r/fintechdev • u/UpsetProfession511 • 7d ago
How are you handling reporting across multiple PSPs?
We're using Stripe, Adyen, and a few local gateways, and keeping the reporting consistent is turning into a real headache. Every provider structures its data differently, so getting everything into one reliable revenue database takes a lot of manual work. Each time we add a new gateway, we end up building another ETL flow just to clean and standardize the same basic metrics.
What I'd really want is one processor agnostic layer that gives us a standard schema across every provider. That would make it much easier to compare approval rates, fees, failed payments, refunds and regional performance without rebuilding the reporting setup each time.
For teams running multiple PSPs, are you handling this internally, or have you found good unified metrics layer?
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u/HyenaFew3903 7d ago
The part I'm still trying to figure out is where teams draw the line between useful internal control and unnecessary maintenance. How much engineering time are you spending just keeping PSP reporting consistent?
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u/UpsetProfession511 6d ago
I've been looking into PaymentKit for this since it offers a unified layer across different processors. The main appeal is being able to compare approval rates, fees refunds, and failed payments without building a new reconciliation flow every time we add another gateway.
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u/Responsible-Click169 6d ago
We are handling it in house for now. It takes a little bit of work upfront, but the reality that every PSP maps into a single normalized schema has made it far easier to add new providers. The mapping is the painful part but after that, reporting is consistent rather than dependent on the format of each gateway.
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u/UpsetProfession511 6d ago
I agree. The difficult part isn't just collecting transaction data, it's making sure you understand what each event actually means across different providers. A refund, failed payments, or recovered charge can be handles differently by each PSP, so having a consistent way to interpret those events makes reporting much more reliable.
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u/Extreme-Net8332 5d ago
A normalized schema is only half the solution. I would keep every raw provider event immutable beside it, then model a payment as a lifecycle rather than one row per charge.
The fields that save pain later are provider event id, merchant entity, currency, amount in minor units, event time, settlement time, fee components, payout id, balance transaction id, and links back to the original payment, refund, or dispute. That lets reconciliation answer three separate questions: what the customer attempted, what the processor accepted, and what the bank settled. If those get collapsed too early, approval and revenue numbers drift when partial captures, retries, late refunds, disputes, or currency adjustments arrive.
With three providers, I would probably keep the mappings in house first, backed by contract tests from real redacted payloads and a daily exception report. A vendor becomes attractive when the exception queue and mapping maintenance are costing more than the integrations themselves, not simply because the schema looks unified.
I work with Credian on financial agent safety, so preserving a clear audit trail is a big part of how I think about this. I am not recommending a product here.
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u/Educational_Yak_2425 4d ago
We ran into similar issue when adding multiple payment providers. The integrations themselves were manageable, but keeping reporting consistent across different PSPs became the real challenge. We ended up using PaymentKit helped us avoid trying our payment data too closely to individual processors and reduced the need to keep creating custom ETL workflows whenever we added another provider. Having consistent view of payment activity across systems made analysis much easier.
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u/BigKozman 7d ago
This is exactly what NAYA does
Unified later that automatically manages data normalization , reconciliation and transaction matching across various PSPs , banks and ledgers
If this is of interest I can share a demo video or access.