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MetrikData — Structured, transaction-level MCA underwriting data extracted from merchant bank statements: AI-parsed and labeled line items (deposits, MCA debits, loan payments, fees) producing cadence-typed 'position' records (MCA vs. loan), true-revenue calculations (stripped of financing inflows/transfers), daily/weekly debt-service burden, negative-balance/NSF-day flags, and statement-tamper-detection signals — generated as the core output of MetrikData's document-analysis pipeline.. Very small, early-stage startup (1 employee per company profile data); product scope covers the US MCA/ISO/…
Datasets
1Structured, transaction-level MCA underwriting data extracted from merchant bank statements: AI-parsed and labeled line items (deposits, MCA debits, loan payments, fees) producing cadence-typed 'position' records (MCA vs. loan), true-revenue calculations (stripped of financing inflows/transfers), daily/weekly debt-service burden, negative-balance/NSF-day flags, and statement-tamper-detection signals — generated as the core output of MetrikData's document-analysis pipeline.
Scale Request further researchFrom 3 yearsCoverage Financials
Sample, licence terms, pricing and eval results when MetrikData publishes them. Until then, discover alternatives today with a 7-day trial.
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What buyers ask about MetrikData, answered from this page.
What does MetrikData do?
MetrikData — Structured, transaction-level MCA underwriting data extracted from merchant bank statements: AI-parsed and labeled line items (deposits, MCA debits, loan payments, fees) producing cadence-typed 'position' records (MCA vs. loan), true-revenue calculations (stripped of financing inflows/transfers), daily/weekly debt-service burden, negative-balance/NSF-day flags, and statement-tamper-detection signals — generated as the core output of MetrikData's document-analysis pipeline.. Very small, early-stage startup (1 employee per company profile data); product scope covers the US MCA/ISO/…
What data does MetrikData offer?
MetrikData offers (Alternative) — Request further research — volume scales with customer usage (1-3 credits consumed per bank-statement analysis); no aggregate dataset size or cumulative statement count disclosed..
What is MetrikData's data used for?
MCA underwriting automation for brokers/ISOs/funders/lenders, stacking detection and debt-service benchmarking, statement-tampering/fraud detection, and alternative small-business cash-flow risk modeling.
How is MetrikData's data delivered?
The data is with 3 years of history.
What does MetrikData cover?
Coverage spans US; Consumer Finance; alternative; equities.
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