# 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).

Data vendors are the underwriting bloodstream of the modern MCA funder — the difference between a 3-hour funding decision and a 3-day funding decision.

**The core data-vendor categories.**

- **Bank-data aggregators.** Plaid, MX, Finicit, Yodlee (legacy).
- **Document OCR / verification.** Ocrolus, Inscribe, Hyperscience.
- **Identity verification.** Persona, Alloy, Trulioo, Veriff.
- **Business verification.** Middesk, Baselayer, Cobalt Intelligence.
- **Credit bureaus.** Experian Business, Equifax Commercial, Dun & Bradstreet.
- **UCC / litigation.** LexisNexis CourtLink, BizApedia, OpenCorporates.
- **MCA stacking databases.** FundKite, LexisNexis MCA Index, internal consortia.
- **OFAC/PEP/sanctions.** ComplyAdvantage, LexisNexis WorldCompliance.
- **Bankruptcy data.** PACER, LexisNexis Bankruptcy Index.
- **Adverse media.** Refinitiv World-Check, ComplyAdvantage.

**Bank-data aggregator pricing (2026).**

- **Plaid.** ~$1.20–$2.50 per connection, plus per-transaction fees.
- **MX.** Similar to Plaid; better regional bank coverage.
- **Ocrolus (bank statement OCR).** $4–$9 per statement.

**Identity verification pricing.**

- **Persona.** $0.85–$2.50 per verification (KYC) + $0.25–$0.85 per document.
- **Alloy.** $1.50–$4.00 bundle including KYC + credit pull.

**Credit bureau pricing.**

- **Experian Intelliscore Plus.** $4–$12 per pull.
- **D&B PAYDEX.** $9–$25 per pull.
- **Equifax Small Business Risk Score.** $5–$15 per pull.

**Stacking database pricing.**

- **FundKite.** $1.50–$4.50 per inquiry depending on volume tier.
- **LexisNexis MCA Index.** Subscription-based ~$2K–$8K/month.
- **Internal consortium.** Pay-to-play data contribution required.

**Data-vendor selection criteria.**

- **Coverage.** % of US merchants, % of US banks, % of US business registries.
- **Latency.** Time-to-result.
- **Accuracy.** Verified through internal sampling.
- **API stability.** Uptime, error rates.
- **Compliance.** SOC 2, GLBA, GDPR if applicable.
- **Cost per pull.**

**Common integration patterns.**

- **Application time.** Plaid (bank link), Persona (ID verify), business verify.
- **Underwriting time.** OCR statements, credit pulls, UCC, stacking check.
- **Funding time.** OFAC re-screen, final stacking re-check.
- **Servicing time.** Continuous Plaid feed, periodic UCC monitoring.
- **Collections time.** Skip tracing, asset search.

**Common data-vendor failure modes.**

- **Bank-feed disconnects** mid-deal-term (35–55% disconnect within 6 months).
- **OCR errors** on tampered statements (key fraud vector).
- **Credit bureau lag** on small-business credit (often 60–90 days stale).
- **Stacking database incompleteness** (only ~40–60% of MCA originations reported).
- **OFAC false positives** common with common names.

**Vendor concentration risk.**

- **Plaid outage** in 2024 took down ~25% of MCA applications industry-wide for 4 hours.
- **Most funders run dual aggregation** (Plaid + MX) for redundancy.
- **OCR redundancy** less common; Ocrolus dominates the segment.

**Data privacy and consent.**

- Merchant consents during application (clickwrap).
- GLBA notices required for data sharing.
- Consortium participation requires data-sharing legal review.
- State privacy laws (CCPA, NY SHIELD) expanding scope.

**Recent trends (2024–2026).**

- **Plaid Liabilities** unlocking debt-stacking visibility.
- **Open banking proliferation** improving regional bank coverage.
- **GenAI document analysis** entering production at top-30 funders.
- **Real-time UCC feeds** improving stacking detection latency.
- **Bureau alternative scoring** (Petal, Esusu, etc.) entering MCA experimentation.

**Total data-vendor spend benchmarks.**

- **Small funder.** $80K–$220K/year.
- **Mid-tier funder.** $400K–$1.5M/year.
- **Top-10 funder.** $3M–$12M+/year.

**Common confusions.**

First, "data vendors replace underwriting." False — they accelerate it.

Second, "Plaid covers all banks." False — regional bank coverage gaps persist.

Third, "credit bureaus capture MCA." False — most MCAs not reported to bureaus.

Fourth, "stacking databases are comprehensive." False — only partial industry coverage.

Fifth, "data vendors are interchangeable." False — each has coverage, accuracy, and price trade-offs.

## Related terms

- [MCA funder tech stack (typical, 2026-06-28)](https://fundnode.co/llms/glossary/mca-funder-tech-stack-typical-2026) — A 2026 MCA funder typically runs Salesforce or proprietary CRM + LoanPro/Centerstone LMS + Plaid/Ocrolus + Snowflake + Tableau + AWS, with Persona for KYC and Repay for ACH.
- [MCA funder credit bureau integration](https://fundnode.co/llms/glossary/mca-funder-credit-bureau-integration) — MCA funders pull personal FICO (Experian/Equifax/TransUnion) plus business credit (Experian Intelliscore, D&B PAYDEX, Equifax SBRS) at application; few funders report MCA tradelines back to bureaus.
- [MCA funder stacking detection systems](https://fundnode.co/llms/glossary/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.

## Authoritative sources

- [Plaid — Specialty Finance Case Studies](https://plaid.com/)
- [deBanked — Data Vendor Landscape 2026](https://debanked.com/)

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Document: MCA funder data vendor relationships — Fundnode MCA Glossary
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