OSINT for Journalists: Verify Sources and Investigate
From whistleblower verification to fact-checking viral images — Skopio collapses hours of manual OSINT into one report, with every result citing its source.
Overview
Investigative journalism increasingly depends on open-source intelligence. Sources contact you from unknown numbers, anonymous tips arrive in encrypted email, viral photos demand verification before publication. Skopio aggregates 22+ legitimate OSINT sources in a single Telegram bot or web app — phone-to-name, email-to-breach, reverse-image, social cross-link. Every result cites where the data came from, so your editorial trail is defensible. Hashed queries protect both you and your sources.
Real-world scenarios
5 concrete situations and how Skopio solves each.
Whistleblower verification
An anonymous source contacts you from an unknown phone number with potentially explosive information. Verifying the identity before publication is mandatory.
Phone number → owner identification (where public), social cross-link, breach-history (account age signal). Confirms or denies the claimed identity in one report before you commit to the story.
Image fact-checking
A photo of an event is going viral. You need to confirm it's authentic and contemporary, not recycled from another year/conflict.
Reverse image search across 350+ sources surfaces every prior appearance with timestamps. EXIF metadata reveals camera, GPS, and edit history. Stock-photo flag if the image came from Shutterstock/iStock.
Source background research
Before publishing a quote from a self-described expert, you need to verify their professional history matches their claims.
Email or username lookup → linked LinkedIn / GitHub / publication record. Confirms or contradicts the claimed credentials with cited sources for your fact-check.
Document author identification
An anonymous document arrives via tip line. EXIF or metadata may reveal the author or original device.
Document-metadata category extracts EXIF / IPTC / XMP fields including author, software, GPS coordinates if present, and original timestamp.
Cross-platform investigation
A subject's social media presence spans VK, Telegram, X, LinkedIn — gathering it manually takes hours.
Username search across 350+ platforms with confidence scoring delivers the full social map in one query.
Time savings
Typical pre-Skopio investigation cycle: 4-6 hours per subject (manual phone search + LinkedIn + Sherlock + reverse image + breach checks). With Skopio: 5-15 minutes per subject. The freed-up time goes to actual storytelling and editorial review.
Skopio aggregates only publicly available data and disclosed breach corpora. We do not hack or bypass authentication. Outputs are for journalistic informational use only; corroborate findings with primary sources before publication, especially for any claim about a specific individual. EU-based and GDPR-compliant.
Frequently asked questions
Is using Skopio for journalism legal?+
Yes, when based on publicly available data — which is what Skopio aggregates. Use the results to inform your investigation; the editorial standards for publication remain yours to apply.
Will my queries leak to my subject?+
No. All lookups are server-side and passive. The subject receives no notification, SMS, or probe. We hash query values before storage; we cannot recover what you searched.
Can I cite Skopio in my story?+
Skopio is an aggregator — cite the underlying sources Skopio surfaces (e.g., 'according to public WHOIS records' or 'as disclosed in the LinkedIn 2021 breach corpus'). Treat Skopio like you'd treat a search engine: a starting point, not the final source.
Can a newsroom get an enterprise plan?+
Yes. Per-query enterprise API with custom rate limits, white-label reports, dedicated SLA. Pricing scales down to $0.07/query at high volumes. Contact via /support.
What if I need to find someone whose data is intentionally hidden?+
Skopio surfaces only publicly available information. If a subject has scrubbed their digital trail, we'll show what remains — sometimes that absence itself is a signal. We don't have access to private records, sealed court documents, or subscriber data.
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