True MCA burden
MetrikData excludes financing inflows, transfers, and refunds from the revenue base, so burden reflects what the business actually earns — not gross deposits inflated by advances.
Ocrolus is a broad document-AI platform used across mortgage, auto, and consumer lending. MetrikData is built for one job: reading a merchant’s bank statement for MCA underwriting. Here’s how they line up.
Yes / Partial / — reflect fit for the MCA bank-statement use case specifically, not overall product breadth.
MetrikData excludes financing inflows, transfers, and refunds from the revenue base, so burden reflects what the business actually earns — not gross deposits inflated by advances.
Daily/weekly debits are typed as MCA positions; monthly and ~15-day debits as term loans. Broad transaction flags don’t separate a stacking position from ordinary debt service.
Upload one PDF, get an underwriting read. No API build, no LOS integration, no enterprise contract to start.
MetrikData presents positions, burden, and risk signals for the underwriter to judge — it doesn’t auto-approve or score a decision.
If you underwrite across several document types — pay stubs, tax forms, W-2s — and need regulatory-grade extraction wired into a loan-origination system at high volume, Ocrolus is a mature, well-integrated choice with deep fraud tooling. MetrikData deliberately does one thing: it reads the bank statement for MCA-specific signals. If your workflow is broader than that, Ocrolus covers ground MetrikData doesn’t try to.
For the MetrikData side of that trade-off, see the MCA underwriting software overview — or brush up on the terminology in the MCA glossary.
For MCA bank-statement underwriting, yes. MetrikData focuses specifically on detecting stacking positions and calculating MCA burden from a merchant’s statement, where Ocrolus is a broader document-AI platform spanning many lending verticals.
Ocrolus categorizes transactions and flags cash-advance activity, but MCA burden as a share of true revenue — with financing inflows excluded from the denominator — is the specific metric MetrikData is built to produce.
Yes. MetrikData is self-serve: upload a PDF statement in the web app and get a full read. No LOS integration is required to start.
Start free — run a real merchant statement and compare the output yourself.