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For fraud and risk analysts
See the control structure the filings reveal
Shell patterns and shared control hide in plain sight across thousands of separate filings. sneyk pulls the officer and registered-agent links into one picture, each one sourced, so the structure is visible instead of buried.
No card. Upgrade for the full graph and alerts.
- Officer and address link analysis
- Every datapoint sourced
- Free, no card
sneyk reconstructs ownership and control signals from public Florida business filings: officer co-occurrence, shared registered agents and addresses, entity status and velocity, each datapoint linked to its source filing. It is a link-analysis layer over open corporate records for fraud and risk work.
The pattern is across a thousand filings.
One officer on twenty entities. A registered agent shared by companies that should have nothing to do with each other. A cluster of shells at a single address, all formed the same week. Each filing looks ordinary on its own. The pattern only shows when you put them together, and putting a thousand filings together by hand is not a job.
sneyk surfaces the overlaps automatically: who controls what, what shares an address, which entities move in lockstep. Every link traces back to the filing it came from, so what you flag, you can prove.
How it works
- 1
Start from a name, entity, or address
Search any of the three and see what the filings connect it to.
- 2
Surface the overlaps
Co-officers, shared agents, shared addresses, and entity-formation velocity, drawn out of the public record.
- 3
Export with provenance
Pull the network as nodes and edges, each one sourced to a filing, for your case or your model.
Put it to work
Spot the shell cluster
A dozen entities at one address, formed in a tight window, sharing officers. sneyk surfaces the cluster so a pattern that took a week to find takes a search.
Find the common operator
The same person controlling entities that file against each other or move money between themselves. Officer co-occurrence makes the link obvious.
Watch for the next one
Set a watch on an officer or address and get alerted when a new entity attaches to it, so you catch the next shell as it forms, not after the loss.
Officer
co-occurrence mapped
67
Florida counties covered
Every link
sourced to a filing
Free
to start
What the analysis returns
control-graph.json
| Signal | Finding |
|---|---|
| Shared address | 6 entities at 88 Bayfront Plaza |
| Common officer | D. Vance on 14 entities |
| Shared agent | same agent on 9 of the 14 |
| Formation velocity | 5 entities in 30 days |
| Sourced | every edge links to a filing |
What you get
Officer co-occurrence
Who appears together across filings, the backbone of a shared-control picture.
Shared-address and agent clusters
Entities tied by a common address or registered agent, surfaced automatically.
Formation velocity
How fast entities attach to a name or address, an early signal of shell activity.
Nodes, edges, and alerts
Export the graph as structured data for your model, and get alerted when a watched node gains a new entity.
Before you sign up, the honest version
No surprises after you sign up. Here is what sneyk does not do.
- Florida business filings only
- Signals come from Florida corporate records. Other states and non-business data are not here.
- No phone, email, SSN, or financial data
- This is business-filing data: officers as listed, business addresses, agents, status. There are no contact details, identity numbers, or financials.
- Signals, not verdicts
- sneyk surfaces patterns. Whether a pattern is fraud is your analysis and your investigation, not a conclusion sneyk draws.
- Not a consumer report
- Entity-level research only. Never a basis for a credit, insurance, or employment decision under the FCRA.
- Public record, nothing added
- Every edge links to a filing. We never infer a connection the records do not show.
Start free. Upgrade when it earns it.
Start free
No card. Search and see the overlaps.
- 25 searches a month
- Officer co-occurrence links
- Up to 25 results per search
Founder pricing
Go Pro for the full graph and alerts
Founder pricing, locked for the first 100 subscribers.
- Unlimited searches, no cooldown
- Full link analysis and clusters
- Nodes-and-edges export with sources
- Monitoring alerts on watched nodes
Common questions
Where does the data come from?
Florida Department of State business filings (sunbiz.org). Every datapoint links back to a filing.
Do I get personal or financial data?
No. Officer names, business addresses, registered agents, and entity status, all from public filings. No contact details, identity numbers, or financials.
Does sneyk decide what is fraud?
No. It surfaces sourced patterns. The judgment is yours.
Can I export the graph?
Yes, on Pro, as nodes and edges with source links.
Make the structure visible
Start free, search a name, entity, or address, and see what the filings connect. Go Pro for the full graph and alerts.
No card. Upgrade for the full graph and alerts.
Public Florida business records, sourced from the Florida Department of State, Division of Corporations. Not a consumer report, and not for FCRA-covered eligibility decisions.