AI AGENTS
Real-Time Undercut Alert When a Rival Drops a Price
A webhook-triggered agent re-checks a single competitor SKU on demand, compares it to your live price in Postgres.
How it runs
The automated pipeline, trigger to output.
- TriggerInbound webhook with competitor URL + SKUHTTP webhook
- ActionAgent reads competitor's live priceBrowserbase
- ActionFetch your price, cost, and floor from PostgresPostgres
- LogicAlert only if undercut exceeds guardrail and stays above floor
- OutputSend targeted undercut alert to SlackSlack
What it does
Gives you an on-demand, low-noise price check for one product at a time. When triggered, the agent visits the competitor's product page, reads the current price, looks up your matching SKU and floor price in Postgres, and decides whether the competitor has crossed your undercut guardrail. If and only if they have, it raises a Slack alert with the gap and a suggested matched price; otherwise it stays silent.
When to use it
Use it when a sales rep, a Slack slash command, or another system needs a fast "are we still competitive on this item right now?" answer, rather than waiting for the nightly sweep. Ideal for hot SKUs during a promo window.
How it works
- 1An inbound webhook arrives carrying a competitor URL and your SKU.
- 2The agent opens the page in Browserbase and extracts the displayed price.
- 3A Postgres read returns your current price, cost, and minimum floor.
- 4A logic gate fires only when the competitor price is below your price by more than the configured guardrail and stays above your floor.
- 5Slack receives a targeted undercut alert with the recommended match price.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect BrowserbaseHeadless browsers, sessions, replays.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
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Run this workflow in your colony.
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