invoice_anomaly_check
shallowio.github.iabdullahm/rafid-agent-api · Verify this server
Detect duplicate, inconsistent, unusual or potentially fraudulent invoices before payment using arithmetic, supplier-history, purchase-order and payment-detail checks. Returns a 0–100 risk score, a risk level, an advisory decision (continue / review / hold) and machine-readable anomalies (e.g. DUPLICATE_INVOICE, POSSIBLE_DUPLICATE, BANK_ACCOUNT_CHANGED, PO_AMOUNT_EXCEEDED, SPLIT_INVOICE_PATTERN, SUBTOTAL_MISMATCH), each with severity, confidence and structured evidence. Works on a single invoice (standalone) or with optional historical invoices, supplier profile, purchase order, contract, approval threshold and payment history (context-aware). Deterministic, decimal-safe, any country and currency. Use before approving, paying, booking, reconciling or auditing an invoice, especially when an agent needs to determine whether the invoice requires human review.
1 trials · measured 14 days ago
invoice_anomaly_check scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.iabdullahm/rafid-agent-api, measured 23 Sept 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- unreachable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-09-23 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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