What AdGuardian Produces (and What It Doesn’t)
AdGuardian produces documentation and evidence derived from server-observed traffic events. It does not produce scores, rankings, or opaque trust metrics.
This page explains the outputs AdGuardian generates and clarifies what it intentionally does not produce.
What AdGuardian Produces
AdGuardian produces records that reflect what actually reached the advertiser’s infrastructure. These records are derived from observed traffic events rather than predictions or inferred intent.
AdGuardian outputs include:
- Raw traffic logs
- Event-level records with timestamps
- Session reconstruction artifacts
- Supporting documentation for review and analysis
These outputs are designed to support post-click analysis, auditing, and dispute resolution.
Evidence Rather Than Interpretation
AdGuardian focuses on preserving factual records rather than interpreting or summarizing activity into abstract metrics.
This approach allows analysts and reviewers to examine the underlying data directly rather than relying on a system-generated conclusion.
AdGuardian documents what happened. It does not assert why it happened.
What AdGuardian Does Not Produce
AdGuardian intentionally avoids generating outputs that obscure underlying activity or replace evidence with conclusions.
AdGuardian does not produce:
- Bot scores or risk scores
- Traffic quality rankings
- Opaque confidence metrics
- Proprietary trust ratings
- Black-box AI determinations
These outputs are avoided because they summarize activity without preserving the data required to verify or challenge the result.
Why Scores Are Avoided
Scores and rankings compress complex activity into a single value. While this can be convenient, it removes context and limits independent verification.
In auditing and dispute scenarios, scores are difficult to defend because the underlying assumptions are often inaccessible.
AdGuardian avoids scores in favor of records that can be independently reviewed, questioned, and reproduced.
Artifacts Designed for Review
The outputs produced by AdGuardian are intended to be reviewed by humans and systems outside of AdGuardian itself.
This includes use cases such as:
- Internal traffic analysis
- Third-party audits
- Billing reviews
- Dispute documentation
AdGuardian does not require trust in the system’s conclusions. It provides the materials needed for independent assessment.
Summary
AdGuardian produces traffic records and evidence artifacts derived from server-observed events.
It does not produce scores, rankings, or opaque trust metrics.
This evidence-first output model supports transparency, accountability, and post-click analysis without relying on black-box determinations.