Thousands of SKUs, every competitor store
- Exact matches by UPC, model and supplier code
- Comparable products when they sell a different SKU
- Store-level price, promo and stock, hourly to weekly
- Index by competitor, category, brand and zone
Competitor price intelligence
Every competitor price, promo and stock level. Store by store.
Lightfeed reads the retailers, marketplaces and booking sites your customers compare you against, matches every listing to your products, and turns it into a price index, alerts and compliance checks your team acts on.
Live in days, not months
Matches you can correct, once
CSV, API and MCP for Claude
70+ retail banners across Canada and the United States, plus the marketplaces, delivery apps and booking sites that resell the same shelf.
Who it's for
Built for the teams that live on competitor prices
Same store-level reads, matching and history. Different questions.
Your brand and your rivals', retailer by retailer
- Whole categories across department stores, beauty, pharmacy and marketplaces
- Shelf price against MAP, with the listing as evidence
- Price inflation over time, size-normalized
- Who carries you, who carries the competition
Fares by fare family, down to the seat fee
- Basic, Standard and Flex on every route and date
- Seat and bag fees read from the booking flow
- Alerts when a competitor moves a fare or a fee
- History per route and booking window
Promo codes, validated automatically
- Newsletter and SMS codes captured and tested
- Brand exclusions checked in the cart, not the fine print
- Brands breaking their own MAP, caught the same day
- Promo calendar per competitor
Who really sells your product on Amazon
- Featured Offer (Buy Box) seller and price, every run
- Unauthorized resellers below MAP, found automatically
- Price and stock at the retailers that carry you
- What panels miss: third-party sellers, today’s shelf
Your shelf against the banners and the apps
- Competitor banners store by store
- Instacart, DoorDash and Uber Eats next to the shelf price
- KVI index, promo start and end, out of stock
- Assortment gaps by category
How it works
From a product file to a price index in days
Send the catalog you already have. Review only what the machines could not decide.
1
Send your product file
Item codes, UPCs, descriptions, supplier codes, your shelf price. CSV or API. Pack sizes are read from the description.
2
We find it at every competitor
Exact listing by UPC, model or supplier code. Otherwise up to three comparables with a quantity ratio, judged by AI from the images and specs. Only uncertain pairs reach your reviewer.
3
We read it on your schedule
Hourly, daily or weekly, store by store: price, promotion and its end date, stock on hand, seller.
4
You act on it
Index per competitor, category and brand. What changed since last run. MAP and promo compliance. Assortment gaps. In the app, as CSV, by API, or by asking Claude.
What you stop paying for
One subscription instead of a data team
Pricing teams end up funding scrapers, proxies and a matching spreadsheet before they see a single index. Lightfeed replaces all three.
No scrapers to build or babysit
Retailers redesign their sites without notice. Our extraction profiles notice and repair themselves, so nobody on your team writes or fixes a scraper.
No proxy or scraping-API bills
Bot protection, residential proxies and page credits are inside the price. A hundred stores cost about the same as five.
No matching spreadsheet
UPCs, model codes and comparables are resolved by the pipeline. Your analyst reviews only the pairs it is unsure about, and those decisions stick.
What a first run looks like
One 42-SKU beauty catalog, 12 US stores, one morning
Nothing modelled, nothing sampled. Every number traces to a matched listing.
71%
of SKUs were priced differently by store
327 of 460 items on the shelf at all three Target stores. A national feed gives you one number; there were three, and Los Angeles, not New York, was the expensive one.
Neutrogena Hydro Boost · $22.49 Chelsea · $19.99 Streeterville · $25.49 Westwood
4,103
listings captured from 42 tracked SKUs
Their whole assortment across 12 stores, 283 matched like for like. Prestige brands were absent from the mass retailers and vice versa, which is the coverage story a merchandiser wants.
Target ×3 · CVS ×3 · Walmart · Walgreens · Amazon · Sephora · Ulta · Macy's
519
of 897 match decisions rejected, each with its reason
“Listing B is a promotional bundle that includes a serum sample alongside the 1.7 oz cream.” 27 uncertain pairs went to a person, and those decisions stick for every future run.
Identifiers first · model verification second · a human only when unsure
Compare
What panels, URL trackers and enterprise suites leave out
Panels say what sold, after the fact. URL trackers watch one online price per link. Enterprise suites take a year and a five-figure contract. Lightfeed sits in the gap.
| Syndicated panels Circana, NielsenIQ | URL price trackers Prisync, Price2Spy | Enterprise suites DataWeave, Competera | Lightfeed | |
|---|---|---|---|---|
| What you see | What sold, aggregated, weeks later | One online price per URL you paste | Store-level price, often with audits | Store-level price, promo, stock and seller, plus comparable products, today |
| Matching | Category and brand level | Manual, one URL at a time | Vendor-managed, slow to correct | Identifiers, then AI, then your reviewer; corrections persist |
| Third-party and reseller offers | Modelled or absent | Partial | Usually | Yes, with the listing and seller as evidence |
| Promo codes and exclusions | No | No | Rarely | Captured from email and SMS, validated in the cart |
| Fare families and seat fees | No | No | No | Yes, read from the booking flow |
| Ask it in Claude or ChatGPT | No | No | Rarely | Built-in MCP server |
| Price | Enterprise contract, category by category | $100 to $500 a month | $5,000+ a month, annual | $699 a month, enterprise when you need it |
| Time to first report | Quarters | Hours, then upkeep forever | Months | Days |
Platform
Everything a pricing team needs on a Monday morning
Price index
Per competitor, category, brand and zone. KVI-weighted, out-of-stock listings excluded and counted separately, shelf or member price as the basis.
What changed
Price up or down, promotion started or ended, out of stock, back in stock, new seller: since the last run, per competitor, with the previous value next to the new one.
Review queue
Every uncertain match with its evidence: images, size, model, how it was found. Confirm, reject, or paste the right URL. Decisions persist for every future run.
Compliance
MAP and promo compliance per retailer and seller, marketplace-sellers-only view, tolerance you set, exports your partner team can send as is.
Assortment gaps
What a competitor carries that you do not, what only you carry, brand and private-label share by category, for line reviews that look past your own four walls.
CSV, API and MCP
Review sheets and grids as CSV, a JSON API for your warehouse or BI tool, and an MCP server so Claude, ChatGPT or your own agent can ask for store-level answers in plain language.
Pricing
One plan. Then enterprise when you outgrow it.
No per-seat fees, no add-ons for API access, no surprise for screenshots. Pay for the products you track.
Most teams start here
Growth
Pricing and merchandising teams, brand revenue teams
$699USD / month
100,000 products a month
- Every connected retailer, marketplace and site; unlimited competitors and stores
- Exact and comparable matching with the review queue
- Schedules from hourly to monthly, in your time zone
- Index, changes, compliance and assortment views; CSV, API and MCP
- Unlimited users, email support, month to month
We run your first 50 products before you pay anything.
Enterprise
National retailers, multi-brand groups, airlines
Contact us
Volume past 100,000 products a month
- Custom connectors: a new retailer, marketplace or booking site in days
- Promo-code validation, fare-family and ancillary tracking
- Warehouse delivery (Snowflake, BigQuery, Power BI), SSO, private deployment
- Service levels, a named contact, quarterly matching audits
- Annual or multi-year terms, invoiced
Or book a call.
A product is one of your items read at one competitor store on one run. 2,500 items at four competitor stores, refreshed weekly, is about 40,000 products a month. Full pricing details.
FAQ
Questions pricing teams ask first
What counts as a product?
One of your products read at one competitor store on one run. 2,500 products at four competitor stores, refreshed weekly, is about 40,000 products a month. Comparable products found for an item count as part of that item's read.
Which retailers and sites can Lightfeed read?
More than 70 retail banners across Canada and the United States have a dedicated connector, with store-level pricing wherever the retailer publishes it: RONA, Home Depot, Canadian Tire, Home Hardware, the Loblaw and Sobeys banners, Metro, Costco, Walmart, Target, Kroger, Amazon, Sephora, Ulta, Macy's, CVS, Walgreens, Best Buy, Sport Chek, MEC and more. Any other product page is read through its structured data or by an AI reader. A new connector for a retailer or booking site usually takes days.
How accurate is the matching?
Identifiers first: UPC, model number and supplier code, which make a match deterministic. Then brand, size and title. Then an AI judge that sees the listing's images and specification attributes. Only the pairs it is unsure about reach your reviewer, with the evidence attached, and every decision persists for all future runs. A guard sends any accepted match priced far from the rest back to review rather than into your index.
Can Lightfeed find comparable products when a competitor sells a different SKU?
Yes. When there is no identical listing, Lightfeed proposes up to three comparable products per competitor with a quantity ratio, so a 250-pack is compared to a 100-pack at the right coefficient. Your reviewer confirms or corrects them once; private-label and house brands are handled this way.
Does Lightfeed track airline fares?
Yes. Lightfeed reads competitor fares by fare family (Basic, Standard and Flex within Economy, for example) and the ancillaries behind them, including preferred and standard seat fees and checked bags, route by route and date by date, from the booking flow rather than a published fare feed.
How is the data delivered?
In the web app, as CSV and review-sheet exports, through a JSON API with the same workspace scoping, and as an MCP server you can connect to Claude, ChatGPT or your own agents. Enterprise plans add warehouse delivery.
How long does setup take?
Days. You send a product file with codes, UPCs and descriptions; the first matched run comes back within a day or two, you review the uncertain links, and the schedule starts from there. There is no onboarding project.
Where does the data come from, and is it allowed?
From public product pages and the public services behind them, read at a polite rate; nothing behind a login, no personal data. Our terms describe the practice in detail.
See your competitors' prices before Monday
Send us 50 products and three competitors. We run them, match them, and walk you through the result on a 30-minute call. No contract, no setup fee.
Book a 30-minute demoPrefer email? support@lightfeed.ai