Solution
Every MAP violation, caught the moment a reseller posts it
Real-time price monitoring of every authorized and unauthorized seller carrying your brand. Violations detected within minutes, ranked by impact, ready for enforcement action.
MAP violations spread before reports catch them.
One reseller posts below MAP. Search engines pick it up. Comparison sites pull it. Your other resellers see it and feel pressure to match. By Monday morning, the price ladder you spent a year building is wobbling.
Manual MAP enforcement is a losing game.
Your team checks the top 10 sellers, daily. Violations on platforms 11 through 200 happen in the dark. Coupons and promotion stacks erode prices below MAP without changing the headline. Spreadsheets sent to legal arrive after the violation already affected the channel.
We monitor every seller, every channel, every effective price, against your MAP table.
Cycles as low as every 15 minutes. Coupon and promo-stack pricing computed. Violations ranked by severity and impact. Delivered structured, audit-ready, in your schema.
Violations the moment they happen
Detect MAP violations within minutes of a reseller posting below your floor. Coupon-stack and bundle-applied prices computed and checked alongside headline prices.
Every seller, authorized and not
Authorized dealers, marketplace sellers, third-party resellers, gray-market storefronts. Each tagged, each compared, each priced against your MAP table.
Audit-ready evidence trail
Every violation comes with timestamp, seller details, listing URL, screenshot, and price evidence. Ready to hand to legal, the brand portal, or the platform escalation team.
MAP is not enforced by policy. It is enforced by detection. The brand that finds a violation in 10 minutes and acts in 2 hours holds its price. The brand that finds it on Monday from a competitor's screenshot has already lost the channel for the quarter.
How it works
The extraction pipeline
From target spec to your warehouse, every MAP enforcement record passes through these stages. You see the output. We run everything in between.
Target spec
Brands, SKUs, MAP table, authorized seller list, channels, cadence, and schema locked from your pilot scope.
Source orchestration
Web, app, marketplace, and seller-storefront extraction across every channel in scope, in parallel.
Capture
Listing prices, coupon and promo-stack effective prices, seller identity, listing URL, capture screenshot.
Validation
Schema, range, deduplication, coupon-stack price computation, MAP-table comparison, violation severity scoring.
Delivery
CSV, JSON, REST, or direct push to your warehouse, in your spec. Optional violation-only alert feed in real time.
Coverage
Platforms we monitor
MAP enforcement runs against every platform where your brand is sold, authorized or not. The violators are rarely your top sellers, so detection has to span everywhere your brand can be listed.
Marketplaces
Shopee, Amazon, Flipkart, Walmart, Lazada, Tokopedia, eBay, Mercado Libre, Newegg. Mall/Preferred/regular sellers and price-ladder enforcement.
Specialty retailers
B&H, Adorama, vertical category retailers, gray-market storefronts
Quick commerce
Blinkit, Zepto, Swiggy Instamart, BigBasket reseller pricing
Authorized dealer storefronts and D2C
Your dealer network and direct-to-consumer pricing compliance
Search-engine shopping
Google Shopping, Bing Shopping merchant feeds and resold listings
Data landscape
The data we extract
Every price observation from every monitored seller, compared against your MAP table, tagged for violation severity, delivered on your cadence.
Listing
SKU ID, MPN/UPC, title, listing URL
Observed pricing
List, sale, coupon-applied, promo-stack, effective price, currency
Seller
Seller ID, name, type, authorized flag, country
MAP comparison
Your MAP, delta, violation flag, severity score, first-observed-below-MAP timestamp
Promotions
Applicable coupons, bundle, free-shipping, member-tier price
Evidence
Listing URL, capture screenshot URL, capture session ID, geo of capture
Sourcing
Platform, surface, market, capture timestamp
This is a representative sample of the data we extract. We customize every extraction to your exact requirements. If you need a data point not listed here, we will add it to your pipeline.
Sample output
What a single record looks like
This is a representative payload from a real MAP enforcement extraction job. Field names, schema, and delivery format are scoped to your spec at pilot time.
{
"extracted_at": "2026-05-07T18:42:11Z",
"platform": "amazon",
"surface": "web",
"market": "US",
"listing": {
"asin": "B0CHX1W1PY",
"mpn": "WH1000XM5",
"title": "Sony WH-1000XM5 Wireless Noise Cancelling Headphones",
"url": "https://www.amazon.com/dp/B0CHX1W1PY",
"matched_sku_id": "OUR-SKU-WH1000XM5"
},
"seller": {
"id": "AMZ-A2J9P3LWE7",
"name": "DealsExpressUSA",
"type": "marketplace",
"authorized": false,
"country": "US"
},
"observed_pricing": {
"list_price": 399.99,
"sale_price": 329.99,
"coupon_code": "SAVE20",
"coupon_value": 20.00,
"promo_stack": ["clip_coupon_5pct"],
"effective_price": 308.49,
"currency": "USD"
},
"map_comparison": {
"map_threshold": 349.99,
"delta": -41.50,
"delta_percent": -11.86,
"violation": true,
"severity": "high",
"first_observed_below_map_at": "2026-05-06T22:14:08Z"
},
"evidence": {
"screenshot_url": "https://evidence.clymin.io/2026-05-07/amzN-A2J9-snap-18421.png",
"capture_session_id": "sess-2026-05-07-18421",
"capture_geo": "US-CA"
}
}Schema
Field-level reference
Every record conforms to a stable schema. Your engineering team can integrate against this spec before the pilot starts.
extracted_atISO 8601UTC capture timestamp2026-05-07T18:42:11Zextracted_atISO 8601UTC capture timestamp
2026-05-07T18:42:11ZplatformstringSource platform nameamazonplatformstringSource platform name
amazonsurfaceenumweb, appwebsurfaceenumweb, app
webmarketISO-3166Market codeUSmarketISO-3166Market code
USlisting.asinstringSource-platform listing identifierB0CHX1W1PYlisting.asinstringSource-platform listing identifier
B0CHX1W1PYlisting.mpnstringManufacturer part numberWH1000XM5listing.mpnstringManufacturer part number
WH1000XM5listing.urlURLDirect listing URLhttps://www.amazon.com/dp/...listing.urlURLDirect listing URL
https://www.amazon.com/dp/...listing.matched_sku_idstringYour SKU mapped to this listingOUR-SKU-WH1000XM5listing.matched_sku_idstringYour SKU mapped to this listing
OUR-SKU-WH1000XM5seller.idstringSource-platform seller identifierAMZ-A2J9P3LWE7seller.idstringSource-platform seller identifier
AMZ-A2J9P3LWE7seller.typeenumauthorized, marketplace, third_party, gray_market, first_partymarketplaceseller.typeenumauthorized, marketplace, third_party, gray_market, first_party
marketplaceseller.authorizedbooleanResolved against your authorized seller listfalseseller.authorizedbooleanResolved against your authorized seller list
falseobserved_pricing.list_pricenumberPre-discount listing price399.99observed_pricing.list_pricenumberPre-discount listing price
399.99observed_pricing.sale_pricenumberActive selling price329.99observed_pricing.sale_pricenumberActive selling price
329.99observed_pricing.coupon_codestring / nullApplicable coupon codeSAVE20observed_pricing.coupon_codestring / nullApplicable coupon code
SAVE20observed_pricing.coupon_valuenumberCoupon value applied20.00observed_pricing.coupon_valuenumberCoupon value applied
20.00observed_pricing.promo_stackarray<string>Other promotional vehicles applied["clip_coupon_5pct"]observed_pricing.promo_stackarray<string>Other promotional vehicles applied
["clip_coupon_5pct"]observed_pricing.effective_pricenumberFinal price after all stacks308.49observed_pricing.effective_pricenumberFinal price after all stacks
308.49observed_pricing.currencyISO-4217Currency codeUSDobserved_pricing.currencyISO-4217Currency code
USDmap_comparison.map_thresholdnumberYour MAP for this SKU/market/channel349.99map_comparison.map_thresholdnumberYour MAP for this SKU/market/channel
349.99map_comparison.deltanumberEffective price minus MAP-41.50map_comparison.deltanumberEffective price minus MAP
-41.50map_comparison.delta_percentnumberDelta as percent of MAP-11.86map_comparison.delta_percentnumberDelta as percent of MAP
-11.86map_comparison.violationbooleanEffective price below MAPtruemap_comparison.violationbooleanEffective price below MAP
truemap_comparison.severityenumlow, medium, high, criticalhighmap_comparison.severityenumlow, medium, high, critical
highevidence.screenshot_urlURLHosted evidence screenshothttps://evidence.clymin.io/...evidence.screenshot_urlURLHosted evidence screenshot
https://evidence.clymin.io/...evidence.capture_session_idstringSession identifier for auditsess-2026-05-07-18421evidence.capture_session_idstringSession identifier for audit
sess-2026-05-07-18421Delivery formats
How you receive the data
You define the format. We handle the rest.
Use cases
How teams put MAP enforcement data to work
From pricing teams to category managers to operations leads, here are the most common ways MAP enforcement data drives decisions.
Brand managers, channel discipline
Defend your price ladder by detecting violations across every channel where your brand sells. Catch repeat offenders, escalate by impact, hold authorized dealer compliance high.
Channel and sales, distributor compliance
Track which authorized dealers slip below MAP and how often. Correlate with sell-through, regional pressure, and competitive moves. Have the data when the renegotiation conversation starts.
Brand legal, enforcement evidence
Every violation comes with timestamp, screenshot, listing URL, and seller details. Ready to attach to a cease-and-desist or platform escalation. Audit trail preserved per record.
Trade marketing, promo-stack control
Catch effective-price violations that hide behind coupon stacks and clip-the-coupon tactics. Know which promotional vehicles your channel is abusing to undercut MAP.
Operations, gray-market detection
Identify unauthorized sellers carrying your brand. Tag listings as authorized vs gray, prioritize by sales velocity, hand to legal for takedown.
Leadership, MAP scorecard
Weekly board-ready violation summary across brands, sellers, and platforms. Violation rate, repeat-offender list, channel health, recovery times.
Tech specs
What we run at scale
Every MAP enforcement engagement runs against these baseline specs. Your scope can move freshness, throughput, or geo coverage to whatever you need.
<10 min
p95 violation detection latency
10K+
Sellers monitored per brand engagement
99.9%
Pipeline uptime
20+
Channels and platforms covered
15 min
Minimum extraction cycle
99%+
Records passing validation
Challenges
Why map enforcement data extraction is hard
If extraction were easy, you would do it yourself. Here is why it is not.
Effective price is not the listing price
Sellers undercut MAP through coupon codes, clip-the-coupon mechanics, bundle pricing, member-tier discounts, free-shipping value, and gift cards. Computing the effective price requires understanding every promotional vehicle and applying it correctly. Most pipelines miss this entirely.
Sellers shift identity, ASIN, and listing constantly
A repeat offender takes their listing down the moment a violation is reported, then puts the same SKU back up under a new ASIN, new seller name, or new variant. Tracking the actual seller across listings requires identity resolution.
Authorized vs gray market is moving
Your dealer list changes monthly. New authorized sellers, terminated dealers, gray-market resellers buying through diversion. Keeping the authorized seller table accurate against live listings is its own data-engineering loop.
Audit-grade evidence has its own requirements
A timestamped record is not enough. Legal escalation needs the listing URL, the screenshot, the price observed, the coupon stacked, the geo, the session. Capture that does not stand up in audit is capture that does not enforce.
Same SKU, different MAP per geo and channel
MAP varies by region, by channel, by tier. The MAP table itself is multi-dimensional. Comparing observed prices against the right MAP entry requires comparison logic that most spreadsheet workflows skip.
Building it in-house costs more than the data
Engineers, proxy infrastructure, evidence storage, screenshot capture, identity resolution. Internal projects spend 6 to 12 months and end up missing the violations that hurt the channel most.
Why us
Why Clymin for map enforcement
We are not a tool. We are the team you call when the data matters too much to get wrong.
We solve what others can't
MAP enforcement at scale across every platform your brand sells on, with effective-price computation that includes coupons and promo stacks, audit-grade evidence captured per record, and authorized-vs-gray seller resolution kept current.
We prove it before you pay
Free pilot on your brands, your MAP table, your channels. Sample violation feed within 1 to 3 days. You evaluate the catch rate against your own enforcement workflow before any commitment.
You pay only for data delivered
Per record, no setup fees, no per-seller charges, no per-channel charges. One metric: cost per record. If we don't deliver, you don't pay.
Your identity stays protected
We do not display client logos or name-drop. MAP enforcement is sensitive. Your channel partners and competitors should never know which brand is watching.
100B+
Data points extracted
24/7
Pipeline uptime
Real-time
Data delivery
100K+
Points of interest covered
Proven at enterprise scale. We operate continuous competitive intelligence infrastructure for one of the world's largest quick commerce platforms.
Industries served
Who buys MAP enforcement data
The verticals where MAP enforcement extraction creates the most leverage.
Catch the next MAP violation in minutes, not Monday
Tell us your brands, your MAP table, your channels. Pilot violation feed in 1 to 3 days. No commitment.
FAQ
MAP Monitoring data extraction FAQ
Every channel where your brand can be listed: major marketplaces (Amazon, Flipkart, Walmart, Lazada, Shopee, Tokopedia, eBay, Mercado Libre, Newegg), specialty platforms (B&H, Adorama, vertical retailers), authorized dealer storefronts, D2C sites, search-engine shopping (Google Shopping, Bing Shopping), and any platform we are scoped to add during pilot.
p95 within 10 minutes of a violation appearing. Cycles as low as every 15 minutes. For high-priority SKUs, sub-cycle polling on flagged sellers.
Yes. Listing price, sale price, applicable coupons (clip-and-save, code-applied, member-tier), bundle adjustments, free-shipping value where measurable. Effective price is computed and compared against MAP, alongside the headline values.
We work from your authorized seller list, kept current per pilot scope. Authorized sellers are tagged, others are flagged as marketplace, third-party, or gray-market based on storefront signals. The list is mutable: add or remove sellers and the historic tagging stays consistent.
Per violation: listing URL, capture screenshot URL, observed price, applied coupon code if any, seller identity, capture timestamp, geo of capture, capture session ID. Audit-grade by default, structured for direct attachment to enforcement workflows.
Yes. Your MAP table can be multi-dimensional: per SKU, per region, per channel, per tier. Comparison logic applies the right MAP entry per record.
Yes. Optional alert feed delivered alongside the standard data feed. Webhook, email, or warehouse-row insertion, scoped by severity threshold.
CSV, JSON, REST API, or direct push to your data warehouse: BigQuery, Snowflake, Redshift, S3. You define the schema.
We extract publicly available listing data. Use of extracted data for MAP enforcement, including legal notices and platform escalations, is the customer's responsibility under their jurisdiction and contractual MAP policy.