S1 (a1): feature-promise audit — no claim survives unverified
PROMISE-AUDIT.md: every /pricing claim → verified/built/reworded. BUILT (was vapor): alt line ladder + edge ranking (same-features regrade at shifted lines, Desk-gated at the API), quarter-Kelly (engine quantile P(win) x real captured odds — either missing → no sizing), free-tier kill-condition locked previews. FIXED (was false): analyst 15/day cap vs the Founder 'Unlimited reads' promise → analyst unlimited; every '40+ factors' claim (real count: 22 named features) reworded truthfully in 7 files. VERIFIED: cascade alerts (real, wired), phi correlation, leg history, cross-book comparison, WC soccer, real-time feed. Locked by tests/unit/promiseAudit.test.js. Jest now ignores .claude/worktrees (parallel agents' suites no longer leak into runs). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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@@ -33,6 +33,9 @@ const TIERS = Object.freeze({
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engine2: false,
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stat_dashboard: true,
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api_access: false,
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// Session 62 (A1-S1) — Desk-only intelligence (pricing-page promises).
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alt_line_ladder: false,
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kelly_sizing: false,
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}),
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// Session 12 — $4.99/mo Africa tier. Slotted between free and analyst.
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// Same intelligence surface as analyst (reasoning + kill conditions
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@@ -49,9 +52,16 @@ const TIERS = Object.freeze({
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engine2: false,
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stat_dashboard: true,
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api_access: false,
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// Session 62 (A1-S1) — Desk-only intelligence (pricing-page promises).
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alt_line_ladder: false,
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kelly_sizing: false,
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}),
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analyst: Object.freeze({
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scans_per_day: 15,
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// Session 62 (A1-S1) — the Founder Access card promises "Unlimited
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// reads" and the Nav shows an ∞ badge for every paid tier; the 15/day
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// cap made both claims false. Analyst is unlimited; Desk differentiates
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// on capabilities (alt ladder, Kelly, feed), not on rationing reads.
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scans_per_day: Infinity,
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grade_visible: true,
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reasoning_visible: true,
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kill_conditions_detail: true,
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@@ -61,6 +71,9 @@ const TIERS = Object.freeze({
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engine2: false,
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stat_dashboard: true,
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api_access: false,
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// Session 62 (A1-S1) — Desk-only intelligence (pricing-page promises).
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alt_line_ladder: false,
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kelly_sizing: false,
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}),
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desk: Object.freeze({
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scans_per_day: Infinity,
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@@ -73,6 +86,8 @@ const TIERS = Object.freeze({
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engine2: true, // LLM deep analysis
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stat_dashboard: true,
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api_access: false,
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alt_line_ladder: true,
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kelly_sizing: true,
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}),
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});
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@@ -55,6 +55,10 @@ async function gradeBestSide(grade, prop, sport) {
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line: prop.line,
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sport,
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book: prop.book,
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// Session 62 (A1-S1) — real book odds ride into the engine so the
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// quarter-Kelly sizing can compute from actual prices (or not at all).
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over_odds: prop.over_odds ?? null,
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under_odds: prop.under_odds ?? null,
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};
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const sides = await Promise.all([
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Promise.resolve()
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@@ -406,6 +406,50 @@ async function analyzeViaEngine1(rawProp = {}) {
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// ledger model_value and rendered under the MODEL label on the card.
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legacy.projection = projection;
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// Session 62 (A1-S1) — ALT LINE LADDER + EDGE RANKING. The pricing page
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// sold it; the adapter/card were already built for it; nothing produced
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// it. Re-grade the SAME feature vector at shifted lines (zero extra I/O)
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// and rank by edge. Attached for every graded result; the API tier gate
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// strips it below Desk.
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try {
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const baseLine = Number(prop.line);
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if (Number.isFinite(baseLine)) {
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const ladder = [-1, -0.5, 0, 0.5, 1]
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.map((shift) => Math.round((baseLine + shift) * 100) / 100)
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.filter((ln) => ln > 0)
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.map((ln) => {
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const shiftedProp = { ...prop, line: ln };
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const g = engine1.gradeProp({ features, trap, consistency, prop: shiftedProp });
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const adapted = toLegacyShape(g, {
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player: rawProp.player, stat_type: rawProp.stat_type,
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line: ln, direction: prop.direction, book: rawProp.book || 'unknown', sport: meta.sport,
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}, { edgePct: edgePctFor(features, { ...shiftedProp, stat_type: rawProp.stat_type, direction: prop.direction }) });
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return { line: ln, grade: adapted.grade, edge_pct: adapted.edge_pct, base: ln === baseLine };
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})
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.sort((a, b) => (Number(b.edge_pct) || 0) - (Number(a.edge_pct) || 0));
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if (ladder.length > 1) legacy.alt_lines = ladder;
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}
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} catch { /* the ladder is additive — never breaks the read */ }
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// Session 62 (A1-S1) — QUARTER-KELLY. Real probability (quantile estimator
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// over the actual game logs) × real book odds, or nothing. Never derived
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// from confidence, never a default vig.
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try {
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const { estimateProbability } = require('./probabilityEstimator');
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const est = estimateProbability({ gameLogs: meta.gameLogs, line: prop.line, statType: rawProp.stat_type, features });
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const pWin = String(prop.direction || 'over').toLowerCase() === 'under'
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? (Number.isFinite(est.p_over) ? 1 - est.p_over : null)
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: (Number.isFinite(est.p_over) ? est.p_over : null);
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if (pWin != null) legacy.p_win = Math.round(pWin * 1000) / 1000;
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const sideOdds = String(prop.direction || 'over').toLowerCase() === 'under'
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? rawProp.under_odds : rawProp.over_odds;
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if (pWin != null && sideOdds != null) {
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const { quarterKelly } = require('../../utils/kelly');
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const k = quarterKelly(pWin, sideOdds);
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if (k) legacy.kelly = { ...k, odds: String(sideOdds) };
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}
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} catch { /* sizing is additive — absent beats wrong */ }
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return legacy;
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}
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@@ -0,0 +1,41 @@
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'use strict';
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/**
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* Quarter-Kelly sizing (Session 62 / A1-S1 — the pricing page promised it;
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* now it exists). Pure math, no I/O.
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*
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* DATA SEMANTICS: Kelly needs a REAL win probability and REAL book odds.
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* p comes from the engine's quantile probability estimator (game-log based);
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* odds come from the captured book row. Either missing → null — a sizing
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* recommendation is never fabricated from confidence scores or defaults.
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*/
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function americanToDecimal(american) {
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const a = Number(american);
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if (!Number.isFinite(a) || a === 0) return null;
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return a > 0 ? 1 + a / 100 : 1 + 100 / Math.abs(a);
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}
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/**
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* quarterKelly(p, americanOdds) →
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* { full, quarter, pct } — fractions of bankroll (pct = quarter × 100,
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* rounded to 0.1) — or null when p/odds are unusable or the edge is
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* non-positive (Kelly says: no bet).
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*/
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function quarterKelly(p, americanOdds) {
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const prob = Number(p);
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if (!Number.isFinite(prob) || prob <= 0 || prob >= 1) return null;
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const dec = americanToDecimal(americanOdds);
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if (dec == null || dec <= 1) return null;
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const b = dec - 1;
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const full = (b * prob - (1 - prob)) / b;
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if (!Number.isFinite(full) || full <= 0) return null;
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const quarter = full / 4;
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return {
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full: Math.round(full * 1000) / 1000,
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quarter: Math.round(quarter * 1000) / 1000,
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pct: Math.round(quarter * 1000) / 10, // % of bankroll at quarter-Kelly
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};
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}
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module.exports = { quarterKelly, americanToDecimal };
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+12
-3
@@ -46,14 +46,23 @@ function lockKillConditions(list) {
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*/
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function applyTierGating(result, tierName) {
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if (!result || typeof result !== 'object') return result;
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// Session 62 (A1-S1) — Desk-only intelligence is stripped at the API, not
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// just the adapter: alt line ladder + quarter-Kelly never leave the server
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// for lower tiers. (The pricing page sells them as Desk-only; the gate
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// makes that true at the wire.)
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const deskGated = { ...result };
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if (!canAccess(tierName, 'alt_line_ladder')) delete deskGated.alt_lines;
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if (!canAccess(tierName, 'kelly_sizing')) delete deskGated.kelly;
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if (canAccess(tierName, 'reasoning_visible')) {
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// Paid tier — pass through unchanged.
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return result;
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// Paid tier — everything else passes through unchanged.
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return deskGated;
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}
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// Free tier: keep grade + confidence + edge_pct (the hook), redact
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// reasoning + kill condition explanations.
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return {
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...result,
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...deskGated,
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reasoning: lockReasoning(result.reasoning),
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kill_conditions_triggered: lockKillConditions(result.kill_conditions_triggered),
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tier_gated: true,
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