Data methodology
A transparent overview of collection, normalization, aggregation, freshness controls, and delivery—without exposing private infrastructure or security material.
1 · Collect
Source snapshots are acquired and processed on a recurring schedule. Each snapshot contributes observations rather than replacing the entire historical picture.
Source availability and timing can vary, so freshness is represented as an observation property rather than a universal guarantee.
2 · Normalize
Hostnames are normalized, malformed values are rejected, and duplicate relationships are reduced. Public lookup responses are additionally cleaned before display.
3 · Aggregate
The storage model is organized so ordinary lookups and very large shared-hosting sets do not require the same retrieval path.
Large relationships can be delivered in chunks, supporting progressive processing instead of constructing one oversized payload.
4 · Deliver
The public preview returns a small safe sample. The licensed client can request broader results and filter them by the selected mode.
Rate controls, request signing, verification, and restricted database permissions protect the public gateway and production API.
Evaluate with your own workflow
Use the protected public preview, review the coverage principles, and test the complete workflow with a short Proof Pass.