DataCops vs Polygraph
Polygraph reports on ad fraud after the fact. DataCops filters it out before it enters your analytics or CAPI.
Polygraph surfaces invalid traffic patterns in your ad campaigns through monitoring and reporting. That visibility is useful, but knowing fraud happened is different from preventing it from entering your data layer. DataCops collects first-party events on your own subdomain, checks every event against a 361.8 billion IP database at ingestion, and strips invalid traffic before it reaches your analytics, attribution, or server-side CAPI payload to Meta, Google, TikTok, or LinkedIn.
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.
Polygraph tells you fraud happened. It does not stop it from entering your data and training your ad algorithms.
Monitoring tools report on invalid traffic after events have already been collected and forwarded. By the time a Polygraph report flags a pattern, the fraudulent sessions have already contributed to your analytics totals, your attribution model, and the audience signals your ad platforms use to find more traffic. The report is accurate. The damage is already in the data.
What the gap actually looks like
Industry research consistently puts bot-generated analytics events between 24 and 31% of total collected events, and invalid ad clicks between 25 and 35% of total clicks. A monitoring tool that reports on this contamination after events land means your campaigns have been training on polluted signals for the entire reporting window before any action is taken.
Ad platform algorithms, particularly Meta and Google's conversion optimization, use every event you send via CAPI as a signal for who to find more of. Invalid clicks and bot conversions forwarded before a fraud report is reviewed teach your campaigns to seek out the same bad traffic, creating a compounding feedback loop that a monitoring report cannot break.
Post-hoc fraud detection requires manual review cycles: receive report, identify patterns, update exclusion lists, wait for next cycle. Each step introduces latency. Fraud that entered your data on Monday may not be excluded until the following week, and the events it generated are already baked into your attribution and audience signals.
How DataCops fixes Polygraph's gap
DataCops filters fraud at the moment of event collection, before anything is written to analytics or forwarded downstream. Every event arriving on your first-party subdomain is checked against a 361.8 billion IP database. Invalid events are dropped at ingestion, never counted in your totals, never sent to Meta CAPI or Google, never used to train your campaigns.
The filter is continuous and automatic. There is no reporting window, no exclusion list to update, and no latency between detection and removal. Clean events flow through to your analytics and CAPI in real time. Bad events are discarded in real time. Your ad algorithms train only on the human-generated conversions that actually matter.
DataCops is a newer brand, and SOC 2 Type II certification is in progress. The shared CAPI relay is still in verification. If your primary need is forensic visibility into fraud patterns for compliance or reporting, a dedicated monitoring tool has its place. For teams who want fraud removed from the data before it compounds, DataCops is the right architecture.
Cut fraud spend in one afternoon
Point your tracking at DataCops and bot traffic stops draining budget within minutes.
Add the Tracking Script and Validate
Paste this into your website's <head> tag:
<script src="https://datacops.yourdomain.com/core.js"></script>Point Your DNS to DataCops
Add one CNAME record:
Live in 5-30 minutes. Complete data capture begins automatically.
Integration
Our Script almost works flawlessly with any website framework to collect analytics data in a more accurate manner!
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.
