Reproducible behavioural analysis

BotShark is a transparent heuristic stack, not a closed classifier. That matters when a paper, dissertation, or lab note needs to say exactly what was measured.

What you get

• Rule-level explainability — which signals fired, in plain language, with linked public evidence where available

• Exports — JSON and PDF of a report you ran, plus a public `/u/handle` URL for supplements

• Calibration tables — precision/recall style checks on labelled cohorts (methodology)

• Batch + library workflows — paste seed sets, store handle lists, and re-open scored accounts for an event window

Typical study shapes

• Event studies around elections, product launches, or harassment campaigns

• Comparing scores across organic vs amplified account shortlists

• Auditing influencer or advocacy cohorts for automation density

• Teaching materials where students must show their work

Limits we want you to document

Public data only. Empty timelines understate recall. Score ≠ intent. There is no downloadable full rule YAML for outsiders — cite the public methodology page and the fired findings on each report. Please say which cohort you used if you quote calibration numbers.

Higher-volume or collaboration conversations start at contact — that is a conversation, not a packaged research dump. Journalists and mixed newsroom–lab teams should also see for journalists.