LIVE — ROLLING 24-HOUR EVIDENCE
AI Observatory - Who Has Actually Been Here?
This Observatory records qualifying search and AI-related machine retrieval activity that can be attributed to the Djarindjin website. The figures below show a filtered evidence view — not every automated request observed in the shared hosting logs.
Distinct autonomous crawler systems whose identities met the public corroboration threshold and whose activity could be attributed to Djarindjin during this rolling 24-hour period.
Successful qualifying GET retrievals of known Djarindjin HTML pages and substantive PDF documents.
Calculated from scored retrieval attempts against current registered public business resources. 2xx responses count as success, 4xx/5xx as failure, while 3xx redirects are retained as evidence but excluded from the rate.
Successful retrievals of deliberate machine-facing discovery resources such as robots.txt and recognised sitemap XML files.
The totals above are measured, site-attributable observations — not estimates. Scoring is limited to independently corroborated machine activity against current qualified Djarindjin resources. The table below shows the individual machine systems that currently satisfy the public evidence threshold.
MACHINES OBSERVED
Which Search & AI Crawlers Produced the Evidence?
Every qualifying autonomous system in the current rolling 24-hour window is shown below. The list changes as real crawler activity enters and leaves the window.
| Machine | Role | Site-attributed Accesses |
Business Retrievals |
Success Rate |
Discovery Retrievals |
|---|---|---|---|---|---|
| Loading current machine evidence… | |||||
A system appears when qualifying activity from it is observed inside the rolling 24-hour window and disappears again when that activity falls outside the window.
That is deliberate. A larger number is easy to produce; a defensible number is more useful.
Synthetic requests used to test the Observatory are excluded from public evidence.
User-triggered fetchers and diagnostic tools are excluded from the autonomous headline metrics.
A crawler name in a User-Agent is not enough. Off-edge headline evidence requires independent provider-network corroboration.
Assets, unclassified URLs and business paths not present in the current resource registry do not affect business retrieval metrics. Historical provenance labels are retained separately for audit continuity.
The Observatory measures observed HTTP retrieval outcomes for independently corroborated machine requests attributed to the Djarindjin site. Business rates score current registered public documents; discovery rates score approved current discovery resources. Retrieval evidence does not by itself prove that an AI system understood, indexed, stored, cited, recommended or endorsed the retrieved information.