MCA underwriting software

Turn merchant bank statements into a complete underwriting picture

MetrikData reads a merchant’s bank-statement PDFs and rebuilds the numbers that drive a merchant cash advance decision — deposit volume, true external revenue, negative-balance days, NSF activity, and existing MCA positions. Every figure links back to the transactions behind it, so you underwrite from evidence instead of a hand-keyed spreadsheet. The decision stays yours.

  • Reads text-based and scanned PDF statements
  • True external revenue, not just gross deposits
  • Existing MCA positions and estimated debt service
  • Every number clicks into its source transactions
The problem

Why MCA underwriting eats your day

Most MCA underwriting still starts the same way: a stack of bank statements, a blank spreadsheet, and an hour of typing. You tally deposits, eyeball the daily balances for trouble, scan hundreds of debits for funder withdrawals, and try to separate real revenue from transfers the merchant moved between their own accounts. By the time the numbers are in, the easy part — the actual decision — is all that’s left.

The manual process isn’t just slow, it’s easy to get wrong. Gross deposits flatter a merchant who’s shuffling money or living on advance fundings. A single missed NSF run or an unnoticed stacked position can turn a clean-looking file into a default. MetrikData does the extraction and the math for you, and shows the evidence behind every figure — so the time you spend goes into judgment, not data entry.

What you get

A full underwriting picture from one upload

MetrikData reconstructs every transaction and daily balance, then surfaces the metrics that actually drive an MCA decision — each one tied back to the source so you can verify it yourself.

Every transaction and daily balance

Upload the statement PDFs and MetrikData extracts every line item and the running daily balance — text-based or scanned. No retyping, no missed pages, no spreadsheet to maintain.

True external revenue

Real money in from customers, not a gross-deposit total. MetrikData strips out transfers between the merchant’s own accounts, returned items, loan and advance fundings, and other non-revenue credits.

Existing MCA positions

Recurring funder withdrawals are grouped into positions with an estimate of the merchant’s existing daily and weekly debt service — so stacking burden is visible before you fund.

NSF activity and negative days

Returned-item and insufficient-funds events are counted, and every day the account ran negative is flagged — the cash-flow stress signals that gross deposits hide.

Reports and raw data to export

Share a clean PDF report for your file, or export the raw and tagged transactions as CSV to feed your own model. The full picture travels with the deal.

Private, per-workspace storage

Statements live in isolated per-workspace storage, encrypted in transit and at rest, and are never used to train models. Only your team sees your merchants’ data.

How it works

From statements to a decision-ready file in minutes

  1. Upload the statements

    Drop in the merchant’s bank-statement PDFs from any major US bank — Chase, Bank of America, Wells Fargo, and regional and community banks alike. Scanned statements are read too.

  2. Review the underwriting picture

    See deposit volume, true external revenue, NSF activity, negative-balance days, and existing MCA positions on one screen — with the transactions behind each metric a click away.

  3. Verify, adjust, and decide

    Correct anything the merchant’s statement formatted oddly, then re-run to recompute every metric. Underwrite with a clear, evidence-backed view. MetrikData never approves, declines, or sizes the advance — the call is yours.

FAQ

Common questions

Does MetrikData replace my underwriter?

No. MetrikData replaces the manual data entry, not the underwriter. It extracts every transaction, rebuilds the daily balances, and surfaces the metrics that drive an MCA decision — but it never approves, declines, or sizes an advance. The judgment stays with your team, now backed by evidence instead of a hand-keyed spreadsheet.

Which banks are supported?

MetrikData reads PDF bank statements from every major US bank — including Chase, Bank of America, Wells Fargo, TD Bank, Citibank, US Bank, Capital One, PNC, and Truist — plus regional and community banks. Text-based statements parse most accurately, and scanned statements are supported too.

How is my data secured?

Statements live in isolated per-workspace storage, encrypted in transit and at rest, and are never used to train AI models. Only your team sees your merchants' data. Retention and access details are described in the MetrikData privacy policy.

Is there a free trial?

Yes. Your first four statement analyses are free with no credit card required, so you can run a full merchant before choosing a plan. See the pricing page for monthly statement volumes, add-on packs, and team seats in USD.

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Underwrite from evidence, not data entry

Start free — 4 statement analyses, no credit card required.