k” → 80000).
Upper bound for BETWEEN-style range buckets (e.g. “80k−90k” → 90000).
Populated when
role = DATE_BUCKET. Carries the parsed timestamp(s) and operator (BEFORE / AFTER / ON / BETWEEN).
See PredictionMarketDateBucketShow Properties
Show Properties
How the rung relates to its date bound(s).
See PredictionMarketDateOperator
Single unix timestamp (seconds) for BEFORE / AFTER / ON.
Lower bound timestamp (seconds) for BETWEEN buckets.
Upper bound timestamp (seconds) for BETWEEN buckets.
Original subtype slug emitted by the classifier (e.g. “first_half_spread”, “player_points”). Provided so clients can forward-ship support for new subtypes before this schema gains structured fields for them.
Simplified market data from search index. Use predictionMarket for full market details.
See SearchPredictionMarket
Show Properties
Show Properties
The unique identifier.
The ID of the prediction event.
The prediction protocol.
See PredictionProtocol
The venue-specific market ID.
The venue-specific market slug.
The exchange contract address.
The network ID.
The venue-specific event ID.
The display label.
A best-effort display label for the market: the market
label when present and meaningful, otherwise the question. If the event name appears inside the label it is stripped out.The question or title.
The collateral backing this market.
The creation timestamp.
The timestamp when this entity opens.
The timestamp when this entity closes.
The expected resolution timestamp.
The actual resolution timestamp.
Tags associated with this entity.
URL of the thumbnail image.
Full prediction market loaded from database. May be null if market no longer exists.
See PredictionMarket
Show Properties
Show Properties
The unique identifier.
The prediction protocol.
See PredictionProtocol
The venue-specific market ID.
The venue-specific market slug.
The ID of the prediction event.
The venue-specific event ID.
The question or title.
The display label.
A clean, UI-ready label derived from
label/question with the parent event name stripped (and Kalshi Yes:/No: prefixes unwrapped). Falls back to question when label is missing or unknown.The parent event label.
Primary rules text.
Secondary rules text.
Venue-specific outcome IDs.
Internal outcome IDs.
Labels for each outcome.
The resolution details.
See PredictionResolution
URL of the large image.
URL of the thumbnail image.
URL of the small image.
The creation timestamp.
The last update timestamp.
The timestamp when this entity opens.
The timestamp when this entity closes.
The expected resolution timestamp.
The actual resolution timestamp.
The last observation timestamp.
The network ID.
The exchange contract address.
Categories associated with this entity.
See PredictionCategory
Show Properties
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The ID of the winning outcome.
Per-domain structured enrichment (sports market type/teams/start times today). Null when no domain-specific signal extracted.
See PredictionMarketEnrichedMetadata
Show Properties
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Discriminator naming which sub-block carries data.
See PredictionMetadataType
Show Properties
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Sports games (league, teams, start times).
Populated when
metadataType = SPORTS.
See SportsMarketEnrichedMetadataShow Properties
Show Properties
Market template slug (e.g. “moneyline”, “spreads”, “totals”, “ufc_method_of_victory”). Free string — list grows as venues add templates.
Soft-normalised league identifier (mirrors the parent event).
Teams referenced by this market, when known.
See SportsTeam
Show Properties
Show Properties
Lowercased venue-canonical abbreviation.
Known alternate forms for the same team (rebrands, relocations, 2-vs-3-letter conventions). Excludes
abbreviation.Display name.
Soft-normalised league for this team.
Logo URL.
Display alias.
Brand colour.
Provider-side identifier (e.g. Polymarket gamma id).
Whether this team is the home team in the event.
Game-start date in UTC (“YYYY-MM-DD”). Derived from
gameStartTime when present.Game-start clock value as canonical UTC ISO-8601.
Game-start as Unix seconds (UTC).
Timezone discriminator for
gameStartTime / gameStartDate. Always UTC for any record produced after the ET→UTC normalisation rollout.
See SportsTimezoneShow Properties
Show Properties
UTC.
gameStartTime is canonical ISO-8601; gameStartTimeSeconds populated.The prediction protocol.
See PredictionProtocol
The timestamp when this entity opens.
The timestamp when this entity closes.
The expected resolution timestamp.
Categories associated with this entity.
The resolution source.
Outcome 0 data.
See PredictionOutcomeFilterResult
Show Properties
Show Properties
The unique identifier.
The display label.
A best-effort display label for the outcome: the outcome
label when present and meaningful, otherwise the question. If the event name appears inside the label it is stripped out.The venue-specific outcome ID.
The is winner.
The token contract address.
The network ID.
The exchange contract address.
Tags associated with this entity.
The best bid usd.
The best ask usd.
The spread usd.
The last price usd.
The best bid ct.
The best ask ct.
The spread ct.
The last price ct.
Live top-of-book best bid in USD, sourced from the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Live top-of-book best bid in collateral token units, sourced from the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Live top-of-book best ask in USD, sourced from the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Live top-of-book best ask in collateral token units, sourced from the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Total bid-side notional liquidity in USD across all bid levels in the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Total bid-side notional liquidity in collateral token units across all bid levels in the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Liquidity in USD.
Liquidity in collateral token units.
The two percent ask depth usd.
The two percent bid depth usd.
The two percent ask depth ct.
The two percent bid depth ct.
The high price usd5m.
The high price usd1h.
The high price usd4h.
The high price usd12h.
The high price usd24h.
The high price usd1w.
The low price usd5m.
The low price usd1h.
The low price usd4h.
The low price usd12h.
The low price usd24h.
The low price usd1w.
Volume in USD.
Volume in USD.
Volume in USD.
Volume in USD.
Volume in USD.
Volume in USD.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
Volume in shares.
Volume in shares.
Volume in shares.
Volume in shares.
Volume in shares.
Volume in shares.
Buy volume.
Buy volume.
Buy volume.
Buy volume.
Buy volume.
Buy volume.
Sell volume.
Sell volume.
Sell volume.
Sell volume.
Sell volume.
Sell volume.
The trades5m.
The trades1h.
The trades4h.
The trades12h.
The trades24h.
The trades1w.
The buys5m.
The buys1h.
The buys4h.
The buys12h.
The buys24h.
The buys1w.
The sells5m.
The sells1h.
The sells4h.
The sells12h.
The sells24h.
The sells1w.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The price range5m.
The price range1h.
The price range4h.
The price range12h.
The price range24h.
The price range1w.
Outcome 1 data.
See PredictionOutcomeFilterResult
Show Properties
Show Properties
The unique identifier.
The display label.
A best-effort display label for the outcome: the outcome
label when present and meaningful, otherwise the question. If the event name appears inside the label it is stripped out.The venue-specific outcome ID.
The is winner.
The token contract address.
The network ID.
The exchange contract address.
Tags associated with this entity.
The best bid usd.
The best ask usd.
The spread usd.
The last price usd.
The best bid ct.
The best ask ct.
The spread ct.
The last price ct.
Live top-of-book best bid in USD, sourced from the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Live top-of-book best bid in collateral token units, sourced from the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Live top-of-book best ask in USD, sourced from the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Live top-of-book best ask in collateral token units, sourced from the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Total bid-side notional liquidity in USD across all bid levels in the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Total bid-side notional liquidity in collateral token units across all bid levels in the venue’s CLOB. Polymarket and Kalshi; null for other venues. Fetched on-demand only when selected. Cached for up to 10s. Selecting this caps the filter
limit at 50.Liquidity in USD.
Liquidity in collateral token units.
The two percent ask depth usd.
The two percent bid depth usd.
The two percent ask depth ct.
The two percent bid depth ct.
The high price usd5m.
The high price usd1h.
The high price usd4h.
The high price usd12h.
The high price usd24h.
The high price usd1w.
The low price usd5m.
The low price usd1h.
The low price usd4h.
The low price usd12h.
The low price usd24h.
The low price usd1w.
Volume in USD.
Volume in USD.
Volume in USD.
Volume in USD.
Volume in USD.
Volume in USD.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
Volume in shares.
Volume in shares.
Volume in shares.
Volume in shares.
Volume in shares.
Volume in shares.
Buy volume.
Buy volume.
Buy volume.
Buy volume.
Buy volume.
Buy volume.
Sell volume.
Sell volume.
Sell volume.
Sell volume.
Sell volume.
Sell volume.
The trades5m.
The trades1h.
The trades4h.
The trades12h.
The trades24h.
The trades1w.
The buys5m.
The buys1h.
The buys4h.
The buys12h.
The buys24h.
The buys1w.
The sells5m.
The sells1h.
The sells4h.
The sells12h.
The sells24h.
The sells1w.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The price range5m.
The price range1h.
The price range4h.
The price range12h.
The price range24h.
The price range1w.
The ID of the winning outcome.
The trending score.
The trending score.
The trending score.
The trending score.
The trending score.
The trending score.
The relevance score.
The relevance score.
The relevance score.
The relevance score.
The relevance score.
The relevance score.
The competitive score.
The competitive score.
The competitive score.
The competitive score.
The competitive score.
The competitive score.
Liquidity in USD.
Liquidity in collateral token units.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
Open interest in USD.
Open interest in collateral token units.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
Volume in USD.
Volume in USD.
Volume in USD.
Volume in USD.
Volume in USD.
Volume in USD.
Volume in USD.
Volume in collateral token units.
The venue volume usd.
The venue volume ct.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The trades5m.
The trades1h.
The trades4h.
The trades12h.
The trades24h.
The trades1w.
The avg trade size usd5m.
The avg trade size usd1h.
The avg trade size usd4h.
The avg trade size usd12h.
The avg trade size usd24h.
The avg trade size usd1w.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The unique traders5m.
The unique traders1h.
The unique traders4h.
The unique traders12h.
The unique traders24h.
The unique traders1w.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The percentage change.
The price competitiveness.
The volume imbalance24h.
The liquidity asymmetry.
The implied probability sum.
The max price range5m.
The max price range1h.
The max price range4h.
The max price range12h.
The max price range24h.
The max price range1w.
Structured classification metadata. Discriminated by
classification.role; carries segment (period/stat), entrant (with country code / image), thresholdBucket (parsed numeric rung + operator), and dateBucket (unix timestamp + operator) sub-blocks. See MarketClassifier/CLASSIFICATION.md for the consumer guide.
See PredictionMarketClassificationShow Properties
Show Properties
Per-market role within the event (same value as the legacy
marketRole).
See PredictionMarketRoleShow Properties
Show Properties
Single-market outright winner (e.g. Polymarket two-outcome moneyline).
One side of a split head-to-head moneyline (typically 2-3 markets per event: per-team Yes/No for a single game/half/quarter/period, plus optional Tie). Group all markets in an event with this role to reconstruct the logical moneyline.
One entrant in a large-field tournament/championship outright (e.g. Kalshi “NBA Champion?” with one Yes/No market per team in the league). Distinct from MONEYLINE_OUTCOME by field size and event shape.
Point spread / handicap.
Over/under total.
Player or team prop.
One bucket of a price-threshold ladder (e.g. “BTC > $80k”).
One bucket of a date ladder (e.g. “Before 2027”).
Exotic market (BTTS, correct score, method of victory, etc.).
Fallback.
Position of this market within the event’s display list (lower = show first). Folds in ladder ordering for
THRESHOLD_BUCKET / DATE_BUCKET events; equivalent to suggestedOrder ?? displayOrder on the legacy fields.Sub-event period (set, half, game, etc.) and/or stat (points, rebounds, …). Always present;
type = NONE for non-sports markets and whole-match sports markets. The groupingKey field encodes the documented “stat wins over period” precedence so clients don’t have to.
See PredictionMarketSegmentShow Properties
Show Properties
Which dimension dominates: STAT (a stat is present, regardless of period), PERIOD (only a period is present), or NONE (neither — full-match market).
See PredictionMarketSegmentType
Period token if detected: e.g. “set_1”, “1h”, “game_2”, “map_3”, “period_2”, “ot”. Snake_case slug. Null when the market covers the full match.
Convenience grouping key. Equals
stat ?? period ?? "match". Use this when partitioning markets within an event into sub-event groups: stat takes precedence over period (a “1H Player Points” market groups with other points markets, not other 1H markets).Numeric segment value when the period/stat slug carries an ordinal or numeric component (for example set/game/map/round number). Null when no numeric segment value is available.
Populated when
role = ENTRANT. Identifies the kind of entrant (person, team, country, …) and provides type-specific hints (e.g. ISO 3166-1 alpha-2 country code).
See PredictionMarketEntrantShow Properties
Show Properties
Kind of entity this entrant represents.
See PredictionMarketEntrantKind
Show Properties
Show Properties
Real person — politician, executive, public figure (not a sports player).
Sports player or driver.
Sports team or franchise.
Country (Eurovision, Olympics outright, etc.).
Company / corporation / brand.
Multi-select / pick-N topic item (policy item, demand, agenda topic).
TV show.
Movie.
Song.
Album.
Fallback.
Cleaned display name for the entrant (mirrors the existing
suggestedLabel field).Per-market image URL when available (mirrors the existing per-market image).
ISO 3166-1 alpha-2 country code (e.g. “SE”). Populated when
kind = COUNTRY and the label resolves to a known country.Populated when
role = THRESHOLD_BUCKET. Carries the parsed numeric rung value, comparison operator, and metric kind (price, temperature, tweets, …). Saves clients from re-parsing the label.
See PredictionMarketThresholdBucketShow Properties
Show Properties
What the rung is measuring (price, stock price, temperature in °C, social-media count, …).
See PredictionMarketLadderMetric
Show Properties
Show Properties
Generic asset price (crypto, commodities-fallback).
Equity stock price.
Fully-diluted valuation / market cap threshold.
Commodity price (oil, gas, metals, etc.).
Daily high/low temperature in °C.
Federal Reserve rate change in basis points.
Rotten Tomatoes Tomatometer score.
Movie box-office opening-weekend gross.
Tweet count.
Follower count.
Subscriber count.
View / stream count.
Like count.
Post count.
Fallback.
How the rung relates to its bound(s).
See PredictionMarketLadderOperator
Single comparison value for ABOVE / BELOW / EXACTLY (e.g. 80000 for “BTC > $80k”).
Lower bound for BETWEEN-style range buckets (e.g. “80k−90k” → 80000).
Upper bound for BETWEEN-style range buckets (e.g. “80k−90k” → 90000).
Populated when
role = DATE_BUCKET. Carries the parsed timestamp(s) and operator (BEFORE / AFTER / ON / BETWEEN).
See PredictionMarketDateBucketShow Properties
Show Properties
How the rung relates to its date bound(s).
See PredictionMarketDateOperator
Single unix timestamp (seconds) for BEFORE / AFTER / ON.
Lower bound timestamp (seconds) for BETWEEN buckets.
Upper bound timestamp (seconds) for BETWEEN buckets.
Original subtype slug emitted by the classifier (e.g. “first_half_spread”, “player_points”). Provided so clients can forward-ship support for new subtypes before this schema gains structured fields for them.
Arguments
The ID of the prediction event to scope the query to. Required.
A set of filters to apply.
See PredictionMarketFilters
Show Properties
Show Properties
The prediction protocol.
See PredictionProtocol
Categories associated with this entity. Mutually exclusive with excludeCategories and hasCategories.
Exclude markets with these categories. Mutually exclusive with categories and hasCategories.
Filter by whether the market has any categories. Mutually exclusive with categories and excludeCategories.
The resolution source.
The unix timestamp.
See NumberFilter
The timestamp of the last transaction.
See NumberFilter
The age.
See NumberFilter
The timestamp when this entity was created.
See NumberFilter
The expected lifespan.
See NumberFilter
The timestamp when this entity opens.
See NumberFilter
The timestamp when this entity closes.
See NumberFilter
The expected resolution timestamp.
See NumberFilter
The trending score.
See NumberFilter
The trending score.
See NumberFilter
The trending score.
See NumberFilter
The trending score.
See NumberFilter
The trending score.
See NumberFilter
The trending score.
See NumberFilter
The relevance score.
See NumberFilter
The relevance score.
See NumberFilter
The relevance score.
See NumberFilter
The relevance score.
See NumberFilter
The relevance score.
See NumberFilter
The relevance score.
See NumberFilter
The competitive score.
See NumberFilter
The competitive score.
See NumberFilter
The competitive score.
See NumberFilter
The competitive score.
See NumberFilter
The competitive score.
See NumberFilter
The competitive score.
See NumberFilter
Liquidity in USD.
See NumberFilter
Liquidity in collateral token units.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
Open interest in USD.
See NumberFilter
Open interest in collateral token units.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
Volume in USD.
See NumberFilter
Volume in USD.
See NumberFilter
Volume in USD.
See NumberFilter
Volume in USD.
See NumberFilter
Volume in USD.
See NumberFilter
Volume in USD.
See NumberFilter
Volume in USD.
See NumberFilter
Volume in collateral token units.
See NumberFilter
The venue volume usd.
See NumberFilter
The venue volume ct.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The trades5m.
See NumberFilter
The trades1h.
See NumberFilter
The trades4h.
See NumberFilter
The trades12h.
See NumberFilter
The trades24h.
See NumberFilter
The trades1w.
See NumberFilter
The avg trade size usd5m.
See NumberFilter
The avg trade size usd1h.
See NumberFilter
The avg trade size usd4h.
See NumberFilter
The avg trade size usd12h.
See NumberFilter
The avg trade size usd24h.
See NumberFilter
The avg trade size usd1w.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The unique traders5m.
See NumberFilter
The unique traders1h.
See NumberFilter
The unique traders4h.
See NumberFilter
The unique traders12h.
See NumberFilter
The unique traders24h.
See NumberFilter
The unique traders1w.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The percentage change.
See NumberFilter
The price competitiveness.
See NumberFilter
The volume imbalance24h.
See NumberFilter
The liquidity asymmetry.
See NumberFilter
The implied probability sum.
See NumberFilter
The max price range5m.
See NumberFilter
The max price range1h.
See NumberFilter
The max price range4h.
See NumberFilter
The max price range12h.
See NumberFilter
The max price range24h.
See NumberFilter
The max price range1w.
See NumberFilter
Filter on outcome0 properties. All conditions must be met (AND logic).
See PredictionOutcomeFilters
Show Properties
Show Properties
Best bid price in USD
See NumberFilter
Best ask price in USD
See NumberFilter
Spread in USD (difference between best ask and best bid)
See NumberFilter
Last traded price in USD
See NumberFilter
Number of trades in the last 5 minutes
See NumberFilter
Number of trades in the last 1 hour
See NumberFilter
Number of trades in the last 4 hours
See NumberFilter
Number of trades in the last 12 hours
See NumberFilter
Number of trades in the last 24 hours
See NumberFilter
Number of trades in the last week
See NumberFilter
Price change percentage in the last 5 minutes
See NumberFilter
Price change percentage in the last 1 hour
See NumberFilter
Price change percentage in the last 4 hours
See NumberFilter
Price change percentage in the last 12 hours
See NumberFilter
Price change percentage in the last 24 hours
See NumberFilter
Filter on outcome1 properties. All conditions must be met (AND logic).
See PredictionOutcomeFilters
Show Properties
Show Properties
Best bid price in USD
See NumberFilter
Best ask price in USD
See NumberFilter
Spread in USD (difference between best ask and best bid)
See NumberFilter
Last traded price in USD
See NumberFilter
Number of trades in the last 5 minutes
See NumberFilter
Number of trades in the last 1 hour
See NumberFilter
Number of trades in the last 4 hours
See NumberFilter
Number of trades in the last 12 hours
See NumberFilter
Number of trades in the last 24 hours
See NumberFilter
Number of trades in the last week
See NumberFilter
Price change percentage in the last 5 minutes
See NumberFilter
Price change percentage in the last 1 hour
See NumberFilter
Price change percentage in the last 4 hours
See NumberFilter
Price change percentage in the last 12 hours
See NumberFilter
Price change percentage in the last 24 hours
See NumberFilter
Filter where ANY outcome matches the conditions (OR logic). Useful for finding markets where either outcome meets criteria.
See PredictionOutcomeFilters
Show Properties
Show Properties
Best bid price in USD
See NumberFilter
Best ask price in USD
See NumberFilter
Spread in USD (difference between best ask and best bid)
See NumberFilter
Last traded price in USD
See NumberFilter
Number of trades in the last 5 minutes
See NumberFilter
Number of trades in the last 1 hour
See NumberFilter
Number of trades in the last 4 hours
See NumberFilter
Number of trades in the last 12 hours
See NumberFilter
Number of trades in the last 24 hours
See NumberFilter
Number of trades in the last week
See NumberFilter
Price change percentage in the last 5 minutes
See NumberFilter
Price change percentage in the last 1 hour
See NumberFilter
Price change percentage in the last 4 hours
See NumberFilter
Price change percentage in the last 12 hours
See NumberFilter
Price change percentage in the last 24 hours
See NumberFilter
A phrase to search for. Can match market label, outcome labels, or event label.
A list of market IDs to filter by (further restricts within the event).
A list of market IDs to exclude from results.
A list of ranking attributes to apply.
See PredictionMarketRanking
Show Properties
Show Properties
Market-level attribute to rank by (use this OR outcome + outcomeAttribute)
See PredictionMarketRankingAttribute
Show Properties
Show Properties
Score from phrase matching (for search queries)
Which outcome to rank by (required when using outcomeAttribute)
See PredictionOutcomeIndex
Outcome-level attribute to rank by (requires outcome to be set)
See PredictionOutcomeRankingAttribute
Show Properties
Show Properties
The sort direction.
See RankingDirection
The maximum number of markets to return.
Where in the list the server should start when returning items.