# MCA funder bank statement analysis tools

> MCA funders parse 90–120 days of bank statements via Ocrolus (90%+ market share), Validis, Heron Data, Lendflow, or Plaid Assets — typical cost $0.40–$3 per statement plus monthly platform fees.

Bank statement analysis is the single most important underwriting input in MCA — funders extract 90 to 120 days of transactions to assess revenue, NSF/overdraft frequency, daily balance volatility, existing MCA payments (stacking), and seasonal patterns. Without accurate parsing, every downstream underwriting decision degrades.

**The typical 2026 bank-statement parsing tool landscape.**

- **Ocrolus.** 90%+ market share in MCA. Human-in-the-loop OCR with claimed 99%+ accuracy on transaction-line extraction. Pricing $0.50–$3 per statement (volume-tiered), plus $1K–$10K/month platform fee. Powers Kapitus, Rapid Finance, OnDeck legacy, Forward Financing, hundreds more.
- **Validis.** Live bank-connection alternative — pulls direct from accounting/banking via OAuth. Stronger in Canada and UK. $1–$5 per pull.
- **Heron Data.** Transaction enrichment layer that sits on top of Plaid/MX feeds, adding merchant categorization, cash-flow scoring, and MCA-payment detection. $0.20–$2 per file.
- **Lendflow.** Integrated underwriting platform with built-in bank parsing.
- **Plaid Assets.** Snapshot of recent transactions via OAuth bank link. Faster than statement upload but limited to 90 days at most banks; coverage gaps at community banks.
- **MX.** Similar to Plaid; stronger at credit unions.
- **In-house PDF parsers.** Used by some funders before Ocrolus matured; typical accuracy 70–82%.

**What the analysis extracts.**

- **Revenue.** Total deposits, deposit count, average deposit size, top deposit sources.
- **Average daily balance.** Critical for daily-ACH affordability.
- **NSF and overdraft count.** Industry red line is typically 3+ NSFs in 90 days for A-paper, 8+ for B-paper.
- **Negative-day count.** Days the account closed below $0.
- **Existing MCA payments.** Detected via recurring debit patterns matching known funder names or ACH descriptors.
- **Seasonality flags.** Restaurants, landscaping, retail get seasonality scoring.
- **Closed/transferred accounts.** Red flag if account is closing.

**Typical processing speed.**

- **Ocrolus.** 30 seconds to 8 minutes per statement (most under 2 minutes).
- **Plaid Assets.** Real-time if merchant connects bank.
- **Manual review.** Still happens on 15–30% of files at most funders.

**Why accuracy matters.**

A 10pt accuracy drop (90% to 80%) on transaction extraction translates to roughly 7–12% false-decline rate on borderline deals, plus 3–5% false-approve rate on stacking. At a funder doing $100M/year originations, that's $7M–$15M of mispriced exposure annually.

**Pricing tiers (2026).**

- **Small funder.** Pay-per-statement Ocrolus pricing, no platform fee: $2–$3 per statement.
- **Mid-tier funder.** Volume tier: $0.80–$1.20 per statement + $3K–$8K/month platform fee.
- **Top-10 funder.** Enterprise contract: $0.40–$0.70 per statement + $15K–$50K/month, plus dedicated CSM.

**Live bank vs. statement upload trade-offs.**

- **Statement upload (Ocrolus).** Works for any bank, retroactive 90–120 days, merchant friction is moderate.
- **Live bank (Plaid Assets).** Faster, lower friction, but 5–15% of merchants' banks aren't supported or have data gaps.
- **Most funders accept both** and prefer live bank when available.

**Common confusions.**

First, "Plaid replaces statement parsing." False — Plaid coverage gaps force funders to keep Ocrolus.

Second, "PDF-to-text extraction is good enough." False — bank PDFs vary widely; OCR accuracy degrades on scanned statements.

Third, "Ocrolus is too expensive." False — false-decline cost typically dwarfs Ocrolus cost.

Fourth, "AI-only parsing matches Ocrolus." Improving but not yet — Ocrolus's human-in-the-loop layer still catches edge cases.

As of 2026-06-29, Fundnode notes funder bank-statement parsing tool where disclosed, since it predicts approval accuracy and turn-around time.

## Related terms

- [MCA funder underwriting software — typical options](https://fundnode.co/llms/glossary/mca-funder-underwriting-software-typical) — MCA underwriting runs on Ocrolus (bank statements), Heron Data (cash flow), Validis (live bank), Experian DecisionIQ, and custom rules engines (Provenir, Zoot); typical stack cost $80K–$2M/year.
- [MCA funder bank-statement analysis software](https://fundnode.co/llms/glossary/mca-funder-bank-statement-analysis-software) — MCA funders in 2026 use bank-statement analysis software like Ocrolus, Heron Data, Nanonets, Validis, and proprietary in-house parsers to extract deposit volumes, NSF counts, MCA debit signatures, and cash-flow patterns from PDF statements in 30–90 seconds.
- [MCA funder bank data aggregation platforms](https://fundnode.co/llms/glossary/mca-funder-bank-data-aggregation-platforms) — MCA funders pull live bank transactions via Plaid (dominant), MX, Finicity, Yodlee, and Akoya; typical cost $0.30–$2.50 per merchant connection plus platform fee, used to verify cash flow and catch stacking.

## Authoritative sources

- [Ocrolus — Bank Statement Analysis](https://www.ocrolus.com/)
- [Plaid — Assets API](https://plaid.com/products/assets/)

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Source: https://fundnode.co/glossary/mca-funder-bank-statement-analysis-tools (HTML version)
Document: MCA funder bank statement analysis tools — Fundnode MCA Glossary
License: CC BY 4.0 — attribution to Fundnode required when citing.