The Platform / Seller Investigation Registry

See the seller
ecosystem.
Know where risk moves.

IPSecure®'s Seller Investigation Registry combines proprietary seller, test purchase, supply chain, and authentication data into a relationship graph that surfaces actionable marketplace intelligence.

10MAmazon + Walmart sellers indexed
1000sConfirmed physical test purchase outcomes
4Proprietary intelligence layers combined
Intelligence unavailable anywhere else

Proprietary data in.
Actionable intel out.

SIR continuously joins marketplace activity with evidence from the physical world. The result is not another seller list—it is a living investigative system built to reveal relationships, quantify exposure, and direct the next action.

01

10M sellers

Amazon and Walmart seller identities, offers, listing footprints, and marketplace relationships.

02

Test purchase outcomes

Thousands of physical products with confirmed infringement, authentication, and violation outcomes.

03

Supply chain data

Client manufacturing, distribution, retail, and historical investigation intelligence.

04

Product authentication

Physical signatures, lot codes, packaging details, and expert product determinations.

MARKETPLACE RISK NETWORK ANALYSISIP EXPOSURE
QUANTIFIED IMPACTCONSUMER EXPOSURE
RECOVERY MODELRECLAIMABLE REVENUE
PRIORITIZED
RISK BY ASSOCIATIONCONFIRMED OUTCOME / GRAPHED
Brand and seller network with confirmed bad actors concentrated around shared marketplace listings
MAJOR BRAND GENERAL SELLER NEGATIVE TEST PURCHASE
The Seller Risk Core

One confirmed outcome.
A network of relationships.

When an enforcement produces a confirmed infringing outcome, that seller becomes a known bad actor inside SIR. From there, the registry measures the seller's recurring commercial overlap with every other seller operating across the same listings.

01
Listing overlap

Which product listings does the known bad actor repeatedly offer on?

02
Seller co-participation

Which other sellers repeatedly operate on those same listings?

03
Footprint persistence

How frequently, simultaneously, and sustainably do those footprints overlap?

This is not heuristic labeling. It is statistical co-participation within the same commercial surface area.

Measurable commercial overlap

Same listings.
Same time.
Quantified relationships.

If multiple sellers repeatedly sell on the same listings at the same time, they are operating within the same distribution network. SIR measures the frequency, duration, and density of that overlap so investigators can distinguish a momentary connection from a persistent relationship.

Persistent, not a snapshot

The signal
strengthens
over time.

A single moment can show proximity. Persistent monitoring establishes confidence. Every new hour of shared marketplace activity adds evidence to the relationship model and improves the quality of the next investigation.

T1
Overlap confidence

Repeated co-participation separates isolated contact from durable commercial relationships.

BUILDING
T2
Cluster definition

Seller groups sharpen as the registry captures more shared listings and concurrent activity.

SHARPENING
T3
Predictive power

The system becomes increasingly effective at identifying where known risk is likely to move next.

PREDICTIVE
Enforcement changes the network

Action creates separation.
Separation creates deterrence.

Brands that consistently enforce create visible containment zones around their marketplace presence. Seller clusters move away from enforced boundaries, exposing the measurable effect of sustained brand protection.

01
Definable containment

Clusters form around brands that initiate consistent enforcement actions.

02
Defensible impact

The graph makes deterrence visible and connects enforcement activity to marketplace health.

03
Catalog-wide movement

Sellers do not remain inside one boundary. Broader monitoring reveals where they continue operating elsewhere.

ENFORCEMENT-ACTIVE BRAND CONTAINMENT DETECTED
Seller graph showing distinct clusters and containment zones formed around enforcement-active brands
BRAND
CONTAINMENT ZONE
SELLER MOVEMENT
The entire seller ecosystem

See how your actions
change marketplace health.

The full SIR graph shows the marketplace as it actually operates: brands, general sellers, confirmed bad actors, and the relationships connecting them. Enforcement-active buyerAI customers develop cleaner, more separated networks while unprotected brands remain saturated with known risk.

MARKETPLACE RISK NETWORKFULL ECOSYSTEM VIEW
Large seller ecosystem graph showing protected and unprotected brand clusters, general sellers, and confirmed bad actors
BRAND GENERAL SELLER CONFIRMED BAD ACTOR
UNPROTECTED BRANDSHIGH BAD-ACTOR SATURATION
BUYERAI CUSTOMERACTIVE SUPPRESSION + SEPARATION

Representative anonymized SIR network. Each node and connection reflects marketplace activity and investigative evidence available within IPSecure.

From seller activity to investigative advantage

See the network.
Act on what it reveals.

Turn marketplace participation, physical evidence, and enforcement outcomes into a living intelligence system built around your brand.

Explore SIR ↗