f61ec6b39135a153fba76e3b89d226f1bea8fedd
12 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 builtbykev
|
6c97f59546 |
WNBA truth correction + THE p_win FLIP (live, rollback armed)
PART A -- WNBA TRUTH CORRECTION (no behaviour change).
WNBA does not "abstain" and is not "anti-predictive". The -0.12 that
produced those words was NBA-template machinery run on WNBA data -- WNBA
has never had its own archetypes, variables, conditions or calibration,
which is precisely the "sport stubbed in on another sport's template"
CLAUDE.md forbids. That is an UNBUILT MODEL'S EXPECTED FAILURE, not a
verdict on the sport; reading it as a verdict would quietly retire a sport
we never actually attempted. Its own build is QUEUED, after MLB.
The guard CODE is unchanged -- FORECAST_RANKED_SPORTS = {'mlb'} and the
inheritance test are correct live safety either way. Only the meaning is
corrected, and generalised into the doctrine-as-a-gate: a sport ranks on
p_win ONLY once its OWN model is built and shown to predict (calibration
AND resolution on its own holdout). Others are held out as NOT-BUILT,
never as failed. Re-labelled across gradeRanking, snapshot route, tests,
MASTER-PLAN and the challenger report.
PART B -- THE FLIP, gated on a full-slate re-run.
The re-run found something better than a bigger sample. An induced
snapshot graded 7 props: gradeAndCacheSlate runs with DEFAULT_LIMIT = 25
and ~72% of those refuse for insufficient_data, while 546 props are
gradeable. So 8 props IS the board, structurally -- not a small sample of
it. Logged as its own finding; the cap is a separate order.
For a statistically meaningful delta I used 11 real historical boards
(n=328, board sizes 14-57): 79.9% of rows move, mean 5.16 places per
board, TOP READ CHANGES ON 9 OF 11 BOARDS. The re-ordering holds at real
board size. Query committed.
FLIPPED:
- rankGrades drops its edge key (safe for every sport: removes a
non-predictive tiebreak without putting p_win in front).
- selectTopGrades leads on forecast_rank, edge key removed.
- flattenToEdgeBoard sorts on forecastRank, not edge -- this board had
edge as its PRIMARY key, so the whole mobile board was ordered by a
quantity measured not to predict.
- forecast_rank threaded onto strip props.
Sports whose model is not built supply no forecast_rank, so their boards
fall through to the unchanged grade chain -- the fallback is the guard.
ROLLBACK ARMED: boards sort by forecast_rank WHEN PRESENT, so
FORECAST_RANK=0 reverts every surface on the next response -- no deploy,
no client release.
Edge is still computed, stored, carried and displayed as a labelled
diagnostic. Retired from ranking, not deleted.
Eight superseded tests updated to strictly stronger INVERSE properties --
they now fail if edge is ever re-introduced as a ranking key, which the
originals could not detect.
Gates: 4,045 tests / 323 suites green; next build exit 0.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QJs13VsyiSKYQP6rj3NNmc
|
||
|
builtbykev
|
ef4ac60b81 |
Per-sport rank guard + edge diagnostic-only display + delta report
DELTA MEASURED on live prod grades (live ordering unchanged): MLB 7/8 props move (87.5%), mean 2.5 places, TOP READ CHANGES (corey seager hits 1.5 under -> jake burger hits 0.5 over). WNBA 25/25 move, mean 4.1, max 12. This is a large re-ordering, not a tweak. Caveat recorded rather than buried: MLB had only 8 graded props at measurement time. The percentages are real; the sample is one small slate. Re-run before the flip -- it is one call. PER-SPORT DOCTRINE ENFORCED IN CODE. WNBA moves the most and must NOT adopt this: its p_win is anti-predictive, so ranking that board by p_win would sort it by a signal measured to point the WRONG WAY -- worse than the incumbent, not better. A comment would not have stopped a future flip from going global, so FORECAST_RANKED_SPORTS = Set(['mlb']) gates the forecast_rank stamp, with tests asserting no sport inherits MLB's result. A sport joins only by passing its own holdout. EDGE IS NOW DIAGNOSTIC-ONLY IN DISPLAY. MobileEdgeBoard.EdgeCell rendered green (--g-a) for positive edge and red (--miss) for negative. Two things were wrong: green/red IS a quality claim on a quantity that does not predict, and ROW-GRAMMAR reserves red for settled-negative ONLY -- a negative diagnostic is not a settled loss. Now neutral mono with a diagnostic tooltip; header reads "MKT GAP · DIAGNOSTIC". The number is still shown -- no display went blank. DeskShowcase neutralised likewise. PINNACLE LOGGED, NOT ENSHRINED. Per the order, "market-not-sharp" is PENDING-RECOVERY rather than a confirmed permanent limitation. The single question for PropLine is in BLOCKERS.md with its evidence, and MASTER-PLAN now carries the pending status instead of the permanent claim. Live sorts remain byte-identical: selectTopGrades, flattenToEdgeBoard and topGradedService all still call the incumbent. Gates: 4,041 tests / 323 suites green; next build exit 0. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01QJs13VsyiSKYQP6rj3NNmc |
||
|
builtbykev
|
86d123945c |
Rank on p_win: challenger instrument + retire edge from decisions
MEASURED BASIS (n=200 settled MLB rows): corr(p_win, outcome) = +0.26; corr(edge, outcome) = -0.010 incumbent ruler / -0.022 consensus ruler. Subtracting the market destroys the signal under BOTH rulers, so a quantity that does not predict must not rank, gate or decide. CHALLENGER-FIRST -- live ordering is byte-identical. rankGrades (the incumbent, grade-first with edge as its 4th key) is untouched and tested as untouched. NEW: rankByForecast -- takeable-gated p_win -> grade -> confidence -> stable order, with NO edge term anywhere. p_win LEADS and the letter follows, deliberately: the letter measured r ~ 0.005 and is inverted (B 52.4% < C 56.9%) while p_win measures +0.26, so leading with the letter would sort by the weaker signal and use the stronger one only to break ties. Recorded in the code: isotonic calibration is a MONOTONE transform, so ranking on raw vs calibrated p_win gives the SAME ORDER. Calibration matters when p_win is displayed or thresholded; it cannot change a ranking. Nothing here needs the calibrated value. rankingDelta + GET /api/internal/ranking-delta measure how far the board would move before any flip. The endpoint reports p_win coverage alongside the delta -- if p_win is absent the challenger degrades to grade order and the delta UNDERSTATES, which is worth saying rather than reporting a clean zero. forecast_rank is stamped on snapshot grades BEFORE stripModelPrice, so every tier gets the correct order without the paid values (the topGradedService precedent -- an ordinal can travel where the magnitude cannot). Additive only: nothing sorts by it yet. RETIRED AS DECISIONS (not rankings, so done now): - altLineScanner.compareToBookImplied no longer returns value_detected: edge > 0. Edge is still COMPUTED and returned -- losing the record would be worse than mis-using it -- but the verdict is an honest null with value_basis: 'retired:edge_does_not_predict'. - scanAltLines no longer filters to edge>0 or calls the survivor "optimal". The whole ladder is returned ranked and labelled 'price_gap_diagnostic_unvalidated'. The module has ZERO callers (verified) -- unwired like mlbGrader.js, left in place and made honest. An honest asymmetry recorded there: ranking props AGAINST EACH OTHER must not use edge, but choosing between RUNGS OF THE SAME PROP is inherently price-relative -- ranking rungs by model probability alone would always pick the lowest line, since P(over 0.5) > P(over 2.5) by construction. So the gap stays the rung key, explicitly labelled unvalidated. Two superseded tests updated to stronger properties. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01QJs13VsyiSKYQP6rj3NNmc |
||
|
builtbykev
|
713f90183f |
Build 1 CORRECTED: itemized grades are PAID (live AND settled) — exploit killed
Serving/gating change only. src/services/ untouched: no grade, model or
settlement-logic change. Pricing = Build 2, migration = Build 3.
WHY THE PRIOR GATE WAS WRONG: freeing grades at resolution made the free tier a
ONE-DAY-DELAYED FEED OF THE WHOLE PRODUCT — settlement is nightly, so a bettor
watching one cycle behind got the entire method free. There is now NO
per-grade resolution flip: an itemized grade, tonight's or last week's, is
Analyst+.
FREE now gets, none of it itemizing the nightly slate:
1. the full data aggregator (unchanged — schedule, per-book lines, stats,
streaks, hubs)
2. the AGGREGATE track record, which ALREADY EXISTS and is public:
/api/accuracy (sample 937, byGrade tiers, per-sport mlb+wnba, min_sample 20)
and /api/ledger/accuracy (per-grade buckets). The honest-record laws are
already honored there — A/D/F return pct:null under the n>=20 threshold
rather than a fake percentage.
3. a CAPPED, day-rotated sample of resolved calls for texture: cap 3, stable
within a day, rotates across days, and only RESOLVED rows are eligible so a
live read can never be sampled. The cap is what kills the exploit — three
rotating past calls cannot reconstruct a nightly slate, whereas the full
settled list is the feed one cycle late.
4. the locked shell of tonight's reads: they exist, and their shape.
EVERY itemized grade for an unentitled tier now loses grade, confidence,
confidence_basis, reasoning, kill_conditions_triggered, projection, edge_pct,
matchup_grade, form, alt_lines and kelly, and is stamped locked. Free-side DATA
survives so the board still reads as real: player, market, line, book_odds,
fair_odds (the de-vigged fair number is the free hook and is never the paywall),
season/last10 stats, archetype — and `outcome`, because a RESULT is a fact
rather than a judgment.
The tease stays aggregate-only (live_locked {count, tiers}) computed from the
ungated rows and never joined back to one, and no gated row carries a grade, so
nobody can work out which prop is the A.
Floor: 319 suites / 3970 tests green, web build exit 0.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QJs13VsyiSKYQP6rj3NNmc
|
||
|
builtbykev
|
6d36e05bfe |
Build 1: the settled/live gate — unresolved is paid, resolved is free
Serving/gating change only. src/services/ untouched (git diff empty): no grade,
model or settlement-logic change. Pricing and migration are Builds 2 and 3.
Push scoring untouched.
THE RULE: a grade is PAID while its outcome is unknown and becomes FREE the
moment it resolves.
Resolution is read ONLY from a written outcome — never from time, game status or
gradedAt. A game can be final long before the settle pass runs, so treating
"probably over" as settled is exactly how a live edge would leak; a test asserts
an hours-old gradedAt with no outcome is still LIVE. void and unrecoverable ARE
resolutions (terminal results, no live edge left). isResolved FAILS CLOSED:
null outcome, {} with no result, and empty-string result all read as LIVE, so a
settlement failure withholds content rather than exposing it — the same
direction resolveTierFromRequest fails.
FREE/ANON: settled grades pass through IN FULL, reasoning and kill conditions
included — settled reads are the proof product and cost nothing once the outcome
is known. That also converts the previously-unenforced board reasoning leak into
a deliberate rule rather than an oversight.
LIVE grades for unentitled tiers are reduced to a shell: every piece of model
JUDGMENT is dropped (grade, confidence, confidence_basis, reasoning,
kill_conditions_triggered, projection, edge_pct, matchup_grade, form, alt_lines,
kelly) and `locked: true` is stamped so the card renders the unlock prompt. The
free-side DATA stays so the tease is real rather than empty: player, market,
line, book_odds, fair_odds, season/last10 stats, archetype, gradedAt, history.
fair_odds deliberately survives — the de-vigged fair number is the free hook and
is never the paywall. A test asserts the serialized free row carries no trace of
the withheld judgment.
THE TEASE IS AGGREGATE ONLY: live_locked = {count, tiers} computed from the
ungated rows and never joined back to one, and no gated row carries a grade — so
a free viewer learns that N reads exist and their tier shape without being able
to work out WHICH prop is the A.
Gate order in the route: stripModelPrice (S67) first, then gateLiveGrades.
Entitled tiers get the array back by reference — zero cost, zero change.
Floor: 319 suites / 3971 tests green (10 new), web build exit 0.
One test note: the route-level supertest case was removed deliberately — it
needs a live Redis and hangs on ioredis' reconnect timer in a single-suite local
run (known behaviour, CLAUDE.md). The gate contract is fully covered by pure
tests; the wire is verified against prod anonymously in the fingerprint.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QJs13VsyiSKYQP6rj3NNmc
|
||
|
builtbykev
|
fbcb00b7b1 |
Close the public model-price leak; wire the read card's price layer
PHASE 0.5 GATE — the three checks, and one correction.
`fairLine` does not exist. Zero hits across src/ and web/src. Option A as
written had no referent, but it resolves better than feared: `fair_odds` is
already a real de-vigged American price on every graded snapshot row, so there
is nothing to derive.
Gate 1 (is it a price): PASS. fair_odds is American odds from
impliedProbToAmerican inside devigTwoWay; fair_prob is the probability. Both
distinct from `line`, the stat threshold.
Gate 2 (numeric match): PASS, 8/8 exact. Recomputed fair_odds and fair_prob
independently from the stored raw over/under prices; every value matched the
stored one to the integer and to 3dp. Same de-vig, same numbers the component
was proven against.
Gate 3 (poison independence): PASS, and proven on the quarantined cohort
itself. devigTwoWay's inputs are (over_odds, under_odds) — market prices
only, no model term is reachable. The 8 rows recomputed above are all
wrong_opponent_grade rows, and their fair prices reproduce exactly from the
market. The poison is in the grade, not the price. Quarantine therefore
suppresses the MODEL leg only; the fair leg stands, as designed.
THE LEAK WAS REAL AND ALREADY LIVE. GET /api/snapshot/:sport is public and
unauthenticated, and it was serving model_odds, p_win, ev_pct, value and
takeable to anonymous callers on every graded row — 25 of 25 on the live wnba
board. The Session-66 gate on /api/analyze was bypassed entirely by this
endpoint.
The strip covers more than model_odds, because model_odds is not the only way
to read the model price: p_win IS the price in another base, and ev_pct is
INVERTIBLE — ev is a function of p_win and book_odds, and book_odds is public,
so leaving ev behind hands the price over. All five model-derived fields go.
book_odds, fair_odds, fair_prob, overround and devig_method stay on every tier:
the fair leg is never the paywall. Rows that keep a book+fair pair are stamped
model_price_locked so a gated price is never mistaken for a missing one.
Tier comes from resolveTierFromRequest, which reads a bearer token when one is
present and otherwise returns 'free'. It FAILS CLOSED on every error path, so a
resolution failure can only ever withhold the price. The response now varies by
entitlement, so the /:sport handler downgrades Cache-Control to private for
authenticated callers and the browser proxy forwards the bearer token —
otherwise a CDN could hand a paid payload to an anonymous viewer, or every
request would look anonymous and paid users would lose the leg.
READ CARD — a manual scan carries no market. The request is {player, stat,
line, direction}, so the engine has no over/under prices to de-vig and
book_odds/fair_odds are legitimately absent from its response; that is why the
triplet was hidden there. lookupSnapshotPrices recovers them from the
pre-graded snapshot via the same cache-only read this route already performs
for locked odds and team. The join is exact on player + stat + line + side
(fair_odds is side-specific), and returns nothing unless book and fair are BOTH
present — a user-chosen line the board never graded has no market attached, so
the triplet stays hidden rather than borrowing another line's price.
FAIR-LEG ABSENCE, measured before shipping: 636 graded rows, 636 with book,
636 with fair, 0 one-sided. Absence rate 0.0%. The hero number is not a
sometimes-number on current data.
Tests 3556 passed / 291 suites, web build exit 0.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01VCNgGSt5qvcLxaeQqa7Zpj
|
||
|
builtbykev
|
7712f0a442 |
Heartbeat honesty: SYNC badge reads refreshed_at, not grade-lock updated_at
The "SIGNAL LIVE vs STALE 8h" contradiction was a field mismatch, not a dead pipeline. updated_at is the grade-LOCK time (advances only on a full snapshot, 5×/day — grades never change in-game, so it is intentionally stable). The SYNC badge measured the 20-min intraday cadence (expected_interval_s=1200) against that 5×/day field → structurally guaranteed STALE between slots even when intraday refreshes lines perfectly. - snapshotService: full snapshot now seeds refreshed_at at lock time - intradayRefresh already bumps refreshed_at every ~20 min (unchanged) - /api/snapshot/summary + GET /:sport now expose refreshed_at (was written to Redis but never serialized → no public liveness signal existed) - LiveLayer SYNC badge measures freshness from refreshed_at (fallback updated_at) Exposing refreshed_at also gives a public heartbeat probe: it advances every intraday slot, so pipeline liveness is verifiable without container logs. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
||
|
builtbykev
|
d3637e7abd |
S6 (a1): display — the full picture under the grammar
- specs/ROW-GRAMMAR.md: the row grammar law (slot order, color law, mark
law, mobile stacking, no-truncation), locked by tests/unit/rowGrammar.
StatStrip violations fixed: MovementChip before the grade (market
context before model output); ViabilityChips after the archetype
(identity is one contiguous run).
- Line-movement sparklines: intradayRefreshService.trackHistory captures
real {t,line} points per grade (seeded with the lock, deduped when
flat, capped 24) inside the snapshot write-back; StatStrip.LineSparkline
renders at >=3 points (green toward / amber against / dim flat).
- Last-10 dot strips: services/last10Dots (streaksService accessors) ->
/api/snapshot/:sport attaches last10_dots from rosterlogs:{sport};
StatStrip.DotStrip renders vs the LOCKED line, newest first.
- CLV distribution: getModelAggregate emits clv_distribution (7 signed
buckets, outliers clamped) only past the centralized n>=20 gate;
ledger MODEL header renders the bar strip.
- Global search: SearchModal (cmd-K via GlobalHosts + window.__search),
players via /api/players/search per sport + static lib/teams.js
(soccer deliberately absent); Nav search icon + Search first in the
mobile More sheet. Explore tab untouched.
- Landing LCP: fade-up floored at opacity .6 (hero h1 contentful on
first frame, S33 visible-floor rule) + IBM Plex Mono preload:false
(4 decorative font files off the slow-4G critical path).
2654 -> 2698 tests (226 suites) green; web build exit 0.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
|
||
|
builtbykev
|
d296e40cb6 |
Session 58: Phase 1 — Truth Infrastructure (2327 tests)
ledger_entries is live (migration 019 applied to prod, RLS + NULLS NOT
DISTINCT dedupe verified against the real database). Every grade now
persists, settles against the real result, and carries closing-line value.
- ledgerService: pipeline pre-grade upserts (public model record, user_id
null, idempotent), closing capture on every snapshot (last write before
game start = the close), settlement with SIGNED CLV (over = locked -
closing; beat/faded/flat), 30d model aggregate with the hard n>=20 rule.
- Write paths: snapshotService -> ledger (priority path); Next /api/scan ->
ledger for authenticated users only (anon never touches the public
record). Refused reads write nothing and don't burn a scan.
- Honest refusal (work-order 1.5): no projection => insufficient_data,
grade null, "INSUFFICIENT DATA - no read" UI. The web gradeAdapter no
longer displays the line as the model projection (the audit's
model==line / +0% edge degenerate); the card renders absent states.
projectionFor is sport-aware (l5 -> l20 -> {stat}_per_90 -> xG).
- /ledger: MY READS | MODEL tabs; model header shows hit% + beat-close%
only at n>=20, else RECORD BUILDING + live pending count. ModelRecord
deferred-render strip on landing + player hero. CLV + outcome chips,
revised_from_grade strikethrough (Phase 2.5 ready).
- SYNC (Task 5): thresholds vs SNAPSHOT_EXPECTED_INTERVAL (normal <1.5x,
amber >=1.5x, STALE red >=3x) via /api/snapshot/summary.
- Phase 2.5 logged in specs/vyndr-roadmap.md (build after Phase 3).
- Data-semantics hardening: strict null-safe numeric parsing everywhere a
market value is handled (Number(null)===0 would have fabricated lines).
Backend 2309 -> 2327 tests (201 suites), web build exit 0.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
|
||
|
builtbykev
|
c8790fde55 |
Session 57: Phase 0 — Kill the Lies (2309 tests)
Work-order Phase 0 (Jul 10 live audit): every fabricated UI element deleted
or rewired to real data. Deletion sprint — no new product features.
0.1 Fake NBA game: root cause was scheduleService fetching the ESPN
scoreboard with no ?dates= param or date filter — off-season ESPN
returns the NEAREST slate (Jun 13 NYK@SA Finals rendered as tonight).
Now pinned to the requested ET date + defensive filter; undated events
dropped. Honest month-aware per-sport empty states (lib/emptyState.js).
0.2 Fake header counters: liveTick stripped to a bare 1s pulse (the
auto-incrementing "247 graded", sin-driven brain-%, aPlus/cascades are
dead). New GET /api/snapshot/summary (cache-only, before /:sport) +
Next proxy; HeartbeatBar shows the real graded count and SYNC =
elapsed since the last pipeline run (amber past 5 min).
0.3 Ticker: hardcoded fallback items deleted (real snapshot exhaust only);
MOVE kept — computeLineDeltas is real movement. <4 real items → no
ticker; bar publishes --ticker-h so the fixed header collapses cleanly.
0.4 /terminal retired: route redirects to /dashboard; VVI/injury-wire/
leaders layouts preserved unrouted as §12 content-engine templates.
Nav PRIMARY = Slate/Scan/Ledger; BottomTabBar Terminal→Explore; PWA
shortcut Terminal→Ledger; #terminal alias → /dashboard.
0.5 ›Query nav pill deleted (duplicate /scan link).
Backend 2289 → 2309 tests (199 suites), web build exit 0.
Spec: specs/phase-0-kill-the-lies.md. Next: work-order Phase 1 (ledger
persistence + settlement).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
|
||
|
builtbykev
|
d09a06c054 |
Session 55: Self-learning loop + real-time layer (2274 tests)
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> |
||
|
builtbykev
|
f8b120c0aa |
Session 45: Snapshot pipeline + GameCard swap + live ticker (2100 tests)
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>
|