Check every competitor’s price for your products today

Every seller of your products on Google Shopping and Amazon with today’s price, competitors’ shipping and promotions read on their own pages, and the coupon codes in circulation.

Steps

At most, per call

A competitor price check lists who sells your products, at what price, with which shipping and promotions. With Agentik, your AI searches Google Shopping and lists every seller and Amazon offer with DataForSEO, reads competitors’ product pages with Firecrawl, and searches coupon codes with Serper.

Step 1: Search Google Shopping
DataForSEO searches Google Shopping for your products; the results come back in a few minutes, and fetching them is free.
- Google Shopping product search taskDataForSEO · 1 search$0.003
- Google Shopping product search taskDataForSEO · the resultsFree
Step 2: List every seller
Every seller and price for five products, and the Amazon offers for three listings.
Step 3: Read competitors’ pages
Firecrawl reads competitors’ product pages for shipping costs and running promotions.
- Scrape a web page to markdownFirecrawl · 6 pages$0.02
Step 4: Find coupons
Serper searches Google for coupon and promo codes in circulation.
- Google web searchSerper · 3 searches$0.03
Step 5: Write the price table
Your AI writes the price table and says where you are too high or leave margin on the table.
Your agent does this part, with no tool call.

Cost of the example

At most $0.11one run

One product search in the United States, 5 products’ sellers, 3 Amazon offers, 6 competitor pages read, 3 coupon searches.

Give this to your agent

Use my connected Agentik MCP server for this job: competitor price check.

Check competitors’ prices for my products. First ask me for my products, my prices, my country and three competitors.

Search Google Shopping with dataforseo/google-shopping-products-task, then list every seller and price for five products with dataforseo/merchant-google-sellers. Read Amazon offers with dataforseo/amazon-sellers. Read competitors’ product pages for shipping and promotions with firecrawl/scrape. Search for active coupon codes with serper/search.

Finish with a price table (product, my price, lowest price, who, shipping, promotion) and where I am too high or leave money on the table.

Before running anything, inspect each tool with inspect_tool, ask me for any input you don’t have instead of inventing it, and tell me the total price. Wait for my go. At the end, tell me what Agentik charged.

3 providers, one connection

What you get

A price table with recommendations.

You provide

Your products and prices
Country
Three competitors

Your agent returns

Every seller’s price per product
Shipping and promotions on competitors’ pages
Coupons in circulation
Where to move your prices

PricesExample layout

Product	Seller	Shipping
Stick vacuum A	Retailer X	Free
Stick vacuum B	Amazon	Paid
Filter pack	Competitor A	Free over a minimum

Placeholders. Your rows come from your run.

Each provider does one part

No single provider covers this job. Your agent calls each one for its part, from one connection.

Good to know

Google Shopping tasks return results in a few minutes; your agent fetches them when ready, free.
Prices change during the day; the table is dated.

When to use something else

For automatic repricing every hour, use a repricing tool. This playbook checks the market when you need to decide.

Questions

How fresh are the prices?

They are fetched when you run the playbook, and the table is dated. Prices move during the day.

Can it reprice for me?

No. It checks the market when you decide; automatic repricing needs a repricing tool.

What does the example cost?

At most $0.11, reserved before each call and settled at the measured usage.

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