AI AGENTS
Weekly Competitor Pricing Digest Agent
Every Monday, crawls your tracked competitors' pricing pages, diffs them against last week's snapshot stored in Postgres, and posts a summarized digest of every change to Slack.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule (Monday 7am)
- ActionLoad tracked competitor URLs from PostgresPostgres
- ActionScrape each pricing page with FirecrawlFirecrawl
- ActionExtract normalized plans + prices (OpenAI)OpenAI
- LogicDiff vs. last snapshot, drop unchanged
- ActionSave new snapshots to PostgresPostgres
- OutputPost grouped digest to SlackSlack
What it does
This agent runs once a week, scrapes the pricing pages of every competitor you track, detects what changed since the previous run, and delivers a plain-English digest to your team in Slack. No more manually checking rival sites.
When to use it
Use it when you have a known set of competitor pricing URLs and want a reliable, low-noise weekly readout instead of ad-hoc spot checks. Ideal for product and revenue teams that revisit positioning on a regular cadence.
How it works
A weekly schedule fires the run. The agent pulls the competitor list from a Postgres table and uses Firecrawl to scrape each pricing page into clean markdown. An OpenAI step extracts a normalized structure (plan names, prices, billing terms) and compares it against the prior snapshot row. A logic step filters out pages with no material change. For competitors that did move, the agent writes the new snapshot back to Postgres and composes a digest grouped by competitor. The final step posts the formatted digest to a Slack channel, leading with the biggest price moves.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 2Connect FirecrawlCrawl, scrape, structured extract.
- 3Connect OpenAIModels, embeddings, files.
- 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
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.
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