# MCA funder stacking detection systems

> MCA funders detect stacking via FundKite consortium queries, LexisNexis MCA Index, daily Plaid bank-feed analysis (cross-funder deposits), UCC monitoring, and merchant-level stacking-pattern ML models.

Stacking — a merchant taking multiple concurrent MCAs — is the single largest default driver in MCA. Detection systems have evolved from manual checks to real-time ML.

**The stacking-detection stack (2026).**

- **Consortium queries.** FundKite, LexisNexis MCA Index, internal lender consortia.
- **Bank-data analysis.** Plaid feeds analyzed daily for cross-funder deposit patterns.
- **UCC monitoring.** Daily UCC filings monitored for new MCA UCCs.
- **Plaid Liabilities API.** Direct visibility into liability stack where supported.
- **ML pattern detection.** Models trained on stacking signatures.
- **Manual review queue.** Flagged deals reviewed by analyst.

**FundKite consortium mechanics.**

- Member funders submit recent fundings to shared database.
- Other funders query during underwriting for stacking check.
- Pay-to-play; non-members can't query.
- ~60–70% of US MCA volume covered (2026).
- $1.50–$4.50 per query.

**LexisNexis MCA Index.**

- Aggregates UCC filings, public records, and contributor data.
- Subscription model ($2K–$8K/month).
- Better legacy/post-funding visibility; weaker real-time signal.

**Bank-feed analysis.**

- Cross-funder deposit detection: identify ACH deposits matching MCA funder ACH IDs.
- Threshold alerts when new MCA deposit >$15K hits merchant account.
- Daily ACH withdrawal pattern analysis: multiple daily MCA payments suggest stacking.
- 70–85% of stacked deals detectable via bank-feed pattern analysis within 7 days.

**UCC monitoring.**

- Daily UCC filings scraped from state SOS websites.
- MCA-style language flagged ("all assets," "future receivables").
- Filing date correlated to merchant ID.
- Latency: 1–14 days from filing to detection.

**Plaid Liabilities API.**

- Direct visibility into merchant debt obligations.
- Coverage gap: not all banks support Liabilities endpoint.
- Best detection for term loans, weaker for MCA receivables purchases.

**ML pattern detection examples.**

- **Bank-balance fluctuation.** Stacked merchants show distinct withdrawal pattern.
- **Multi-daily ACH count.** 3+ unique ACH originators in 1 day = stacking signal.
- **Bank-account churn.** New bank account opening shortly after MCA funding.
- **Revenue masking.** Inbound deposits suddenly increase to mask stacking.

**Pre-funding stacking check workflow.**

- FundKite query at application.
- LexisNexis UCC pull.
- Plaid bank-data scan for last-30-day MCA deposit patterns.
- ML score on stacking probability.
- Manual review if score >threshold.

**Post-funding stacking monitoring.**

- Daily Plaid feed analysis.
- Weekly UCC filing scan.
- Weekly FundKite re-query.
- Trigger alert on new stacking signal.
- Default-eligible if confirmed stacking within 30 days of funding.

**Stacking-trigger consequences.**

- **First-payment default clause** often invoked.
- **Demand for full payoff.**
- **UCC enforcement** including lockbox redirects.
- **COJ entry** where available.
- **ISO clawback** for stacking that should have been detected pre-funding.

**Industry-wide stacking rates.**

- **2024.** ~22% of MCA originations involved subsequent stacking within 90 days.
- **2025.** ~18% (down with better detection).
- **2026 YTD.** ~14% (continued tightening).
- **A-paper merchants.** ~6–9% stacking rate.
- **C/D-paper merchants.** ~30–45% stacking rate.

**Cross-funder consortium dynamics.**

- **FundKite** dominant consortium.
- **Top-30 funders** mostly members.
- **Holdouts** typically smaller funders or those originating heavily on B/C paper.
- **Reciprocity required** — must contribute to query.

**Common detection gaps.**

- **Non-member funders.** Stacking from non-FundKite funders invisible.
- **Cash-funded deals.** Some funders disburse via cash equivalents (cashier's check).
- **Multi-entity merchants.** Stacking via related LLCs not detected by entity match.
- **International funders.** Cross-border stacking invisible.
- **DTC originations.** Funder direct deals not always reported to consortium.

**Common confusions.**

First, "all stacking is detected." False — 15–30% of stacked deals go undetected at funding.

Second, "FundKite is industry-wide." False — coverage ~60–70%.

Third, "UCC always shows stacking." False — many MCA contracts no longer require UCC filing.

Fourth, "ISO is liable for all stacking." Partially — depends on ISO agreement language.

Fifth, "stacking is illegal." False — stacking violates MCA contract clauses but is not criminal.

**Recent trends (2024–2026).**

- **Plaid Liabilities** improving real-time stacking visibility.
- **GenAI bank-feed analysis** improving pattern detection.
- **Cross-consortium federation** experiments at top-10 funders.
- **Tighter ISO clawback enforcement** post-2024 stacking spike.
- **Federal MCA registry proposals** at CFPB and state regulators.

**ML model performance benchmarks.**

- **Best-in-class precision.** 78% (78% of flagged deals confirmed stacking).
- **Best-in-class recall.** 64% (64% of true stacking caught at funding).
- **Median funder precision.** 55%.
- **Median funder recall.** 40%.

## Related terms

- [MCA funder fraud detection systems](https://fundnode.co/llms/glossary/mca-funder-fraud-detection-systems) — MCA funders detect fraud via document-tamper detection (Ocrolus, Inscribe), identity verification (Persona, Alloy), device fingerprinting, ML scoring of submission patterns, ISO scorecards, and bank-statement OCR cross-checks.
- [MCA funder portfolio monitoring systems](https://fundnode.co/llms/glossary/mca-funder-portfolio-monitoring-systems) — MCA funders monitor portfolios via loan-management systems (LMS), real-time bank-data feeds (Plaid/MX), payment-processor webhooks, and BI dashboards that surface daily aging, NSF spikes, and reconciliation requests.
- [MCA funder data vendor relationships](https://fundnode.co/llms/glossary/mca-funder-data-vendor-relationships) — MCA funders typically integrate 6–12 data vendors: Plaid/MX (bank), Ocrolus (statements), LexisNexis (identity/UCC), Experian/Equifax/Dun & Bradstreet (credit), FundKite (stacking), and Persona/Alloy (KYC).

## Authoritative sources

- [FundKite — MCA Consortium Overview](https://www.fundkite.com/)
- [LexisNexis — MCA Index Documentation](https://risk.lexisnexis.com/)

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