Data Collection, Classification & Publication Framework
Transparent documentation of Reverseau's data intake, processing, evaluation, and publication framework.
Applies to all publicly accessible Reverseau phone record pages.
Documentation last reviewed: March 2026Reverseau operates as a community-driven telecommunications safety intelligence platform. The methodology documentation below describes how data enters the system, how it is processed, and what it does — and does not — represent.
These pages are designed for transparency. They document the mechanics of our dataset so that users, researchers, and regulators can assess the scope and limitations of the information published on this platform.
Classification outcomes reflect aggregated community reporting signals within defined thresholds. Reverseau does not perform caller identity verification and does not make determinations of legal wrongdoing.
Data Processing & Evaluation Framework
Community Reporting & Processing Model
How Reverseau collects and processes community reports: anonymous submission, number normalisation, de-duplication, abuse screening, storage, aggregation and updates.
View Full Documentation →Reporting Signal Evaluation Framework
How Reverseau derives number classifications from community reports: consensus rules, volume effects, recency context, mixed signals and interpretation guidance.
View Full Documentation →Transparency & Data Integrity
How Reverseau maintains dataset integrity: moderation workflow, false-positive handling, correction requests, refresh frequency, retention and abuse safeguards.
View Full Documentation →Telecommunications Structure & Data Context
Number Classification System
Explains ACMA numbering allocations, service-type prefixes and why allocation metadata does not confirm caller identity, including portability and reallocation limits.
View Full Documentation →Data Sources & Cross-Referencing
Reverseau data sources: community-submitted reports and ACMA allocation records. Explains cross-referencing, enrichment, consistency checks and what we do not collect.
View Full Documentation →Data Limitations & Interpretation Boundaries
Limits of Reverseau's community-reported dataset: not verified, volume-dependent signals, allocation vs ownership, reallocation/spoofing risks and guidance.
View Full Documentation →- Applies to all published phone record pages within the Reverseau dataset
- Documentation is reviewed and updated periodically as platform processes evolve
- Covers data collection, processing, classification, and publication methodology