Use case summary
Integrate your systems with Corefy once. The platform's 600+ pre-built provider integrations translate every provider's statuses, fields, and callbacks into one unified data model as transactions flow through. Your platform, BI, and reconciliation read a single schema; adding a provider changes what processes your payments, but not the data your systems consume.
- Developers & CTO
- Payment Ops
Why payment data differs across providers
Payment providers rarely use consistent data formats. API schemas and status codes differ ('approved' at one provider is 'authorized' at another and '00' at a third), and so do webhook payloads, field names, and settlement file layouts. A business using several providers has to build and maintain an adapter for each — code that converts the provider's format into what internal systems expect.
Those adapters break silently: a provider updates its API or adds a status code, the mapping falls behind, and the problem surfaces later as analytics that don't add up or reconciliation gaps that take days to trace. Meanwhile, reporting, finance, and the data warehouse either inherit the inconsistencies or redo the mapping work themselves. Every new provider adds one more format to support.
How to run every provider's data through one model
Normalization on Corefy happens at the connector level, before data ever reaches you: whatever the provider sends, your systems receive it in the platform's unified structure.
- 1
Integrate with one API
Your systems connect to Corefy once. From then on, that single integration is where all payment data arrives — the per-provider adapters and the maintenance they demand have no reason to exist on your side.
- 2
Let connectors do the translating
Each of the 600+ ready-made connectors speaks its provider's protocol and maps the responses into Corefy's data model. When a provider changes its API, Corefy's team updates the connector; the schema your systems read stays put.
- 3
Read one status model
Every provider's status and decline codes map to the platform's unified statuses and resolutions — 'declined', 'settled', 'refunded' each mean exactly one thing across your whole stack, which is the precondition for analytics and reconciliation that don't lie.
- 4
Receive callbacks in one format
Payment events arrive as webhooks in a single structure regardless of which provider processed the transaction, so your handling logic is written once rather than per provider.
- 5
Keep the raw detail when you need it
Normalization doesn't discard anything: each transaction retains its full log of provider requests and responses, so engineers can always drop below the unified layer when investigating an edge case.
What you get
Your systems work with one data structure, regardless of the provider mix behind it.
No more adapters to write or maintain
Format conversion lives within Corefy's provider integrations and is maintained by Corefy's team — provider-side changes are absorbed there, without work for your engineers.
New providers with zero data-model cost
The commercial decision to add a PSP no longer carries a hidden engineering project; the new provider's data arrives in the same shape as everyone else's.
Downstream systems that can trust the data
Analytics, reconciliation, and your warehouse use a single consistent schema, so cross-provider numbers are comparable by construction rather than through ongoing mapping effort.
Translation bugs off your incident list.
When mappings live in your own codebase, a changed status code or renamed field can break them without warning. With the mapping handled within Corefy's integrations, that failure mode is entirely on Corefy's side.
Data fragmentation is expensive
Fragmented payment data is the norm at scale, and finance leaders are actively trying to escape it. In Stripe's survey of finance leaders, 63% said they use more than 10 systems just to get a unified view of their financials, and 45% spend more than 10 hours every month manually reconciling data and fixing errors across those systems. The consequences extend to the numbers themselves: 35% of organizations must reopen their books or restate earnings at least once a quarter due to post-close errors. The response is nearly unanimous in direction — 55% of finance leaders plan to consolidate their software within one to two years, most often to centralize data for faster, more accurate insights. Normalizing every provider's data into one model is what that consolidation looks like in the payment stack.