DataCops vs CHEQ
CHEQ scores invalid traffic at the edge. DataCops filters it at ingestion, inside the data layer.
CHEQ rebranded to go-to-market security and moved upmarket, with enterprise quotes reaching five figures a year and no public pricing. Its IVT scoring is credible, but it operates as a proxy layer in front of your site, making blocking decisions before your funnel. DataCops sits inside your first-party event pipeline, so invalid traffic is dropped at ingestion and never enters your analytics or CAPI payload in the first place.
Start FreeBlocking bots is table stakes. What happens after is what matters.
DataCops detects, blocks, and feeds clean signals back to your ad platforms - in one layer, not three separate tools.
One platform that captures, verifies, and activates - instead of patching three tools together.
CHEQ intercepts traffic at the edge, so polluted events still reach your data layer.
A proxy-based blocker makes decisions in front of your funnel and carries false-positive risk: aggressive rules will catch some real users. More importantly, CHEQ's IVT scoring runs as a separate system disconnected from the analytics and CAPI events that feed your attribution. Blocking a bot at the edge does not remove the events that bot already sent.
What the gap actually looks like
CHEQ does not publish pricing. Enterprise go-to-market-security quotes have historically landed in the five-figures-a-year range quickly. The opacity is itself a friction point: teams cannot evaluate fit without a sales cycle. The original ClickCease product, which CHEQ acquired, started as a focused SMB blocker and the enterprise rebrand has left many mid-market buyers without a clear-fit product.
Any pre-bid or proxy-based blocker trades some real traffic for fraud reduction. CHEQ tunes its rules, but blocking decisions made in front of the funnel will always carry false-positive risk. A real visitor with an unusual IP pattern or a VPN gets turned away before your site ever sees them, with no visibility into why.
CHEQ's IVT scoring runs outside your data layer. A bot that passes CHEQ's edge check still generates analytics events, CAPI conversions, and attribution signals. The two systems are not synchronized, so your reporting reflects a different population than what CHEQ blocked.
How DataCops fixes CHEQ's gap
DataCops collects first-party events on your own subdomain and runs every event against a 361.8 billion IP database at the moment of ingestion. Invalid traffic is flagged before any event is written to analytics or forwarded to Meta CAPI or Google. Nothing gets blocked at the edge and then re-admitted to your data; the verdict and the event live in the same pipeline.
Because the filter is native to the collection pipeline, DataCops carries no false-block risk for real visitors. Flagged events are dropped from downstream destinations but the visit still happens. Real users never see a challenge or a block page; fraud is removed from your data without friction on your funnel.
DataCops is a newer brand than CHEQ, and SOC 2 Type II certification is in progress. The shared CAPI relay is still in verification. For enterprises that need broad IVT scoring across the whole funnel and have the budget for a custom-quoted platform, CHEQ is credible. For teams that want invalid traffic removed from the data layer rather than intercepted at the edge, DataCops is the right architecture.
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Point your tracking at DataCops and bot traffic stops draining budget within minutes.
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<script src="https://datacops.yourdomain.com/core.js"></script>Point Your DNS to DataCops
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Integration
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FAQ
Most fraud tools rely on IP blacklists and basic heuristics - effective against older bots, weak against modern ones that rotate IPs and mimic human behavior. DataCops uses device fingerprinting, interaction patterns (mouse, scroll, keystroke timing), and network signals (proxy, VPN, datacenter) scored in under 50 ms, then blocks or flags before conversion tracking fires.
