Every click scored against open-source threat signals and rule-based checks. Per-brand enforcement modes (monitor, warn, or block) plus a configurable rules engine so you decide what counts.
Rule-based, scored on capture.
| Critical | Datacenter IP + bot signature clk_8f2a · Frankfurt, DE | 94 / 100 |
| High | Click velocity over threshold clk_3d71 · Mumbai, IN | 78 / 100 |
| High | Low IP reputation score clk_a45e · Lagos, NG | 71 / 100 |
| Medium | Duplicate conversion cnv_b09c · Austin, US | 56 / 100 |
Known bot signatures, headless-browser detection (Puppeteer, Playwright, Selenium), and user-agent analysis block non-human traffic before it reaches your reports.
Every click gets a score from deterministic rules: IP reputation against open-source threat feeds, datacenter detection, velocity, geography, and device fingerprint. No ML black box; every score is explainable.
An optional in-redirect challenge catches sophisticated headless browsers in real time using FingerprintJS BotD. Adds ~80ms to the redirect; only fires on suspicious traffic.
Pick the mode that fits your risk tolerance: monitor (score everything, block nothing), warn (flag for review), or block (auto-reject above threshold). Configure per-offer thresholds anywhere from 0 to 100.
Build custom rules in a visual editor combining IP range, velocity, geo mismatch, fingerprint recycling, and more. A dedicated fraud dashboard shows partner-level risk, signal breakdowns, and trends.
Some platforms charge $200+/mo for a fraud add-on or gate it behind enterprise plans. Trcker includes every layer (scoring, BotD, the rules engine, and the dashboard) on every plan.
View pricingIt depends on your brand's enforcement mode. In monitor mode, every click is scored but nothing is blocked, which is useful for tuning thresholds. In warn mode, suspicious clicks are flagged for review. In block mode, clicks above your threshold (default 90) are auto-rejected and excluded from attribution. Rejected clicks still appear in your fraud dashboard so you can audit them.
Yes. Per-offer thresholds run from 0 to 100. Lower the threshold to be more aggressive, raise it to let more borderline traffic through. Pair with the rules engine to add brand-specific signals.
No, by design. The scoring engine is rule-based and uses open-source threat signals (datacenter CIDR lists, IP reputation, headless-browser fingerprints). Every flagged click comes with a human-readable explanation of which rules fired. No black box, no model drift, no surprise blocks. Ezra, Trcker's AI affiliate manager, can read those explanations and recommend partner-level actions.
No. Every layer is included on every plan. No add-ons, no per-click fees, no Enterprise gate.
Partners see their rejection rate in the partner portal but not individual click scores. This prevents bad actors from gaming the system.
Fraud detection runs on every click from day one. Free during early access.
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