See existing positions and debt service
Recurring funder withdrawals are grouped into positions with an estimate of the merchant’s existing daily and weekly repayment load, so your team can read true leverage before committing capital.
Defaults rarely come from deals that looked risky — they come from deals that looked clean. MetrikData reads each merchant’s bank statements and shows their existing positions, true external revenue, and cash-flow stress in one reviewable picture, so your underwriters weigh real leverage instead of gross deposits. The decision stays with your team; the evidence is right there to back it.
Two risks slip past even careful underwriting at volume. The first is hidden leverage: a merchant carrying three active advances can still post strong gross deposits, because the danger lives in the debits — fixed daily and weekly repayments that quietly consume a slice of every day’s cash flow. The second is overstated revenue: transfers between accounts, loan proceeds, and other non-revenue credits inflate the top line and make a thin operation look fundable.
On top of that, manual statement review drifts. Two analysts reading the same 300-line statement reach different conclusions, the bar moves as the queue grows, and an occasional fabricated statement gets the benefit of the doubt. MetrikData puts every file through the same calculations, separates true external revenue from inflated deposits, surfaces existing positions and their debt service, and flags statements that may have been altered for a human to review — so your team sees real leverage the same way, every time.
MetrikData turns each statement into the signals your underwriters actually weigh — and ties every one of them back to the transactions behind it, so nothing is a black box.
Recurring funder withdrawals are grouped into positions with an estimate of the merchant’s existing daily and weekly repayment load, so your team can read true leverage before committing capital.
Transfers, loan proceeds, and other non-revenue credits are separated from real revenue, so deposit volume can’t mask a thin operation or inflate the amount that looks supportable.
Negative-balance days and NSF activity are pulled out of the daily balance history and shown up front — the stress signals that often precede a default, no scrolling required.
When a statement shows signs it may have been altered, MetrikData raises it for human review. It’s a prompt for a second look, never a verdict on the merchant.
Every analyst works from the same reviewable calculations, so a deal is read the same way whoever opens it — and your underwriting bar holds steady as volume climbs.
Each metric links to the exact transactions that produced it. Underwriters can verify a position or a revenue figure in seconds, and decisions carry the evidence that backed them.
Drop in the merchant’s bank-statement PDFs — text-based or scanned, from any major US bank. MetrikData reads every transaction and daily balance.
See existing positions and debt service, true external revenue, negative-balance days, and NSF activity in one place. Correct any parsed figure that looks off and the analysis recomputes.
Click any number to confirm the transactions behind it, then underwrite with leverage and revenue laid bare. The funding decision stays with your underwriters.
No. MetrikData assembles the underwriting picture — existing positions, true external revenue, cash-flow stress, and the evidence behind each figure. It never approves, declines, or recommends an advance amount. Every funding decision stays with your underwriters.
It scans the debit stream for recurring funder withdrawals, groups them into existing positions, and estimates the daily and weekly debt service already weighing on the merchant. Your team weighs that real leverage against true external revenue instead of gross deposits, with the source transactions one click away.
Yes. Paid plans support multiple team members with roles — owner, admin, analyst, and viewer — and higher tiers add more seats for a larger underwriting team. Everyone works from the same reviewable formulas, so deals are read consistently across the team.
Each workspace gets private storage with row-level security, and data is encrypted in transit and at rest. It is never used to train models and is retained for up to about three years. Every metric links back to the underlying transactions, so any number can be verified after the fact.
Start free — your first 4 statement analyses are on us. No credit card required.