Who uses BotShark

Investigators who need explainable signals — not opaque scores or engagement bait.

See a sample report

Every report says what we looked at, what we couldn't see, and how sure we are.

Journalists

Check whether a reply network or amplification pattern actually holds up before you put it in print.

For journalists ›

botshark.io/u/…Public

Reply burst after seed post
Near-identical phrasing ×4

Shareable report

Researchers

Exportable evidence and reproducible rules for academic platform-integrity studies.

For researchers ›

Precision86%

Recall71%

Illustrative — see methodology

Labelled cohort check

Platform integrity teams

Prioritise accounts for manual review with evidence-linked behavioural flags.

For platform teams ›

@acct_aHigh
@acct_bHigh
@acct_cMed
@acct_dLow

Review queue

OSINT analysts

Work a whole list of handles at once and watch scores move after the event you are tracking.

For OSINT ›

01@seed_0181
02@seed_0264
03@seed_0329

Batch shortlist

Brands & agencies

Vet influencer lists and campaign amplifiers for fake-follower and engagement-farm risk.

For brands ›

Followers

Risk ↑

Engagement

Farm-shaped

Creator screen

Crypto & Web3

Spot coordinated shill networks and reply farms around launches or governance votes.

For crypto & Web3 ›

Same phrasing · tight window

Coordination cue

BotShark is designed for people who will be asked “how do you know?” — and need to show the work. Start with a single handle, then grow into batch libraries and follower audits as the investigation expands.

Every audience page below spells out a typical workflow, what a report is good for, and what it is not. Pick the one that matches how you work.

Not sure where to start?

Try a free scan