An agent that pulls prices across the web daily via FreshCrawl, watching for your products priced below MAP, screenshots the evidence, and builds the enforcement email — brands use it to keep every channel honest.
For: BrandsWeb-wide↗ Evidence packs auto-built
The workflow
How the agent runs
1
Sweep the web daily
Your SKUs are searched across marketplaces and the open web; every public price is recorded with its seller.
2
Compare against MAP
Anything below your MAP price is a candidate violation — at or above is ignored, so the list stays signal-only.
3
Capture the evidence
Screenshot, URL, seller name, timestamp, and the price history — because listings change the moment someone complains.
4
Identify the seller
Storefront details are matched against your authorized list; unknown sellers are flagged as unauthorized, a different problem with a different letter.
5
Build the enforcement pack
One email per violator with the evidence attached and your policy language — you send, or your counsel does.
What it needs
Inputs & tools
Your catalogSKUs + MAP prices
Authorized listApproved sellers
SweepDaily, web-wide
EvidenceScreenshots + history
SendingHuman sends
Your time≈ 15 min/day
A brand found its hero product $12 under MAP on a marketplace storefront it didn't recognize. The pack showed 23 days of violations with timestamps — the listing was corrected the same day the email landed.
Run this agent yourself
⚡
1 · Get a FreshCrawl subscription
The agent runs on live marketplace data. FreshCrawl plans start free (1,000 credits), paid plans from $29/mo — every plan includes MCP access and an API key. freshcrawl.io →
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2 · Link the MCP to your LLM
In Claude or ChatGPT, add a custom FreshCrawl MCP connector — server crawl.onewally.com/mcp — and paste your FreshCrawl API key. Your LLM can now pull live offers, Buy Box history, and sales estimates itself.
📋
3 · Paste the prompt
Copy the prompt below into your LLM and name your store. The agent runs against the live data it can now reach — no code, no exports.
Copy the prompt
Starter prompt
Step 3 · Paste this into your LLM
# MAP Violation Hunter
Use the FreshCrawl MCP connected to this chat for all live marketplace data.
MY STORE (fill in once):
- Store name: [your store name]
- Seller ID or storefront URL: [paste it — the agent uses it to find your catalog]
- Marketplace: [Walmart US / Amazon US]
First, use the FreshCrawl MCP to look up my store, pull my catalog,
and work only on my listings. If you can't identify my store from
what I gave you, ask me for my storefront URL before anything else.
RUN SCHEDULE (set this where you run the prompt):
- Run this prompt: daily; report at 6:30 AM.
- If your LLM app supports scheduled/recurring tasks, set it there; otherwise re-paste the prompt on that cadence.
Search the web for each SKU on my list. Record every public price
and seller. Flag any price below my MAP for that SKU. For each
violation, capture a screenshot, the URL, the seller, and how many
days it has been below MAP. Mark sellers not on my authorized list
as UNAUTHORIZED. Return one enforcement pack per violator.
EXECUTION — READ CAREFULLY:
You build evidence packs only. I (or my counsel) send every enforcement message.
The prompt gets you the shape. The reliable version runs on live data through the MCP — that's steps 1 and 2 above.
Prices every lost Buy Box in dollars and ranks the fixes worst-first.
Questions sellers ask
What if the price is a coupon or bundle?
Those are flagged as 'review' rather than violations — the pack shows the full offer so you can judge before anyone gets a letter.
Does it contact violators?
No. It builds evidence packs; enforcement is your call, in your name.
Only marketplaces?
No — the sweep covers the open web: marketplaces, deal sites, and standalone stores.
Run this on your store.
Every agent here runs on live FreshCrawl data through the MCP. Start free, connect your LLM, paste the prompt — or get the free Buy Box Loss Report and see the data first.