AI marketplace detection OS

See what sellers are really saying.

Marketplace Monitor detects illicit marketplace activity across classifieds, social platforms, and Telegram - revealing slang, image evasion, hidden seller patterns, and cross-platform networks.

Request access See how it works

Continuous scanning with analyst oversight. Built to turn listings into evidence, sellers into entities, and scattered posts into intelligence.

93% confidence
3 matched seller profiles
image reuse detected
10+
Platforms per market
91%
Average confidence
283M
Online users covered
1-3d
Platform-dependent scan delay
See-through detection

Ordinary listings. Hidden intent.

The interface should not simply show charts. It should show the core capability: an innocent-looking ad being translated into structured intelligence through language, visual, seller, and network signals.

Input

What the marketplace shows

A product photo, a short description, a location, a price, and a seller profile. Most monitoring tools stop at keywords.

Image evidencevisual
Semantic meaningAI
Seller networkentity
same imagematched handlelocation cluster
From listing to intelligence

Dismantle the ad.

As the system reviews a listing, it separates surface content from hidden signals: image evidence, text signals, semantic intent, seller identity, network behavior, and the final archive record.

Ploom Aura - Limited EditionOriginal ad

Facebook Marketplace - Brno
"Sealed, new, discreet pickup. More pieces available."

Price320 CZK
SellerM.K.
Image evidence
Text and slang3 signals

The copy avoids explicit wording, but contains resale and transaction signals.

sealeddiscreet pickupmore pieces
Semantic interpretationAI layer

The listing contains probable resale intent, bulk availability, and discreet transaction language. The system converts vague ad copy into an intelligence classification.

Intent classSuspicious
CategoryResale
Risk assessmentHigh
93%

Confidence rises because text, visual, and seller signals reinforce one another.

Seller entityResolved
Matched listings3
Phone fragments2
Image hash reuse1
Active regionBrno + Olomouc
Archived intelligence recordReady for review

Risk: High - Confidence: 93% - Platform: Facebook Marketplace - Location: Brno - Seller network: 7 connected entities - Evidence: image, copy, timestamp, location, and seller metadata.

Dashboard cockpit

From hidden signals to operational intelligence.

The dashboard turns flagged listings into an analyst workflow: triage, map, archive, explain, and connect seller behavior across platforms.

marketplace-monitor - intelligence-console - all-marketsScanning
5,078
Total listings
256
Flagged
91%
Avg confidence
5.0%
Detection rate

Detection timeline

Last 60 days

Listing locations

CEE market

Detection feed

50%+ confidence
96%
Bazos.cz - PragueSlang + bulk supply signal + DM evasion.
classifieds
High
93%
Facebook Marketplace - BrnoImage-text mismatch and repeated seller pattern.
social
High
89%
Telegram channelCommerce trigger and bot-like posting cadence.
telegram
Medium
Search audit147 terms tracked
Seller graph7 connected entities
ArchiveEvidence preserved
Feedback loopLearning phase active
How detection works

Built for how sellers actually evade.

The system looks at the full environment around a listing, not a single field. That is what makes it useful for analyst review and long-term intelligence.

01

Semantic understanding

Detects meaning, slang, code words, spelling changes, and evasive phrasing instead of relying on exact keyword matches.

02

Visual cross-check

Compares listing images with text to detect mismatch, suspicious product objects, reused visuals, and brand-visible evidence.

03

Seller intelligence

Connects repeated sellers, phone fragments, reused images, locations, accounts, and cross-platform behavior.

04

Learning loop

Improves through analyst feedback, newly discovered slang, local context, and platform-specific patterns.

Platform coverage

Global, regional, and local marketplace visibility.

Coverage can start focused and expand across markets as the system learns local language, seller behavior, and platform-specific mechanics.

Global

Facebook MarketplaceTelegram

Regional

AllegroOLXVintedSmailAds

Local

Bazos.czSbazar.czAukro.czHyperinzerceOkazii.roBazar.bgAlo.bgList.amProm.uaAvito.ruUnegui.mn+ more
Intelligence outputs

Every suspicious listing becomes evidence.

Flagged content is archived with the context analysts need: confidence, source, location, seller traces, AI explanation, and network links.

Archive

Preserved listing record with timestamp, source, image, copy, price, and location metadata.

Explanation

AI reason for flagging: slang, mismatch, commerce signal, seller behavior, or network association.

Entity profile

Seller-level profile connecting repeated names, accounts, phone fragments, image hashes, and regions.

Network map

Cross-platform view of connected listings, channels, identifiers, and repeated offender behavior.

Pricing logic

Three market tiers. One intelligence system.

Markets are grouped by online population and expected marketplace volume. The platform can begin with a focused test market, then expand across the region as connectors and language layers are added.

Tier 1 - Low

Small markets

Online population up to 3 million

Lower volume markets with a smaller number of local classified platforms and lighter data processing requirements.

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Tier 2 - Standard

Medium markets

3-8 million online users

Markets such as Hungary, Bulgaria, Serbia, or Slovakia, usually combining Facebook Marketplace, Telegram, and several local platforms.

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Tier 3 - High

Large markets

High single-digit or tens of millions online users

High-volume markets with larger regional platforms, more sellers, heavier scanning, and greater likelihood of bot-driven activity.

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Initial setup before monthly run

Platform build and regional configuration

Initial work covers scrapers, platform connectors, local language setup, Facebook Marketplace and Telegram handling, and dashboard regionalisation for global and per-market views.

Local, regional, and global platform connectors
Colloquial names, slang, payment, and delivery language
Global view plus per-market filtering and visualisation
Dashboard UI updates for broader regional coverage
Rollout phases

Launch focused. Improve with evidence.

The platform begins with targeted coverage and grows smarter with human refinement, new platform connectors, and longer-term pattern analysis.

01

Launch and test run

Deploy scrapers, platform connectors, regional language setup, and dashboard access. Scanning runs with a delay of a few hours up to 1-3 days depending on platform and market.

2-3 months
02

Run and improve

Analyst feedback reduces noise, improves precision, and helps repeated sellers, organized attempts, and seasonal patterns emerge.

Learning phase
03

Expand intelligence

Add markets, add sources, automate triggers, map cross-border activity, and detect artificial or bot-driven posting patterns.

Growth
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Reveal what marketplace monitoring misses.

See how Marketplace Monitor turns listings into evidence, sellers into entities, and scattered posts into intelligence.