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Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications, from desktop and mobile to IoT and connected environments.

  • Updated Oct 7, 2026
  • JavaScript

Kinetic Gain Protocol Suite: eleven open JSON specs for the answer-engine and agent era. Five core (AEO, Prompt Provenance, Agent Cards, AI Evidence, MCP Tool Cards), the EdTech trio (Tutor Cards, Student AI Disclosure, Classroom AI AUP), Clinical AI Disclosure, plus two cross-cutting cards (AI Incident, AI Procurement Decision).

  • Updated Sep 13, 2026
  • JavaScript

Hash-chained event schema + reference verifier for AI tool reads of student records. Bridges CEDS + Ed-Fi semantics to the Kinetic Gain audit-stream. Enforces tokenization, FERPA §99.32 logging consistency, COPPA school-as-agent invariants, Decision Card refs. EdTech-readiness scaffolding, not certification.

  • Updated Aug 10, 2026
  • JavaScript

AGPL-3.0 reference impl of student-data-access-audit-stream. Lincoln USD × VendorT MathBuddy v3.x trajectory. 2 invariants: FERPA basis enumeration (34 CFR Part 99) + COPPA verifiable parental consent must-precede-event for under-13 (16 CFR §312.4). Kinetic Gain Protocol Suite.

  • Updated Aug 10, 2026
  • JavaScript

Hash-chained per-state lifecycle record + reference verifier for EdTech AI products navigating 50 state student-data-privacy + state-AI-policy regimes (IL SOPPA, CA AB 1584+AB 2876, TX HB 18, NY ED Law 2-d, VA ChAIPA, CO SB 196, etc.). EdTech-readiness scaffolding, not certification.

  • Updated Aug 10, 2026
  • JavaScript

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