Price moves caught the day they happen:
not the week after
A distributor or competitor undercutting your price is invisible until a manager happens to check that specific listing, which usually means it has already been live for days by the time anyone notices. An agent checks prices continuously, flags real undercuts, and leaves the decision on how to respond to a person.
The process today
A price is only a competitive advantage if it stays true relative to everyone else selling the same or a similar product, and checking that by hand means someone opening a competitor’s listing or a distributor’s price list on some rough cadence, hoping to catch a change before it has cost real margin. Teams that are honest about this usually find the check happens weekly at best, often only when a sales number already looks off, which means an undercut can sit live for days before anyone on your side even knows it exists.
The second cost is false signal. Marketplace listings are messier than a clean price comparison assumes: a competitor’s lower number is often a bundle, a rental SKU, an out-of-stock listing still showing a price, or a different region’s pricing entirely. A manual check, done quickly under time pressure, tends to either miss these distinctions and react to noise, or spend so much time filtering them out that the check itself becomes the bottleneck.
The third cost shows up on your own side. A pricing rule that pushes prices down automatically to chase every signal, without checking it against your actual cost, risks a listing going live below break-even, which on a catalogue of hundreds or thousands of SKUs is not a hypothetical, it is a question of when, not if, a loss-making price gets sold before anyone notices.
What the agent does
The agent checks prices continuously across the marketplaces, distributors or competitor sites you set, and filters listing noise, bundles, rentals, out-of-stock variants, regional mismatches, before anything becomes an alert. This is the exact discipline behind the distributor monitor we built for two sports nutrition brands, described in the analytics hub case study, where the monitor caught 184 of 218 real price-undercut events with zero false alarms, a result we checked ourselves before trusting the system with live pricing decisions.
Every SKU keeps a price history, so a single undercut is read in the context of a trend rather than in isolation, and a weekly digest rolls up movement across your tracked catalogue for a pricing lead to review without checking every listing individually.
Where the scope includes letting the system adjust your own prices rather than just alert on competitors, a margin guard sits in front of any automatic change: it checks the change against your real cost and a break-even floor before anything goes live, the same guard we run on ProBay, our own digital goods marketplace, verified against 864 real orders in a verification round with zero orders sold below cost, and in a later round on live payment channels it removed zero of 2,222 products from an already-safe pricing pass, detailed in the ProBay case study. The guard can raise a price automatically toward a safe floor; lowering a price below it requires either a rule you set explicitly or a human decision.
What stays with humans
Any price reaction beyond a guarded automatic floor adjustment, matching a competitor’s price, running a promotion in response, deciding a competitor’s undercut is not worth matching at all, stays with your pricing lead. The agent never changes a live price unsupervised outside the narrow, pre-approved guard logic, and even that logic only ever protects margin, it does not chase a competitor down.
Guards
Noise filtering and undercut detection are tuned against a dry run of real pricing data before launch, the same process that got our own distributor monitor to zero false alarms across 218 real events. Any automatic price adjustment runs through a margin guard checked against real cost before it goes live, verified on 864 real orders on our own marketplace with zero sold below cost. Every price check and every alert is logged for audit, and a kill switch pauses monitoring or adjustment instantly if a source changes its structure or a guard needs tightening.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $650 | Price monitoring across one to two marketplaces or a distributor list, alerts only | 5 to 10 days |
| Department package | from $2,500 | Price monitoring plus competitor monitoring and a margin guard for automatic adjustments | 2 to 4 weeks |
Running cost is usually $25 to $100 a month in model usage depending on catalogue size and check frequency, with a budget cap set before launch.
Related
Pairs directly with competitor monitoring for the fuller picture beyond price alone, and with dashboard commentary so pricing trends get a plain-language read alongside the raw alerts. Spreadsheet workflows covers the cleanup when pricing data arrives messy from a supplier feed. Part of automation of everything digital and built the way we build AI agents, including the two-brand analytics hub and ProBay, our own marketplace.
Tell us which listings or distributors you need watched, and we will send back a fixed price and a first alert sample: get in touch.
Tired of doing this by hand? We can take the whole routine off your team, not just this step: Routine takeover, from $400 →
FAQ
How much does price monitoring automation cost?
From $650 for monitoring across one to two marketplaces or a distributor list with weekly digests, live in 5 to 10 days. A setup with an automatic margin guard that can adjust your own listings within a safe floor usually runs $2,000 to $4,000.
How long before it is live?
5 to 10 days to connect the sources that matter and tune the noise filters (bundles, rentals, out-of-stock listings all look like price changes if you are not careful) so alerts flag real undercuts, not false positives.
Which tools does it connect to?
Marketplace listing pages, distributor price lists and competitor sites on the input side; Telegram, Slack or email for alerts, with your pricing system or a spreadsheet on the output side if an automatic adjustment is in scope.
What if the agent misreads a price or flags a false undercut?
Noise filtering is tuned against a dry run of real pricing data before launch specifically to avoid this: on our own two-brand analytics project, the distributor monitor caught 184 of 218 real undercut events with zero false alarms, verified before it was trusted with live alerts. Where the scope includes automatic adjustment, a margin guard checks cost before any change, the same guard we verified against 864 real orders on our own marketplace with zero orders sold below cost.
Is our pricing and cost data safe?
Your cost and margin data stays in your own pricing system and is never exposed in competitor-facing requests, which only read public listing pages. Keys and access stay yours and can be revoked at any time.