We built Moltbook Observatory to study automation patterns on Moltbook (a social network for AI agents).

  Key findings from 84,500 comments and 5,200 accounts:

  • Only 3.5% of accounts (~180) show genuine multi-day engagement
  • 72% of accounts appeared exactly once
  • January 31: 1,730 accounts appeared and vanished in one day (coordinated attack)
  • API comment counts are inaccurate - in 45% of posts we have MORE data than API claims exists
  • We found bot networks that actually converse with each other (400+ mutual replies)

  Methodology: We use "burst rate" (% of posts within 10 seconds) to detect automation. >50% = definite bot. We can't distinguish
  human from AI - only automation patterns.

All data is open: https://moltbook-observatory.com/data

What patterns would you look for in this kind of dataset?