Five vectors to score every vendor on before you sign a contract.
Latency
Sub-second decisions or the lead cools before routing.
Data depth
Real bureau data beats modeled scores every time.
Intake surface
Name, phone, email — no SSN in the form.
CRM fit
Native or webhook write-back to your existing stack.
| Vector | What good looks like | Red flag |
|---|---|---|
| Latency | Under 1 second p95 | Batch jobs or 3s+ responses |
| Data depth | Tri-bureau soft pull + tradelines | Modeled scores only |
| Intake surface | Name + contact triggers a decision | SSN required at intake |
| CRM fit | Native connector or clean webhook | CSV export only |
| Price | Per screened lead, no minimums | Annual seat licenses |
Pick one source
Split control vs treated
Measure the right KPI
Decide by day 30
Pay-as-you-go per screened lead is the cleanest model — costs scale with your funnel and you're never paying for unused capacity. Seat licenses and annual minimums transfer risk to you. Ask every vendor: "What do I pay if I run zero leads next month?" The answer tells you who's aligned with your outcomes.
30 days on one traffic source is enough to see fund-rate and cost-per-funded-loan movement, provided you have at least 500 leads in the window.
No. Any modern vendor supports webhook write-back or has native connectors for Salesforce, HubSpot, Encompass, and the top MCA CRMs.
Wholesale pricing for a soft-pull-based pre-qualification runs $0.50–$3 per screened lead depending on data depth. Anything above $5 needs to be justified by bundled routing or program-match logic.
No. Modern pre-qualification vendors establish permissible purpose with name, phone, and email alone. Requiring SSN at intake collapses form conversion by 40–60%.
Schedule a 30-minute demo and we'll map the pre-qualification layer to your current stack.