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Froddy for CPA Networks

Real-time circuit breaker for partner payouts in affiliate and CPA networks.


Who This Page Is For

This page is for Heads of Payments, Risk / Operations Leads, and Affiliate Managers at CPA and affiliate networks who manage automated partner payouts.

If your team is responsible for approving and disbursing partner commissions — and anomalies are typically caught after money has left — this is relevant.

For product fundamentals (what Froddy is, how rules work, how enforcement operates), see Docs. This page covers how Froddy applies specifically to CPA networks.


Typical Risk Classes

Risk class What happens Blast radius
Entity overlap (shared device) One person creates 10+ partner accounts from the same device and collects payouts from all of them Proportional to fake account count × average payout; often undetected for weeks
Velocity abuse A partner generates hundreds of micro-conversions in a short window, triggering rapid sequential payouts Cumulative loss grows until someone manually spots the pattern
Ceiling breach A new or low-volume partner suddenly accumulates $100K+ in daily payouts — far outside their historical profile Full daily exposure at risk; often discovered in next-day reconciliation
Duplicate payout bug A system error causes the same conversion to trigger multiple payouts to the same partner Exponential — loss grows every second the bug runs without a limit

Froddy does not detect the intent behind these risks. It limits blast radius by flagging anomalies in amount, velocity, and daily exposure before money moves.


Where Froddy Fits

Conversion validated        Froddy evaluates            Payout executes
[Your Payout Engine] ──→   [ Froddy ] ──→      [Bank / PSP API]
                            evaluates in ms
                            allow / hold / block

Froddy sits between your payout engine (after conversion is validated and payout is approved) and the actual bank or PSP call. One API call before each payout. In observe-only mode, your payout flow continues uninterrupted — Froddy logs without blocking.


Signals & Scenarios

Anomalous single payout. A partner who normally earns $500–$2,000 per payout submits one for $35,000. → Caught by: R-COHORT (single transaction anomaly)

Daily exposure spike. A mid-tier partner's cumulative daily payouts reach $60,000 — well above their usual $10,000/day pattern. → Caught by: R-CEIL (daily ceiling)

Payout velocity flood. A partner generates 45 payout requests in one hour. Their normal rate is 3–5 per day. → Caught by: R-VEL (velocity spike)

Shared-source entity cluster. Five distinct "partner" accounts submit payouts from the same source hash within 24 hours — a pattern indicating duplicate-generating infrastructure or misconfiguration. → Caught by: R-DEDUP (source hash deduplication)

New partner, immediate high volume. A partner registered last week is already accumulating $80,000/day in payouts — no historical baseline to justify this. → Caught by: R-CEIL (daily ceiling)

Micro-conversion burst. Hundreds of $5–$15 payouts from one partner in rapid succession, individually unremarkable but anomalous in aggregate. → Caught by: R-VEL (velocity spike)


These are starting points — observe-only mode exists to validate them against your actual traffic.

Rule Parameter Suggested start Why
R-COHORT hold_usd $15,000 Above typical single partner payout for mid-size networks
R-COHORT block_usd $75,000 Well beyond any normal single payout event
R-CEIL daily_ceiling_usd $40,000 Above typical daily earnings for a top-performing partner
R-VEL max_count / window 20 txns / 1h 2–3× the normal transaction rate for active partners
R-DEDUP max_entities 3 Source hash clustering is common in CPA duplicate scenarios; tight default is appropriate

Product defaults for reference: R-COHORT hold $25K / block $100K, R-CEIL $50K, R-VEL 20/1h, R-DEDUP 3 entities. See /docs Rules Reference.


Example Verdict Outcomes

Scenario A → ALLOW Partner_127 submits a $2,400 payout. Their daily total is $8,500, well below the ceiling. Transaction rate is normal. No source hash clustering. Result: all rules pass → allow. Payout proceeds normally.

Scenario B → HOLD Partner_42 submits a $6,000 payout, bringing their daily total to $44,000. The daily ceiling is $40,000. Result: R-CEIL triggers → hold-for-review. In observe-only mode this is logged and an alert is sent. With active enforcement (available by arrangement), the payout would be queued for review.

Scenario C → BLOCK Source hash dev_x9f3 is associated with payouts from 7 different partner accounts within 24 hours. The block threshold is 6 entities. Result: R-DEDUP triggers → block. In observe-only mode this is logged. With active enforcement (available by arrangement), the payout would be rejected.


When to Start

An evaluation is particularly timely when:


Minimum Evaluation Scope

Integration details: API Reference


Evaluation Success Criteria

  1. Detection coverage — Froddy flags at least 5–10 transactions that the ops team confirms as genuine anomalies or useful catches
  2. Acceptable false positive rate — after tuning, the hold+block rate on legitimate payouts is within a range the ops team is comfortable with
  3. Operational fit — the risk/affiliate team can review verdicts and alerts without engineering support
  4. Visibility value — the dashboard surfaces patterns (top triggered partners, daily exposure distribution) that were not previously visible

What Froddy Does NOT Do in CPA

Froddy is a circuit breaker for payout execution risk, not a replacement for your anti-fraud or traffic quality platform. See What Froddy Does — and What It Doesn't.


Learn More

Resource Link
Product documentation froddy.io/docs
API reference froddy.io/api
Interactive demo froddy.io/demo

Ready to evaluate? Request an evaluation or try the demo.