The pricing Desk showcase hardcoded an alt-line ladder (1.5 A +7.1% / 2.5 A+
+11.4% / 4.5 C -3.8%), QUARTER-KELLY 2.4%, and PARLAY φ 0.34 — a mocked demo
selling something we weren't proving.
- deskShowcaseService reads the pre-graded snapshot for a real A/B prop's
alt-line ladder (prefers the one with the most grade variation — the most
compelling real example). Edge per rung shows only when it's a plausible
market value; the inflated (model-line)/line artifact on small lines is
guarded to "—" rather than shown as a fake +91%.
- PARLAY φ is now REAL: the model's same-team correlation (0.34, mirroring the
frontend parlayMath team constant) computed for TWO REAL same-team legs,
named. No real same-team pair on the board → the tile hides, never an
invented number.
- QUARTER-KELLY tile is REMOVED: the snapshot has no odds, so a real
quarter-Kelly % can't be computed here — a fabricated 2.4% is worse than
nothing. Kelly stays a real in-app Desk feature; the showcase just doesn't
fake it.
- DeskShowcase is now a client component fetching /api/desk-showcase; when the
board has no real ladder the whole visuals column hides (real-or-hidden, same
law as the hero). The pitch copy is unchanged.
5 service tests. Change-affected suites green, web build exit 0.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The landing hero was a static Jokic "Example" card with a name-length pick and a
hardcoded A- 73% +6.2% fallback. Now it's deterministic and live:
- heroPropService.pickHeroProp reads the pre-graded snapshot and selects the
prop with the LARGEST |projection - line| gap among A/B grades (conviction,
not noise) — the read where VYNDR disagrees most with the market, the card
that makes a stranger argue. No curation, no grading (reads cache → no API
credits). GET /api/hero-prop (backend) + repointed Next proxy.
- The card shows the disagreement EXPLICITLY: the book's line vs VYNDR's model,
side by side (model in green), with the real grade timestamp ("Graded 2:14
PM"). The EXAMPLE chip is gone.
- Empty slate → the MOST RECENT real graded read (flagged "LATEST READ", real
date). Nothing cached → { available:false } and the card HIDES. No
hand-written fallback — the Jokic card is deleted. Survives a dead night: a
live rule shows tonight's real MLB read, never a phantom July NBA card.
7 service tests lock the rule (max-gap, A/B gate, projection/line required,
empty→recent, hidden, cross-sport). colorContract updated to the new
disagreement display. Change-affected suites green, web build exit 0.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
ClaimMeter rendered a fabricated "47 / 100 CLAIMED" (a hardcoded default; the
comment even said "Cosmetic conversion driver… Static here"). Now:
- GET /api/founders/count counts ONLY real paying founders — user_profiles
where founder_pricing = true AND subscription_status = 'active' (the
Stripe-webhook-synced mirror, so we never hammer the Stripe API). Cached 5
min in Redis on top of that.
- If the source is unavailable (Supabase unconfigured, query error, column not
migrated, client throws) the endpoint returns { available: false } and the
ClaimMeter renders NOTHING — counter and progress bar both hidden. We never
fall back to a number.
- A low real count is shown honestly (0 → "0 / 100"); the truth is the feature.
Next proxy at app/api/founders/count. 6 route tests cover real count, low
count, error/unconfigured/throw → hidden, and cache-hit. Suite 271/3260 green,
web build exit 0.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
FREE ESPN news wire + championship-winner futures for the never-dark
offseason hub. Both graceful/empty, never fabricate a market value.
- newsService (mirrors injuryService): per-sport ESPN /news FEEDS, pure
parseNews → { sport, items:[{id,headline,description,published,type,
athlete?{name,key},team?,href}] }; athlete/team from categories[] only
(absent when not present). Cache 15m, injectable, offline-tested.
- oddsNormalizer.normalizeOutrights: NEW branch — outrights outcomes are
{name,price} with no point, so normalizeProps drops them; keeps them with
best-price-across-allowed-books per selection. + americanToDecimal.
- oddsService.FUTURES_KEYS: separate map (mlb/nba/wnba championship winner),
OUT of the daily SPORT_KEYS/snapshot budget.
- futuresService: getFutures(sport,deps) → { sport, updated_at, markets:
[{key,title,selections:[{name,price,prevPrice?,move?}]}] }. One outrights
call per 12h TTL (quota-disciplined), FUTURES_ENABLED gate. Price-move
(shortening/drifting/flat) mirrors computeLineDeltas SHAPE on odds not
line; prev prices persisted inside the futures:{sport} value (no new key).
linkNewsToMoves pure causal-tie helper.
- Routes /api/news/:sport + /api/futures/:sport (registered) + Next proxies.
- Tests: newsService, futuresService, oddsNormalizerOutrights (fail→pass,
no network). Full suite green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
MLB statsapi + WNBA ESPN live boxscores -> per-player current values
(live:{sport}:{date} TTL 90s, /api/live/:sport + Next proxy). Pure
propState math (HIT / ON PACE / NEEDS N / HOLDS / LINE PASSED — never
red in-progress), attachLiveProgress strip join on nameKey+statType,
proximity-to-hit slate float, StatStrip LiveTracker in the ROW-GRAMMAR
outcome slot (spec amended + lock test updated). Grades never change
in-game — tracking, labeled as such. 2698 -> 2757 tests, web build 0.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
tesseract.js (self-hosted WASM, Apache-2.0) + pure per-book layout
parsers (DK/FD/MGM/Caesars) with per-field confidence and needs_review
honesty — the reader never guesses. POST /api/slips/parse (auth, free
1/day paid 10/day, 4MB cap) + Next proxy. Gated /slip page: upload or
paste, manual-correct UI, per-leg grades through the normal engine
(refusals render honestly), add-all to Parlay Lab, share card. Vision
model upgrade logged post-revenue. 2574 -> 2608 tests.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
4a VOICE v1.1 committed (board start); lint is EXECUTABLE — banned list +
no-exclamation law enforced in the engine (throws in test, drops in
prod) and locked by tests. Curly-apostrophe variants covered.
4b mediaEngine: deterministic templates (MORNING WIRE, SIGNAL, STREAK
WATCH, THE SETTLE, RECEIPTS, ARCHETYPE WATCH, LINE DISPATCH) filled
ONLY from snapshot/ledger/streaks JSON. Record percentages never render
under n>=20 (counts + 'Record building' below). Stark layer = curated
committed library (content/stark-lines.json), day-rotated selection —
selected, never generated.
4c /desk (founder-only: requireAuth + DESK_OWNERS email allowlist,
deny-by-default): all formats as text + <=280-char pre-segmented tweets
with per-tweet copy buttons + char counts, wire/numbers-only variants,
DATA BRIEF block (structured day numbers) with copy-for-claude.ai.
ntfy ping after the day's first snapshot: 'Desk pack ready'.
4d ghostPublisher: DRAFTS ONLY (status:'draft' test-locked), env-gated
no-op, HS256 JWT via node crypto (zero new deps). POST
/api/internal/ghost/drafts saves slate preview + settle drafts.
Nothing anywhere auto-posts.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Email capture + daily report assembly + operator-triggered Listmonk send.
- NewsletterCapture (dark terminal, mono) on landing (below FAQ) + /welcome
(the real signup success surface); double-opt-in note; 'Signups open soon'
when Listmonk env is unset.
- POST /api/newsletter/subscribe: public, 10/min IP limit, honeypot,
server-side email validation, forwards to Listmonk subscribers API with
preconfirm_subscriptions:false (Listmonk sends the confirmation).
No env -> calm 200 { ok:false, reason:'not configured' }. Next proxy
web/src/app/api/newsletter/subscribe/route.ts (S25 rule).
- newsletterService.buildDailyReport: signals from snapshot:{sport}:latest,
STREAK WATCH via rosterLogs -> streaksService -> streakLens, THE RECORD via
ledgerService.getModelAggregate (percentage only when hit_pct != null —
n>=20 gate — else 'RECORD BUILDING · N pending'). RG footer (21+,
1-800-GAMBLER, Listmonk-native {{ UnsubscribeURL }}) in html + text.
VOICE v1.1 lint locked by tests: no '!', no banned vocabulary, numbers
only from injected pipeline data.
- sendDailyReport: creates + starts a Listmonk campaign; env-gated no-op;
refuses an empty report. Deliberately UNSCHEDULED — only
POST /api/internal/newsletter/send (internal key) triggers it.
- docs/NEWSLETTER.md: box-side Listmonk runbook (install, double-opt-in
list, API user, Coolify env, test-send).
- Spec: specs/feature-a1-s7-newsletter.md.
Tests 2398 -> 2429 (207 suites, all green); next build exit 0.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
5.1 Archetype defined on-page: one line from the archetype library under
ARCHETYPE DNA (BOMBER — elite raw power…); expander keeps the long form.
5.2 VYNDR-on-team live: getModelAggregate team scope (migration-020 column)
+ /api/ledger/model?team= + ModelRecord mounted on the Team Hub header.
5.3 WNBA/NBA profile parity: minutes-based usage (+MIN season cell) when
the feed carries minutes — absent beats invented.
5.4 Settings read meter: real rolling-24h usage from the SAME store the
limiter enforces (GET /api/user/scan-meter + proxy). Metered tiers see
'X of N reads today' + bar; unlimited tiers see nothing. Corrects the
stale '5 scans / month' copy.
5.5 Per-tier calibration on the MODEL tab: A+/A/B/C chips with hit% at
n>=20 PER TIER, 'building (n/20)' below — the separation between tiers
is the proof the grades mean something.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
4.1 ROOT CAUSE of 'Ohtani returns nothing': no backend
/api/players/search existed (MLB 404'd; NBA/WNBA hit the offline
Python service). New Express route + mlbStatsAdapter.matchPlayers —
canonical nameKey fuzzy match (exact > last-name prefix > folded
substring). LIVE-VERIFIED vs the real 1,299-player list: Ohtani /
Aaron Judge / Sánchez / sanchez / Chisholm Jr all resolve; accented
and unaccented return identical results. Non-MLB matches the
platform's cached names (rosterlogs + grades), cache-only.
4.2 Reveal choreography per §7: analyzing steps → DECLASSIFIED stamp →
90ms-staggered context panels (entrance floors visible per the
Phase-0 rule); prefers-reduced-motion skips straight to the card.
4.3 PRIOR READS chips on scan results — the model's public ledger
history for the player (deferred-render, outcomes + pending, never
invented). /api/ledger/model gains ?player= on entries.
4.4 Parlay Lab: humanized stat labels via the ONE shared formatter
(lib/gradeAdapter.statLabel); 1-leg provisional grade ('Leg grade:
B — add a leg for the combined read'); discoverable entry — Nav
'Parlay Lab' item opens the drawer via window.__openParlay, and the
open drawer now renders an honest empty state at 0 legs.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Product overhaul core — the two transformative, differentiated systems:
Self-learning loop (Phase 2): outcomeService settles locked snapshot grades
against real MLB Stats API results → hit/miss/push, rolling accuracy by grade
tier (30d window). Idempotent, injectable, unit-tested. New GET /api/accuracy +
/api/ledger/accuracy + internal settle triggers + cron hook. AccuracyBadge
(dashboard/scan/landing) is honest — "LEARNING" below MIN_SAMPLE, never a fake
number. Settled HIT/MISS chips overlay the live slate.
Real-time layer (Phase 1): Slate silent 60s auto-refresh (no flash, no wipe on
transient blips) + "SIGNAL LIVE · UPDATED Xs ago" freshness strip; Ticker LIVE
badge that flashes on fresh events.
Landing (Phase 3): TopSignals shows tonight's real top-3 A-rated grades + live
accuracy — the product shown, not described.
Founder pricing: FOUNDER_CODE_EXPIRY default 2026-06-30 → 2026-12-31 (had
lapsed, disabling every founder code + the ClaimMeter pitch). That expiry — not
a tier change — was the real cause of the 4 stripe test failures.
Backend 2255 (4 failing) → 2274 (all green; +19 new, +4 fixed). Web build exit 0.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The on-demand "Read" grade model is RETIRED. A scheduled pipeline pre-grades the
slate, locks grades to the line, tracks movement; the dashboard shows them already
there. Orchestrates existing services — nothing rebuilt.
- snapshotService.runSnapshot(sport): getOdds → gradeAndCacheSlate → classify
archetype per player → lock gradedAt → line deltas vs previous snapshot → write
snapshot:{sport}:latest/previous + grades:{sport} → ticker events. Fully
injectable, zero-network unit tests. runAllSnapshots = cron entrypoint.
- Internal trigger POST /api/internal/snapshot/:sport + /all (requireInternalAuth).
In-process cron (SNAPSHOT_CRON=1, UTC 14,19,22,1,3) in server.js, no new dep.
- Public reads: GET /api/snapshot/:sport (cache-only) + GET /api/ticker (merges
TICKER_MANUAL pins) + Next proxies.
- GameCard swap: live Slate renders vyndr/GameCard (legacy kept for types only),
overlays locked grades onto game props → player name once + archetype badge +
"Graded Xh ago at -115 · Current 2.5 · ▲ TOWARD +1.0". Ungraded → "Awaiting next
scan", NO Read button. On-demand onGrade flow deleted.
- Ticker polls /api/ticker every 30s, graceful fallback to hardcoded items.
- NBA/WNBA: espnStatsAdapter free fallback (defensive parse → found:false on shape
mismatch) wired into resolvePlayerStats after the offline Python service.
Env: PROPLINE_API_KEY_1/2/3, VYNDR_INTERNAL_KEY, SNAPSHOT_CRON=1, TICKER_MANUAL.
Backend 2061 -> 2100 tests (+39), 173 suites. Web build clean (exit 0).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Subscription billing:
- POST /api/stripe/checkout — creates Stripe Checkout session
- POST /api/stripe/webhook — handles lifecycle events (raw body)
- POST /api/stripe/portal — customer self-service management
- GET /api/stripe/status — current subscription info
Founder code system:
- Validates codes against env var list with expiry date
- Routes to founder Stripe Price IDs (locked rate for life)
- 4 price objects: analyst, analyst-founder, desk, desk-founder
Webhook events handled:
- checkout.session.completed → tier update + founder status
- customer.subscription.deleted → revert to free tier
- invoice.payment_failed → logged
Lazy Stripe init (no API key required at import time).
Raw body middleware for webhook signature verification.
16 new tests, 237 total (210 Node.js + 27 Python), all passing.
Phase 3 Web MVP COMPLETE. All roadmap features shipped.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Three submission methods:
- POST /api/bets/quickslip — structured bet entry
- POST /api/bets/screenshot — stub OCR with confirm flow
- POST /api/bets/sync — coming soon stub
Full bet lifecycle:
- PATCH /api/bets/:id/settle — settle with outcome, recalculates performance
- GET /api/bets — list with status/book/pagination filters
- GET /api/bets/performance — ROI, win rate, profit (weekly/monthly/all_time)
Payout calculator handles straight bets (American odds) and parlays
(multiplied leg payouts). Performance service recalculates on each
settlement and upserts into performance table.
33 new tests, 221 total (194 Node.js + 27 Python), all passing.
All backend features for Phase 1 + Phase 2 now complete.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Line movement system:
- Baseline capture on first odds fetch of the day
- Movement detection >= 0.5 points with direction (up/down)
- Sharp money heuristic (sharp_action/public_action/unknown)
- GET /api/movements with player, stat_type, min_movement filters
- Movements included in GET /api/odds/nba live responses
Cascade detection system:
- Scratch detection: player props disappear from 2+ books
- Affected user lookup via scan_sessions + picks
- Parlay re-grade without scratched legs
- cascade_alerts created for affected users
- GET /api/alerts (Analyst/Desk only), PATCH /api/alerts/:id/read
Zero extra Odds API credits — all detection piggybacks on existing fetches.
Migration 002: line_baselines, line_movements, cascade_alerts tables.
30 new tests, 188 total (161 Node.js + 27 Python), all passing.
Phase 2 Core Product COMPLETE.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Core intelligence for BetonBLK prop analysis:
- POST /api/analyze/prop — single prop analysis
- POST /api/analyze/batch — multi-prop analysis for parlay scanner
- 6-step pipeline: season avg → recent form → situational splits →
cross-book lines → kill conditions → grade (A/B/C/D)
- 6 kill conditions: low_minutes, small_sample, b2b_high_usage,
blowout_risk, split_conflict, no_opponent_data
- Composite scoring with confidence (30-95), bonuses, penalties
- Added spreads market to Odds API fetch (zero extra credits)
- Full reasoning output with step-by-step breakdown
36 new tests (unit + integration), 128 total across all features
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
builtbykev