True MCA burden
MetrikData delivers the MCA read itself — positions, cadence, burden, signals — rather than enriched transactions you still have to turn into an underwriting view.
Compare
MetrikData vs Heron Data for MCA underwriting
Heron Data provides transaction-enrichment and cash-flow APIs for lenders to build on. MetrikData is a ready-made, self-serve MCA read. Here’s how they compare for an MCA workflow.
Side by side
MetrikData vs Heron Data
CapabilityMetrikDataHeron Data
MCA burden (financing excluded)YesPartial
Cadence typing (MCA vs loan)YesPartial
Stacking positions detectedYesPartial
Self-serve, single PDF uploadYes—
Transparent published pricingYes—
Fraud / tampering checksPartialPartial
Document scopeBank statements (MCA-focused)Transactions / enrichment API
DeploymentWeb app + APIAPI-first
Yes / Partial / — reflect fit for the MCA bank-statement use case specifically, not overall product breadth.
Why the difference matters
Built for one job, not every document
Cadence-based position typing
The stacking, cadence-typing, and burden rules are in the product, tuned against real statements — no need to encode them yourself.
Self-serve, single PDF
Upload a PDF in the app and get output immediately; no API integration or build phase required to start underwriting.
Data, not a decision
Plans are public and usage-based where it matters — you can size cost before committing.
Every figure traces to a row
Every metric points back to the transactions that produced it, so a position or burden number can be checked at the row level — not just accepted.
Reads the statements you actually get
Statements arrive as PDFs and are read as PDFs — text or scanned, from any major US bank — with no data pipeline to build first.
The honest take
Heron is stronger if you’re building your own underwriting stack
Heron Data is an enrichment and cash-flow API designed for teams that want to build their own underwriting logic on top of clean, categorized transaction data. If you have engineering resources and want a data layer to compose with, that’s a solid foundation. MetrikData is the opposite trade-off: an opinionated, finished MCA read you can use today without building anything — the MCA logic is already in the product.
For the MetrikData side of that trade-off, see the MCA underwriting software overview — or brush up on the terminology in the MCA glossary.
FAQ
Common questions
Is MetrikData an alternative to Heron Data?
For teams that want a finished MCA read rather than an enrichment API to build on, yes. Heron provides a data layer; MetrikData provides the MCA underwriting output directly.
Does Heron do MCA burden and stacking?
Heron enriches and categorizes transactions that a team can use to compute such metrics. MetrikData computes MCA burden and detects stacking positions out of the box, with the MCA rules already applied.
Do I need engineers to use MetrikData?
No. Unlike an enrichment API, MetrikData is self-serve — upload a statement and read the result in the app, no integration work required.
Keep exploring
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See the difference on your own statement
Start free — run a real merchant statement and compare the output yourself.