PropWire Engine

White-label player-prop analytics API that sports media outlets and betting-content affiliates embed to power branded picks and newsletters, priced per publisher. · Sports Betting Analytics

DEAD SLOW · CAUTIOUS

6.4 ShipScore / 10

Strong productized economics; weakest is unproven publisher-side B2B willingness-to-pay.

Condition: Three paying media/affiliate publishers sign at $1k+/mo with contractual data rights cleared before building the full pipeline.

Part I — The Verdict what the instruments read

01 — The ShipScore breakdown

Control

Odds/stats feeds swappable (OpticOdds, others) but league data mandates loom

Entry barriers

No tracked B2B white-label leader; PropGPT narrowing -10%/mo leaves lane open

Need

$76k PropGPT proves consumer prop spend; zero publisher-contract evidence shown

Time-freedom

API + embeddable widgets; onboarding support is the only manual drag

Scale

Global tech, but buyer pool is a few hundred regulated-market publishers

What the five commandments measure

C — Control	Do you own the customer, or does a gatekeeper stand between you and revenue?
E — Entry	How hard is this to copy once it works? A rival's existence isn't the question — the durability of their advantage is.
N — Need	Is demand proven with money rather than vibes?
T — Time	Can income detach from your hours, or did you buy yourself a job?
S — Scale	How far does it reach without linear cost?

Scored on the evidence below, against CENTS as we've adapted it plus a Buffett-style moat reading of every rival — the same referee for every idea, including the ones we generate ourselves. The verdict follows the arithmetic: we never relabel a score to make it read better, and the weakest commandment is always named. The exact rubric stays in-house so the scale can't be written for.

02 — The pace test — $1M/yr

At $1500/mo (assumed category price), you need 56 subscribers for a $1M/yr pace.

Nearest tracked rivals on that curve:

PropGPT: AI Props Analysis

$76k 92%

↓ moat narrowing · -10%/moX · quiet

Zernio

$167k 100%

X · active

Peekaboo

$55k 66%

→ moat stableX · quiet

SEO STACK

$25k 30%

A rival's moat trend is its verified-revenue trajectory, not its rating — a 4.9★ incumbent with eroding revenue is a different opponent than a widening one. How it's computed →

Part II — The Evidence the receipts, good and bad

03 — Rival scan — corpus tracks 6 similar

PropGPT: AI Props Analysis	verified MRR $76k · revenue trend: narrowing (-10%/mo) · X-chatter: low (trustmrr)	↓ moat narrowing · -10%/mo X · quiet
Zernio	verified MRR $167k · CENTS 7.0 · X-chatter: some (x)	X · active
Peekaboo	verified MRR $55k · CENTS 6.8 · revenue trend: stable · X-chatter: low (x)	→ moat stable X · quiet
SEO STACK	verified MRR $25k (trustmrr)
Calendesk	verified MRR $21k (trustmrr)
TradingBox Pro	verified MRR $15k (trustmrr)

PropGPT: AI Props Analysis — $76k MRR proves prop analytics demand, could pivot to white-label licensing overnight
Zernio — $167k MRR and CENTS 7.0 — strongest tracked operator in the adjacent lane
OpticOdds (X chatter) — Already trusted by sharps/traders as the data API layer publishers would default to

04 — Demand evidence

PropGPT verified $76k MRR shows real money in player-prop analytics, though trend narrowing -10%/mo
Zernio $167k and Peekaboo $55k (stable) confirm paid appetite in the tracked neighborhood
X shows live launches (Proppr.io, Compounding Edges NFL DFS API, Statyx, 1mg.live white-label) — supply forming, buyers unverified
Zero Reddit signals and no complaint threads: publisher-side pain is undocumented in this scan

05 — Risks

B2B buyer pool is small; losing two publishers can halve revenue
Official league data mandates in some US states could force expensive licensing
Publishers may build in-house or just resell a cheaper raw odds API
PropGPT's -10%/mo decline hints consumer prop interest may be cooling, shrinking affiliate budgets

06 — Kill switches — what kills this with one decision

Underlying odds/stats feed provider — Price hike or redistribution ban on derived data breaks every embedded publisher
State regulators / league official-data rules — Mandated licensed data makes unlicensed prop projections non-distributable to regulated affiliates
Affiliate-channel economics at sportsbooks — Cut CPA/revshare and your publishers lose the budget that pays you

Part III — The Plan if you insist on proceeding

07 — What this scan can't tell you

Cannot tell whether any of the tracked rivals actually sell B2B/white-label versus consumer apps
No data on publisher ACV, sales cycle length, or churn in this niche
Unknown whether data redistribution rights for derived props are obtainable at your price point

Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-09-17.

08 — The wedge & the next step

Sell the boring part publishers hate: turnkey branded picks widget plus auto-generated newsletter copy, compliance-safe and revenue-share optional.

Cheapest next step: Cold-email 25 mid-size betting affiliate/media sites offering a free two-week branded prop widget pilot; count reply and pilot-signature rates.

Not quite it? Spin the model

Business-model variations of this idea, engineered to beat 6.4 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.

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Close — but conditional. Every morning the engine files one mined gap, scored on the same harsh scale as this one. Free at 7am AEST, unedited.

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Monitor this idea

Weekly re-scan against the live corpus. If the market moves this ShipScore by a point, or flips the verdict, you hear about it. Free while we're small.