PickFeed API

White-label AI player-props analysis API for sports media sites and fantasy platforms, billed per feed instead of per bettor. · Sports Content Syndication

DEAD SLOW · CAUTIOUS

6.0 ShipScore / 10

Strongest: productized recurring API. Weakest: unproven B2B buyer demand, thin moat.

Condition: Two paying sports-media or fantasy platforms sign per-feed contracts above $1k/mo before heavy data-licensing spend.

Part I — The Verdict what the instruments read

01 — The ShipScore breakdown

Control

C6 — owns API, but leans on licensed odds/stats vendors, swappable

Entry barriers

E5 — PropGPT narrowing -10%/mo, lane open; integration lock-in only moat

Need

N6 — PropGPT's $79k proves consumer props spend, not media-site budgets

Time-freedom

T7 — per-feed API is passive once live; B2B sales stays manual

Scale

S6 — global digital but capped to legal-betting media and fantasy operators

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

$79k 94%

↓ moat narrowing · -10%/moX · quiet

Calendesk

$22k 26%

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 2 similar

PropGPT: AI Props Analysis	verified MRR $79k · revenue trend: narrowing (-10%/mo) · X-chatter: low (trustmrr)	↓ moat narrowing · -10%/mo X · quiet
Calendesk	verified MRR $22k (trustmrr)

PropGPT: AI Props Analysis — $79k verified MRR proves props analysis works; could add a B2B feed tier overnight.
OpticOdds (X chatter) — Already sells real-time betting and fantasy data APIs to the exact buyer you target.
Vinfotech / Bookiesoft white-label platforms — Bundle props into full white-label stacks, making a standalone feed a line item they can build.

04 — Demand evidence

PropGPT verified at $79k MRR — real money flows to AI props analysis.
But PropGPT's trend is narrowing -10%/mo; consumer props appetite may be cooling.
Zero Reddit signals and essentially no X complaints about white-label props APIs — buyer pain unproven.
Calendesk ($22k MRR) is booking software, irrelevant as a demand proxy here.

05 — Risks

Sports data licensing costs (odds/stats rights) can eat per-feed margins before scale.
B2B media buyers have long procurement cycles and small content budgets.
Incumbent data APIs like OpticOdds can bolt on AI analysis as a free feature.
Regulatory exposure — gambling content rules vary by state and country.

06 — Kill switches — what kills this with one decision

Upstream odds/stats data licensor — Price hike or redistribution ban on derived props content kills the feed.
State/national gambling regulators — Restrictions on syndicated betting picks bar media partners from embedding you.
A single anchor client — Per-feed billing means one large partner churning removes most revenue.

Part III — The Plan if you insist on proceeding

07 — What this scan can't tell you

Cannot tell what sports media sites actually budget for syndicated props content.
No data on PropGPT's cost base or whether its narrowing is seasonal.
Unknown whether existing data APIs already resell AI props commentary quietly.

Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-08-13.

08 — The wedge & the next step

Sell the boring part: a drop-in, compliance-safe props widget priced per feed so mid-tier fantasy and media sites get AI picks without per-bettor economics.

Cheapest next step: Cold-email 20 mid-tier fantasy/sports-media product leads offering a free two-week feed pilot; count replies.

Not quite it? Spin the model

Business-model variations of this idea, engineered to beat 6.0 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.

One evidence-backed gap a day, free

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.