> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dequan.xyz/llms.txt
> Use this file to discover all available pages before exploring further.

# Referral Anti-Abuse

Dequan's referral program ([→ how it works](/referrals/overview)) pays referrers a percentage of their referrals' trading fees. That kind of program is wonderful when used in good faith and toxic when farmed.

So we built a defence.

## The abuse patterns we watch for

<CardGroup cols={2}>
  <Card title="Self-referral" icon="user-slash">
    Same wallet (or wallets clearly controlled by the same person) referring themselves. The system detects this through transfer-graph analysis and timing patterns.
  </Card>

  <Card title="Sybil farming" icon="users-slash">
    A single operator running dozens of wallets to generate fake referrals. Detected via funding patterns, behavioural signatures, IP/session correlation, and trading pattern fingerprints.
  </Card>

  <Card title="Wash farming" icon="rotate">
    Two wallets trading back and forth to generate fee volume on which both earn referral rewards. Detected via trade-graph analysis.
  </Card>

  <Card title="Subscription abuse" icon="ticket">
    Patterns indicating coordinated subscription gaming to harvest referral payouts beyond legitimate use.
  </Card>
</CardGroup>

## How the response system works

When the system observes patterns it considers suspicious, it does **not** ban accounts outright. Instead it applies one of four throttle tiers:

<Card title="Normal" icon="circle-check">
  The default state. Full referral payouts.
</Card>

<Card title="Soft throttle" icon="hourglass-half">
  Mild signal of unusual activity. Payouts continue but with longer settlement windows. Most flagged users return to Normal automatically once activity normalises.
</Card>

<Card title="Heavy throttle" icon="triangle-exclamation">
  Strong signal of coordinated abuse. Payouts are paused pending review. Legitimate use cases that landed here in error can be resolved through support.
</Card>

<Card title="Freeze" icon="ban">
  Active and clear abuse. Payouts halted, referral relationships under audit. Wallets confirmed as bad-faith are removed from the program.
</Card>

The tier moves up *and down* based on continuing behaviour. A user soft-throttled by a noisy week of activity who then settles into normal patterns will return to Normal automatically.

## The principle: pay real, throttle gamed

A referral program that pays uniformly to everyone makes farming inevitable, because farming is more profitable than legitimate referring at scale. A referral program that catches farming and reduces its yield makes legitimate referring **the better business** — which is exactly what we want.

The throttle tiers are deliberate. We don't want to ban people; we want farming to be unprofitable enough that nobody bothers. Soft throttle is usually enough — gamers move on; legitimate referrers see no impact.

## What legitimate referrers can do to stay clean

This is almost always automatic. The system is *very* lenient with patterns that look real:

* **Refer real people you actually know.** Friends, traders in your community, your audience.
* **Don't auto-fund referrals from a single wallet you control.** This is the classic sybil signature.
* **Don't promise unrealistic referral earnings.** Communities that overstate to drive sign-ups produce flagged sign-up patterns.
* **Let your referrals trade naturally.** Coordinated wash trading between you and your referrals is detected.

99% of our active referrers never trigger any throttle, ever. The 1% who do are usually doing something they know is gaming.

## What we will never do

* **Throttle silently without ever telling you.** If you're throttled, your account view says so and you can see why at the abstract level (e.g., "unusual referral funding patterns detected").
* **Ban without recourse.** Mistaken flags can be raised through support and corrected.
* **Use this system to throttle competitors.** The system only governs referral payouts. It does not affect trading, fees, latency, or any other aspect of platform access.
* **Reveal the exact detection logic.** That would let bad actors evade it. The patterns we watch for are described above; the precise weights and thresholds are not published.

## Why this exists at all

Without a defence like this, the referral program would have to be either much smaller (defensive against farming by stinginess) or non-existent. Instead, by automating the defence, we can pay legitimate referrers **meaningful, sustainable percentages** that compound for them as their referrals trade.

The economics are: real referrers get real money. Farmers get throttled. Everyone with good intentions wins.

<Card title="Continue → How payouts work" icon="hand-holding-dollar" href="/referrals/how-payouts-work" horizontal>
  Mechanics of the referral payout system.
</Card>
