---
title: "Fraud"
id: "1767"
type: "page"
slug: "fraud"
published_at: "2026-09-20T21:35:43+00:00"
modified_at: "2026-09-20T21:42:43+00:00"
url: "https://xedant.com/agents/analytics/docs/templates/fraud"
markdown_url: "https://xedant.com/agents/analytics/docs/templates/fraud.md"
excerpt: "Templates for the questions a payments team asks: how to catch fraudsters without angering honest…"
---

# Fraud

[https://xedant.com/agents/analytics/docs/templates/fraud.md](https://xedant.com/agents/analytics/docs/templates/fraud.md)

Templates for the questions a payments team asks: how to catch fraudsters without angering honest customers, what looks strange in a transaction flow when nobody labeled it, where money moves in circles — and whether the data can be trusted before you build conclusions on it. This section has 4 templates.

Every template is a live walkthrough on demo data: open it in the Templates section of Analytics Agent and press “Use this template” to run it on your own transaction flow.

### Card Fraud Detection (The Catch-And-Anger Trade, Measured)

**Shows:** it finds rare fraudulent transactions without blocking half your customers: three models compete on history, the alert threshold is set by the price of a missed fraud against an angered customer, and every flag comes with reasons you can check by hand.

**You get:** the “catch or don’t anger” trade measured in numbers: a lot of fraud caught, few honest payments blocked.

### Transaction Anomalies (No Labels, Two Detectors, Reasons Attached)

**Shows:** it finds the strange stuff in a transaction flow when nobody confirmed in advance what was fraud: two independent detectors, high severity only when both agree, a plain-language reason on every flag, and a ready-made notification rule.

**You get:** suspicious payments get noticed continuously, not once in a while — and a person can verify every finding in the payment system in seconds.

### Transfer Graph (Where Money Moves in Circles)

**Shows:** it finds “collect and spread” rings and fans in the transfer log: a clear search for fast circles with a stable amount, a fan rule for new counterparties, and centrality so a “central” account is not confused with a “suspicious” one.

**You get:** instead of an answer to “who is the fraudster”, a hint on where in the flow to look: rings and fans are tracked month after month.

### Data Quality Passport (Can I Trust This Feed?)

**Shows:** eight simple data checks before you start: a “pass / attention / fail” passport for each one, and every defect gets a date and a plain-language explanation.

**You get:** half of what looks like fraud is a broken export — checking the data and getting the passport is cheaper than investigating something that never happened.

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