Sycek OSINT

Sycek

Intelligence Platform

X Investigation — Twitter / X Intelligence

Investigate Any
X Account or Event

Deep Twitter/X intelligence for investigating accounts, posts, and networks. Bot detection, retweet cascade analysis, network graph mapping, and narrative tracking — all in a single investigation session.

500M+
Tweets/day indexed
14-signal
Bot detection model
10K nodes
Max network graph size
Real-time
Stream processing
Account Analysis

Full Profile Intelligence

Every account investigation starts with a complete profile enrichment — follower graph, posting cadence, language distribution, engagement authenticity, and bot probability from a 14-signal model.

@@handle12.4K followers890 followingjoined 2019Posting CadenceMon–Fri activityEngagement Rate4.2%avg. per tweetLanguage MixEN 58%HI 33%AR 9%3 languages detectedBot Score: 23LOW14-signal modelAccount IntelligenceFollower graph mappingPosting pattern anomaliesEngagement authenticity scoreGeo-language distributionAccount age vs activityBot probability: 0–100Coordinated behavior flags
Follower Graph
Map the full follower/following relationship network with cluster detection.
Posting Cadence
Detect anomalous burst patterns, scheduled posting behavior, and bot-like regularity.
Language Mix
Identify multi-language accounts and cross-region coordinated amplification.
Engagement Score
Measure authentic engagement rate against follower count to flag purchased followers.
Network Graph

Visualize the Network

Force-directed relationship graphs up to 10,000 nodes. Identify mutual follower clusters, detect potential sock puppet accounts, and map coordinated inauthentic behavior with visual cluster analysis.

  • First and second-degree follower/following mapping
  • Bot-suspected nodes flagged with risk rings
  • Sock puppet cluster detection via mutual follow analysis
  • Interaction weight — heavier lines = more retweets/replies
  • Export network as JSON or Gephi-compatible format
  • Temporal graph — see how the network grew over time
Sock puppet clusterBOT?BOT?BOT?TARGETUser node (size = followers)Bot suspected
Bot Detection

14-Signal Bot Probability Score

Our bot detection model weighs 14 independent signals — account age, follower ratio, posting rate, name entropy, profile completeness, network density, and more — into a single 0–100 probability score.

23/100 bot scoreLOW PROBABILITYLOWMEDHIGHSignal AnalysisAccount AgeLOWFollower RatioLOWPosting RateMEDName EntropyLOWProfile CompletenessLOWNetwork DensityMED
0–30
Low Bot Probability
Account exhibits primarily human behavioral patterns. Proceed with standard investigation.
30–65
Medium — Review
Mixed signals detected. Manual review recommended. Check posting schedule and follower quality.
65–100
High Bot Probability
Strong bot or automation indicators. Likely coordinated inauthentic behavior. Escalate for deeper review.
Root Tweett = 0:00Retweet+0mRetweet+4mRT (coordinated)+7mAMPLIFIEDQuote+2mQuote+9mQuote+5mQuote+11mQuote+8mQuote+8mNormal retweetCoordinated amplification
XEvent Investigation

Tweet Deep-Dive

Investigate a single post — trace its full retweet cascade, quote-tweet tree, and detect coordinated amplification. See exactly who retweeted within the first 60 seconds and identify inauthentic burst patterns.

  • Full retweet cascade with temporal spread visualization
  • Quote-tweet sentiment scoring per branch
  • Coordinated amplification detection — burst analysis
  • Account age of retweeters (detect bot farms)
  • Geographic spread of the cascade
  • Export cascade data as structured JSON
Narrative Tracking

Track How Narratives Spread

Monitor how a hashtag, keyword, or narrative propagates across the X network over time. Detect coordinated boosts, organic vs inorganic growth patterns, and origin accounts.

Coordinated boostDay 0Day 14Day 30Freq

Hashtag frequency timeline — spike indicates coordinated amplification event

  • Hashtag Frequency Timeline
    Plot tweet volume for any hashtag over a custom date range. Visual spikes signal coordinated injection events.
  • Origin Account Tracing
    Identify the first accounts to use a hashtag and trace how they are connected to each other.
  • Organic vs Inorganic Growth
    Distinguish natural adoption from artificial amplification using velocity and account-age analysis.
  • Cross-Platform Spread
    See when a narrative moves from X to Telegram, Reddit, or news media — with source linkage.
  • Influence Attribution
    Rank accounts by their contribution to narrative spread — not just follower count but cascade depth.

Everything You Need to Investigate X

A complete toolkit from account profiling to post-level cascade analysis.

Account Deep-Dive
Full profile enrichment: follower graph, cadence, language, engagement, anomalies, and bot score.
Bot Score 0–100
14-signal model: account age, follower ratio, posting rate, name entropy, network density, and more.
Network Graph
Force-directed graph of follower/following relationships. Cluster analysis, sock puppet detection.
Retweet Cascade
Visualize the full spread of any tweet — who amplified it, when, and how fast.
Quote-Tweet Analysis
Sentiment scoring of quote tweets per branch. Flag hostile or coordinated quote campaigns.
Narrative Timeline
Track hashtag frequency over time with coordinated boost detection and origin attribution.

Start Your X Investigation

From a username to a full network map and bot assessment in minutes. Sign up and run your first investigation free.