Skopio vs Sherlock: Hosted Username OSINT with Confidence Scoring
Sherlock is the open-source CLI that put cross-platform username search on the map. Skopio takes the same approach but adds confidence scoring, breach-corpus correlation and a hosted runtime — no Python install required.
At a glance
Sherlock (the sherlock-project on GitHub) is a beloved open-source CLI tool that checks a username across hundreds of social and web platforms. For technical users it's free and effective. Its limitations: it returns raw hits without confidence scoring (so you don't know whether "john_smith on Reddit" is the same person as "john_smith on Strava" or just a name collision), it requires Python installed on your machine, and it doesn't correlate with breach corpora. Skopio runs the same kind of probes hosted, scores each match on a confidence scale (confirmed / likely / unlikely), and adds disclosed-breach signals. For non-technical users, journalists, and researchers who need confidence scoring rather than raw hits, Skopio's value is concrete.
Side-by-side feature comparison
Each row shows where each tool wins or ties.
Why people switch
Sherlock is the right tool if you're a CLI-first technical user, run username searches as part of a scripted workflow, and want everything open-source. Skopio is the right tool if you need confidence scoring (so you don't chase down false positives), want to run searches from your phone, or need breach-corpus correlation in the same query. Many investigators use both — Sherlock for scripted bulk runs, Skopio for the high-value individual queries where confidence matters.
Migration guide (5 steps)
- 1Pick a username you'd normally run in Sherlock.
- 2Run it through Skopio (web or Telegram bot).
- 3Compare the result — Skopio shows the same hits but ranked by confidence, plus breach correlation.
- 4If you're a casual user, Skopio replaces your Sherlock workflow entirely.
- 5If you're a power user with bulk needs, keep Sherlock for scripted runs and use Skopio for high-value individual lookups.
Frequently asked questions
Is Skopio just a hosted Sherlock?+
It's a hosted, scored, enriched version. The platform-probing approach is similar, but the output structure (confidence scoring + breach correlation + avatar fingerprinting) is materially different. Both tools serve the same use case from different angles.
Why isn't Skopio open-source?+
Our backend is proprietary because it integrates licensed data sources, paid threat-intel feeds and a confidence-scoring model that took meaningful R&D investment. Sherlock's open-source model works because it's pure web-probing with no licensed data.
How does the confidence score work?+
We combine username match (binary) with cross-platform avatar similarity, account-age signals, follower-network overlap and known-handle reuse patterns. Confirmed = username + at least 2 cross-signals match. Likely = username + 1 cross-signal. Unlikely = username only.
Can I trust Skopio's enriched results?+
Each result cites its source. The confidence score is a heuristic — not a guarantee. For investigations where a misidentification is costly (legal, journalistic), always corroborate with another method.
Is there a free way to use both?+
Yes. Sherlock is free (you run it). Skopio's first lookup every day is free. You can use both at zero cost for low-volume needs.
هل أنت جاهز للتبديل؟
Run username searches with confidence scoring — no Python install.