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.