Payment Data API for Reporting & Analytics | WebFootprint
Payment Integrations Payment Data → Analytics API

Expose Payment Data Through an API for Reporting and Analytics

Your payment numbers live in PayFast, Yoco, Peach, and Stripe dashboards. Every board pack still starts with CSV exports, spreadsheet glue, and a finance lead hoping the VLOOKUPs survived the weekend.

We build the payment data API that feeds your BI tools instead.

A Payments glass panel with transaction rows connected by a cyan data ribbon to an Analytics API badge, with chart tiles and data cards mid-flight
60–80 hrs
per month lost to multi-gateway CSV aggregation and reconciliation
88–94%
of accounting spreadsheets contain at least one fault
R130–R195
fully loaded cost to manually reconcile a single payment
366%
median 3-year ROI reported for Power BI when data actually feeds it
The Problem

Sound Familiar?

These are the exact issues CFOs and analytics leads brought us before we exposed their payment reporting through an API:

  • Finance logs into PayFast, Yoco, Peach, and Stripe separately every month to export CSVs
  • Board packs take days because someone is still stitching gateway files in spreadsheets
  • Cohort revenue and failure-rate dashboards go stale the moment the next export lands
  • One in ten spreadsheet reconciliations hides a formula or copy-paste error nobody caught
  • BI tools sit idle because payment data never leaves the provider dashboards

South African multi-gateway stacks make this worse every quarter. PayFast, Yoco, Peach, and Stripe each ship different fee schemas, settlement timings, and export formats. Board packs built on last week's CSVs are already stale before EXCO opens the file.

How It Works

What the Payment Analytics API Actually Does

Gateways settle → data normalises → BI refreshes. No human copying payment reporting between portals and spreadsheets.

1

Gateways Settle

PayFast, Yoco, Peach, Stripe, and the rest keep processing as they do today

2

API Normalises

Transactions, fees, refunds, and settlements land in one payment data schema

3

BI Tools Refresh

Power BI, Looker, Metabase, or Sheets pull the payment analytics API on schedule

4

Board Pack Ready

Cohort revenue and failure-rate views arrive without spreadsheet glue

What We Build

Everything You Need for Reliable Payment Reporting

Normalised Payment Data API

Transactions, settlements, refunds, and fees from every gateway land in one clean schema. Power BI, Looker, Metabase, and Google Sheets read the same payment analytics API.

Multi-Gateway Ingestion

PayFast, Yoco, Peach, Stripe, Ozow, and Stitch feeds normalise into one ledger of record. Add a provider without rebuilding every report.

Board-Ready Reporting Feeds

Cohort revenue, authorisation rates, and failure reasons refresh on a schedule your CFO trusts. Board packs stop waiting on Friday CSV glue.

Settlement and Fee Visibility

Gross vs net, MDR by channel, and settlement timing sit beside the transaction. Fee leakage stops hiding inside a lump P&L line.

BI Tool Connectors

Your analysts keep Power BI, Looker, Metabase, or Sheets. We expose the payment reporting layer they already know how to query.

Audit-Ready History

Every pull is timestamped and attributable. When auditors ask how a board figure was built, you point at the API, not a forgotten workbook.

Gateways and BI Tools We've Connected

PayFastYocoPeach PaymentsStripeOzowStitchPower BILookerMetabaseGoogle Sheets
Client Story

From 14 Hours/Week to Under 2

How a multi-gateway retailer stopped spreadsheet board packs and put live payment analytics in front of the CFO.

Before

The Manual Process

  • Finance exported CSVs from PayFast, Yoco, Peach, and Stripe every Monday
  • One analyst spent most of Tuesday aligning fee columns and settlement dates
  • Board pack revenue figures were rebuilt by hand each month
  • Failure-rate and cohort views only existed if someone had spare hours
  • EXCO decisions waited on data that was already a week old
14 hrs/week on payment reporting glue
After

The API-Fed Process

  • All four gateways write into one normalised payment data API
  • Power BI refreshes cohort revenue and failure rates on a fixed schedule
  • Finance reviews exceptions instead of rebuilding the workbook
  • Board packs pull the same figures the CFO sees mid-month
  • Adding a fifth gateway no longer means redesigning every chart
Under 2 hrs/week reviewing exceptions
600+ hours saved per year
3 days → morning board pack payment section
R280K+ recovered in staff time (year 1)
9 weeks to full ROI
The Difference

Before vs After a Payment Data API

Before
After
Monthly payment reporting
60–80 hours across gateways
Review exceptions only
Board pack payment section
2–3 days of CSV stitching
Same-morning refresh
Source of truth
Four dashboards + Excel
One payment analytics API
Spreadsheet error risk
88–94% of workbooks faulty
API-fed metrics, audited pulls
Cohort and failure views
Ad hoc, often skipped
Always-on in Power BI / Looker
Annual time recovered
None
600+ hours
Getting Started

How It Works

From first conversation to a live payment reporting API in 2–4 weeks.

01

Map Your Reporting Pain

Which gateways you run, which CSVs finance still exports, and which BI tools should consume the payment data API.

02

Free Scoping Call

30-minute call to design the schema, refresh cadence, and the first board-pack metrics that matter.

03

Build and Parallel-Test

We build the payment analytics API, backfill history, and run parallel against your next close until figures match.

04

Go Live and Monitor

Switch board packs and dashboards onto the API. Monitoring flags feed gaps before the next EXCO meeting.

Questions

Frequently Asked Questions

How long does a payment data API take to build?

A focused payment analytics API covering two gateways and one BI consumer typically takes 2 to 4 weeks from scoping to go-live. Multi-gateway setups with Power BI, Looker, or Metabase dashboards usually take 4 to 6 weeks.

How is this different from a real-time payment dashboard?

A dashboard is a screen. A payment data API is the feed underneath: normalised transactions, settlements, and fees that Power BI, Looker, Metabase, Sheets, and your own reports can all consume. We often wire both, but the API is what stops spreadsheet glue from returning.

Will this replace our PayFast or Peach dashboards?

No. Provider dashboards stay for disputes, payouts, and support. What changes is how finance and analytics get aggregate payment reporting without logging into each portal and exporting CSVs.

Which BI and spreadsheet tools can connect?

Power BI, Looker, Metabase, Google Sheets, and any tool that can call a documented REST feed or pull a scheduled extract. If your analysts already live in one of those, we design the payment reporting layer around how they work today.

What about historical data and backfill?

We backfill enough history for year-on-year board packs and cohort views, then keep the feed current. You choose the lookback window during scoping so YoY charts do not start empty.

How much does a payment data API cost?

Focused two-gateway payment analytics APIs with one BI consumer start from around R35,000. Multi-gateway payment data APIs feeding Power BI or Looker with fee and cohort models typically range from R55,000 to R95,000. Teams burning 60+ hours a month on CSV reconciliation usually see ROI within 2 to 3 months.

Ready for accurate payment analytics?

Stop Building Board Packs from Gateway CSVs

If your finance team still logs into four payment dashboards to answer basic revenue questions, you are paying for a reporting problem that a payment data API already solves.

Tell us which gateways you run, which BI tools you trust, and which board metrics hurt the most. We will show you exactly how a payment analytics API would feed them.

Chat with us