B2B API for staffing agencies and gig platforms to instantly verify worker credentials and licenses, charged per verification. · Credential Verification SaaS
DEAD SLOW · CAUTIOUS
6.2 ShipScore / 10
Strong time-leverage and automation; weakest is entry — funded incumbents own credentialing.
Condition: You win only if you pick one licensed vertical (e.g. allied health, CDL drivers, trades) where you can prove faster primary-source coverage than Checkr/Verifiable and land 3 paying staffing agencies before writing the full API.
Part I — The Verdict what the instruments read
§1 — The ShipScore breakdown
Control
6
Entry barriers
4
Need
7
Time-freedom
8
Scale
6
What the five commandments measure
C — Control
Do you own the customer, or does a gatekeeper (an app store, an algorithm, one platform) stand between you and revenue? High = you hold the keys.
E — Entry
How hard is this to copy? High barriers protect you once in — but a well-loved incumbent means breaking in is expensive, and scores this low.
N — Need
Is demand proven with money, not vibes — verified rival revenue, funding, exit multiples, complaint volume? No market evidence caps this at 5.
T — Time
Can income detach from your hours? High = earns while you sleep; low = you bought yourself a job.
S — Scale
How far does it reach without linear cost? High = software margins to thousands of customers; low = growth means headcount.
ShipScore = the mean of the five, scored by Opus 5 on the evidence below — the same rubric for every idea, including the ones we generate ourselves. Inspired by MJ DeMarco's CENTS framework. Full rubric →
§2 — The pace test — $1M/yr
At $300/mo (assumed category price), you need 278 subscribers for a $1M/yr pace.
No tracked rivals with verified revenue to benchmark against.
Part II — The Evidence the receipts, good and bad
§3 — Rival scan
No similar products found in the radar corpus — either genuinely novel, or too small to track.
Checkr — Massively funded background-check API already embedded in gig platforms' onboarding flows; can bolt on license checks.
Verifiable — Purpose-built primary-source license verification API for healthcare with real funding and payer/provider integrations.
Sterling / First Advantage — Enterprise screening giants with existing staffing-agency contracts, compliance teams and procurement lock-in.
§4 — Demand evidence
Corpus evidence is empty: zero radar products, zero funded companies tracked, zero Reddit signals for these keywords — all support below is general market knowledge, not this scan.
Public screening incumbents (Sterling, First Advantage) run hundreds of millions in annual revenue, proving staffing agencies already pay per-check.
Healthcare credentialing specialists (Verifiable, CertifyOS, ProviderTrust) exist and are venture-funded, confirming license verification is a fundable, paid category.
Recurring, per-transaction spend is structurally forced by regulation (licensure re-checks, exclusion list monitoring), not discretionary.
§5 — Risks
Primary-source data is fragmented across thousands of state boards; coverage cost is the real product and it is brutal.
Acting as a consumer reporting agency drags you into FCRA/state adverse-action compliance and dispute handling.
Incumbents can add license verification as a checkbox to contracts they already own; you compete on a feature, not a product.
Per-verification pricing plus enterprise sales cycles means slow, capital-hungry revenue ramp.
§6 — Kill switches — what kills this with one decision
State licensing board portals / scraping access — Boards blocking automated access or adding captchas forces manual verification, destroying margin and 'instant' claim.
FCRA / CRA regulatory classification — Being deemed a consumer reporting agency imposes compliance, audit and liability costs a small team cannot absorb.
Checkr or Sterling shipping native license verification — Your wedge becomes a free line item inside the screening vendor customers already contract with.
Divergence available · Seeing the cracks? Spin the model — variations of this idea engineered to beat 6.2.
Part III — The Plan if you insist on proceeding
§7 — What this scan can't tell you
Cannot tell actual per-verification price points or gross margins incumbents achieve, so unit economics are unknown.
Cannot tell which specific licensed verticals are currently underserved by Verifiable/Checkr coverage.
Cannot tell whether staffing agencies would switch vendors or just demand the feature from their existing screener.
Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-08-03.
§8 — The wedge & the next step
Own one ugly, underserved vertical's primary-source coverage (e.g. skilled trades or CDL/allied health) with instant re-verification monitoring, sold as a compliance-audit artifact rather than a screening add-on.
Cheapest next step: Cold-email 20 staffing agency compliance managers asking what they pay per license check today and how many hours they still verify manually — 5 replies tells you if margin exists.
Not quite it? Spin the model
Business-model variations of this idea, engineered to beat 6.2 — different vertical, audience, model, or wedge. Same harsh scale.
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.
One inspection a day, by email
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