Clustered 2 filings across 2 jurisdictions · filing window Jun 23, 2025 → Jun 30, 2025. View entity profile → Other incidents for this victim →
incident inc_f9f64d0c2cd84cb5 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
TX WA
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
May 5, 2025
Reported by WASHINGTON AG, TEXAS AG filings
The Mindfuel Foundation, a non-profit/charity sector entity reported a theft or mistake incident to the Washington Attorney General. The organization became aware of the incident on 2025-05-05 and filed notice on 2025-06-23. 1,205 Washington residents were affected. 49 days elapsed between awareness and notification. 54 days to identify the breach. 0 days to contain the breach.
Affected (this filing): 1,205
The MindFuel Foundation based in Calgary, OTHER, a nonprofit organization entity reported a data breach to the Texas Attorney General. The breach was discovered on 2025-05-05 and reported on 2025-06-30. 4,643 Texas residents were affected. 199,506 individuals affected in total. Types of information involved: Name of individual;Address;Other. Consumers were notified via Email.
Affected (this filing): 4,643
About this clustering
DisclosureLens links filings into incidents through layered matchers: deterministic rules (same source document, multistate filings of one breach, tight-window same-victim pairs), a weighted-similarity scorer for cross-source candidates, and an operator review queue for everything uncertain. Each link records its own method and confidence — shown per filing in the timeline below. The system defaults to NOT merging when uncertain, because a false merge (collapsing two unrelated breaches) is more harmful than a false split (showing related filings separately); uncertain pairs route to human review instead of auto-merging. Filing summaries shown in the timeline are AI-generated extracts — verify each against its linked source.