Previous value: -"Player-prop rows: Owls prop category (1:1 counting stats). MLB: strikeouts_pitcher, hits, rbis, runs, strikeouts_batter, hits_allowed, earned_runs, outs_recorded. NFL/NCAAF: passing/rushing/receiving_yards, receptions. NBA/NCAAB: points, rebounds, assists, steals, blocks, threes_made. NHL: goals, hockey_assists, shots_on_goal. Main-line rows (bet_type set): the main-line family — h2h, spreads, or totals."New value: +"Player-prop rows: prop category (1:1 counting stats). MLB: strikeouts_pitcher, hits, rbis, runs, strikeouts_batter, hits_allowed, earned_runs, outs_recorded. NFL/NCAAF: passing/rushing/receiving_yards, receptions. NBA/NCAAB: points, rebounds, assists, steals, blocks, threes_made. NHL: goals, hockey_assists, shots_on_goal. Main-line rows (bet_type set): the main-line family — h2h, spreads, or totals."

Previous value: -"Main-line family filter (h2h, spreads, or totals). Tennis publishes h2h only. Ignored on prop-only sports."New value: +"Main-line family filter (h2h, spreads, or totals). Tennis publishes all three (moneyline, game-handicap, total-games). Ignored on prop-only sports."

Previous value: -"Main-line token when this row is a main-line forecast — ML_P1/ML_P2/ML_HOME/ML_AWAY/ML_DRAW, SPREAD_P1/SPREAD_P2/SPREAD_HOME/SPREAD_AWAY, or OVER/UNDER (same vocabulary as get_intelligence bets[].bet_type and list_ev). Null on player-prop rows — that's the discriminator between the two row shapes. Tennis moneyline rows set ML_P1 / ML_P2."New value: +"Main-line token when this row is a main-line forecast — ML_P1/ML_P2/ML_HOME/ML_AWAY/ML_DRAW, SPREAD_P1/SPREAD_P2/SPREAD_HOME/SPREAD_AWAY, or OVER/UNDER (same vocabulary as get_intelligence bets[].bet_type and list_ev). Null on player-prop rows — that's the discriminator between the two row shapes. Tennis sets ML_P1/ML_P2 (moneyline), SPREAD_P1/SPREAD_P2 (game handicap), and OVER/UNDER (total games)."

Previous value: -"Main-line family filter (h2h, spreads, or totals) for a sport's main-line forecast rows, once one exists. No sport publishes main-line forecasts today, so this has no effect yet. Ignored on prop-only sports."New value: +"Main-line family filter (h2h, spreads, or totals). Tennis publishes h2h only. Ignored on prop-only sports."

Previous value: -"Sport slug: mlb, ncaaf, nfl, nba, ncaab, or nhl."New value: +"Sport slug: mlb, ncaaf, nfl, nba, ncaab, nhl, or tennis."

Previous value: -"Main-line token when this row is a main-line forecast — ML_P1/ML_P2/ML_HOME/ML_AWAY/ML_DRAW, SPREAD_P1/SPREAD_P2/SPREAD_HOME/SPREAD_AWAY, or OVER/UNDER (same vocabulary as get_intelligence bets[].bet_type and list_ev). Null on player-prop rows — that's the discriminator between the two row shapes. No sport ships a non-null bet_type here yet."New value: +"Main-line token when this row is a main-line forecast — ML_P1/ML_P2/ML_HOME/ML_AWAY/ML_DRAW, SPREAD_P1/SPREAD_P2/SPREAD_HOME/SPREAD_AWAY, or OVER/UNDER (same vocabulary as get_intelligence bets[].bet_type and list_ev). Null on player-prop rows — that's the discriminator between the two row shapes. Tennis moneyline rows set ML_P1 / ML_P2."

Added value: +{
+  "description": "Main-line family filter (h2h, spreads, or totals) for a sport's main-line forecast rows, once one exists. No sport publishes main-line forecasts today, so this has no effect yet. Ignored on prop-only sports.",
+  "enum": [
+    "h2h",
+    "spreads",
+    "totals"
+  ],
+  "type": "string"
+}

Previous value: -"Selected forecasted wagers, highest conviction first. Read p_hit as P(side hits the posted line); conviction is the board rank. How + field catalog: https://lumify.ai/docs/forecasts"New value: +"Selected forecasted wagers, highest conviction first. Read p_hit as P(the picked outcome — side on prop rows, bet_type on main-line rows — hits); conviction is the board rank. How + field catalog: https://lumify.ai/docs/forecasts"

Added value: +{
+  "description": "Main-line token when this row is a main-line forecast — ML_P1/ML_P2/ML_HOME/ML_AWAY/ML_DRAW, SPREAD_P1/SPREAD_P2/SPREAD_HOME/SPREAD_AWAY, or OVER/UNDER (same vocabulary as get_intelligence bets[].bet_type and list_ev). Null on player-prop rows — that's the discriminator between the two row shapes. No sport ships a non-null bet_type here yet.",
+  "type": [
+    "string",
+    "null"
+  ]
+}

Previous value: -"American price for the chosen side, keyed by bookmaker slug (e.g. {draftkings: -453}). Posted market price for the side the model picked."New value: +"American price for the picked outcome, keyed by bookmaker slug (e.g. {draftkings: -453}). Posted market price for the side/bet_type the model picked."

Previous value: -"Signed contributions that moved p_hit. Read input as the player's measured rate and effect as how far that rate lifts the chosen side versus a league-mean player."New value: +"Signed contributions that moved p_hit. Read input as the measured rate/rating behind the pick and effect as how far it lifts the chosen outcome versus a baseline."

Previous value: -"Signed shift in p_hit versus a league-mean player on the same line. 0.0 on yardage markets."New value: +"Signed shift in p_hit versus a baseline case on the same line. 0.0 on yardage markets."

Previous value: -"e.g. player.l10_rate — the recent-form rate that fed Poisson."New value: +"Prop rows: typically player.l10_rate — the recent-form rate that fed Poisson. Main-line rows would use a different namespace once a main-line forecast model ships."

Previous value: -"Measured rate in counting-stat units per game after shrinkage."New value: +"Measured rate/rating behind this driver, in native units."

Previous value: -"Posted Over/Under main line the model was scored against."New value: +"Posted line the model was scored against. Prop and totals main-line rows: Over/Under number. Spreads main-line rows: the spread number. Null on h2h/moneyline rows."

Previous value: -"number"New value: +[
+  "number",
+  "null"
+]

Previous value: -"Owls prop category (1:1 counting stats). MLB: strikeouts_pitcher, hits, rbis, runs, strikeouts_batter, hits_allowed, earned_runs, outs_recorded. NFL/NCAAF: passing/rushing/receiving_yards, receptions. NBA/NCAAB: points, rebounds, assists, steals, blocks, threes_made. NHL: goals, hockey_assists, shots_on_goal."New value: +"Player-prop rows: Owls prop category (1:1 counting stats). MLB: strikeouts_pitcher, hits, rbis, runs, strikeouts_batter, hits_allowed, earned_runs, outs_recorded. NFL/NCAAF: passing/rushing/receiving_yards, receptions. NBA/NCAAB: points, rebounds, assists, steals, blocks, threes_made. NHL: goals, hockey_assists, shots_on_goal. Main-line rows (bet_type set): the main-line family — h2h, spreads, or totals."

Previous value: -"Model probability (0–1) that side hits line, from the player's shrunken counting-stat rate (Poisson vs the posted Over/Under). Optional research may nudge this by at most ±0.03; the side stays."New value: +"Model probability (0–1) that the picked outcome (side on prop rows, bet_type on main-line rows) hits. Prop rows: built from the player's shrunken counting-stat rate (Poisson vs the posted Over/Under). Optional research may nudge a prop's p_hit by at most ±0.03; the chosen side stays the same."

Previous value: -"Player display name from the priced line."New value: +"Player display name from the priced line. Null on main-line rows with no player attribution (bet_type is a match-level token like OVER/UNDER/ML_DRAW)."

Previous value: -"string"New value: +[
+  "string",
+  "null"
+]

Previous value: -"Lumify player ID. Bound by exact / Jr-stripped name match."New value: +"Lumify player ID. Bound by exact / Jr-stripped name match. Null on main-line rows with no player attribution."

Previous value: -"integer"New value: +[
+  "integer",
+  "null"
+]

Added value: +{
+  "description": "'home'/'away' for team sports or 'p1'/'p2' for head-to-head sports, set only alongside a non-null bet_type. Null for player-prop rows and for match-level main-line tokens (OVER, UNDER, ML_DRAW).",
+  "type": [
+    "string",
+    "null"
+  ]
+}

Previous value: -"Optional Deep Research overlay: {stance, conviction, note}. stance is validate / neutral / invalidate. Validate nudges p_hit up by at most 0.03 and lifts conviction; invalidate does the reverse. The chosen side stays. Null means read p_hit from the rate model alone."New value: +"Optional Deep Research overlay on high-probability wagers (p_hit ≥ 0.80): {stance, conviction, note}. stance is validate / neutral / invalidate. note is the wager-level why. Validate / invalidate rows always carry a note. Validate nudges p_hit up by at most 0.03 and lifts conviction; invalidate does the reverse. The chosen side stays. Null means read p_hit from the rate model alone."

Previous value: -"'over' or 'under' — the more likely side given the player's shrunken rate versus line."New value: +"Prop rows: 'over' or 'under' — the more likely side given the player's shrunken rate versus line. Null on main-line rows — read the picked outcome from bet_type instead."

Previous value: -"string"New value: +[
+  "string",
+  "null"
+]