AI AGENTS
Instant Competitor Price-Drop Alert
Checks competitor pricing pages on a frequent schedule and fires an immediate PagerDuty-style Slack alert the moment a tracked plan drops below your defined threshold.
How it runs
The automated pipeline, trigger to output.
- TriggerFrequent schedule (every 2 hours)
- ActionScrape critical competitor plans (Firecrawl)Firecrawl
- ActionParse current plan prices (OpenAI)OpenAI
- LogicCompare price vs. per-plan threshold
- ActionOpen PagerDuty incident on threshold breachPagerDuty
- OutputPost urgent alert to deal-team SlackSlack
What it does
This agent watches a short list of high-priority competitor plans on a tight schedule and raises an urgent alert the instant a price falls past a threshold you set, so your team can react the same day instead of next week.
When to use it
Use it for the handful of head-to-head plans where a competitor undercut would directly threaten deals in flight. Pair it with the weekly digest agent: the digest covers everything broadly, this one covers your most contested SKUs in near real time.
How it works
A frequent schedule (for example every two hours) triggers the run. Firecrawl scrapes the specific pricing pages you flagged as critical. An OpenAI step parses the current price for each watched plan. A logic step compares each price against the per-plan threshold stored alongside the watchlist; if nothing crossed a threshold the run ends quietly. When a drop is detected, the agent opens a PagerDuty incident for on-call awareness and posts a tagged, high-urgency message to the deal-team Slack channel with the old and new prices.
Set it up
What you configure once, before turning it on.
- 1Connect FirecrawlCrawl, scrape, structured extract.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect PagerDutyIncidents, on-call, escalations.
- 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.
More AI Agents workflows
Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Datadog Bill Spike Attribution Agent
When a daily Datadog cost check detects a spend jump, an agent attributes the increase to the specific services and metric types driving it and posts a ranked breakdown to Slack.
Sentry-to-Confluence Runbook Updater
When a Sentry issue is resolved, the agent finds the matching Confluence runbook page and proposes an inline update with the verified fix.
Custom Metrics Cardinality Spike Pager
A webhook from a Datadog monitor fires when custom-metric cardinality jumps; an agent pinpoints the offending metric and tag, estimates the added cost.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
