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Invoice Match

Three-way match an invoice against a list of purchase orders (amount %-diff + line-item similarity → best open PO, discrepancies, auto-approve verdict).

Three-way match an invoice against a list of purchase orders (amount %-diff + line-item similarity → best open PO, discrepancies, auto-approve verdict). Deterministic, no keys.

Metered access — free-key quota or x402 pay-per-call (USDC on Base). Details at /pricing.

Parameters

ParameterTypeRequiredDescription
invoiceobjectrequiredthe invoice (vendor_name,total,line_items[],…)
purchase_ordersarrayoptionalcandidate POs (po_number,status,received,total,line_items[])

Call it over MCP (JSON-RPC 2.0)

curl -s https://wingmanprotocol.com/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": {"name": "invoice_match", "arguments": {"invoice": {}}}}'

Or plain HTTP

curl -s https://wingmanprotocol.com/tools/invoice_match \
  -H 'Content-Type: application/json' \
  -d '{"invoice": {}}'

Try it live

Edit the JSON and run it — this POSTs to https://wingmanprotocol.com/tools/invoice_match from your browser.

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Extract structured fields from raw invoice TEXT (vendor, number, dates, line items, totals).
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Rule-based fraud risk for an invoice (duplicate / vendor-anomaly / round-amount / rush-terms) → score 0-100 +…