ZAPINNER

// Revenue leakage

Find commercial discrepancies hiding in your data.

Analyze orders, invoices, and payments to surface mismatches, duplicates, and potential leakage — with evidence behind every finding.

Who this is for

  • Finance and RevOps teams reconciling billing against usage
  • Ops teams matching orders, invoices, and payments across systems
  • Founders who suspect leakage but can't quantify it by hand

The problem

Revenue slips through the cracks between systems: duplicate charges, unbilled usage, mismatched invoices, and orders that never reconciled. These discrepancies are hard to spot by hand across thousands of records.

Where it goes wrong

Systems that never agree

Your billing system, payment processor, and order database each hold a version of the truth. Nobody has time to reconcile thousands of rows by hand, so mismatches accumulate unseen.

Duplicate and orphaned charges

Retries and webhook replays create duplicate charges; cancelled orders leave orphaned invoices. Individually small, collectively material.

How it works

  1. Send your commercial data

    Provide orders, invoices, and payment records to the Revenue Leakage endpoint.

  2. Zapinner reconciles and analyzes

    Records are matched across sources to find exact, probable, and unmatched entries, along with conflicts and duplicates.

  3. See the evidence

    Each potential discrepancy comes with the specific records and fields behind it — so findings can be reviewed, not just trusted.

  4. Quantify potential exposure

    Findings are summarized with a cautious, evidence-backed estimate of potential exposure to help you prioritize what to investigate.

How Zapinner solves it

Reconciliation, then analysis

The revenue-leak workflow matches records across your sources to classify them as exact, probable, or unmatched, surfaces conflicts and duplicates, and attaches the specific records behind each finding so it can be reviewed rather than trusted blindly.

Evidence over estimates

Every finding carries the underlying records and fields. Any exposure figure is a cautious, evidence-backed estimate — never a guaranteed recovery number.

Analyze commercial records for leakage

bash
curl -X POST https://zapinner.com/api/v1/revenue-leak \
  -H "Authorization: Bearer $ZAPINNER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "orders":   [ { "id": "ord_1", "amount": 1200, "customer": "acme" } ],
    "invoices": [ { "id": "inv_9", "amount": 1000, "customer": "acme" } ]
  }'
# -> findings[] with matched/unmatched records, conflicts, and evidence

Reliability & security

No unsupported financial guarantees

Zapinner reports discrepancies and a cautious estimate of potential exposure with evidence. It does not promise recovered dollars — the numbers are a prioritization aid, not a guarantee.

The outcome

A prioritized, evidence-backed list of discrepancies worth investigating — no unsupported guarantees, just the data.

Frequently asked

Does Zapinner promise how much revenue I'll recover?
No. It surfaces discrepancies with evidence and a cautious estimate of potential exposure so you can prioritize investigation. Any recovery depends on your own review and action.
What data does it need?
Structured records from the systems you want reconciled — for example orders, invoices, and payments — with the fields that link them (amount, customer, dates, identifiers).

Send Zapinner messy data. Get clean records back.

Analyze Data Free