MARKET RESEARCH

Multi-Agency Portfolio Change-Set Monitor

Watches a portfolio of rule pages across multiple agencies, detects which ones changed since last run, diffs only the movers.

CategoryMarket Research
Enginesim
Difficultyadvanced
Triggerschedule
Steps7
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule: scan portfolio on cadence
  • ActionScrape every watched rule URLFirecrawl
  • LogicDiff each vs. baseline; keep only movers
  • LogicRoute changed rule to owning team channel
  • ActionClassify materiality and draft change noteOpenAI
  • ActionUpdate baselinesPostgreSQLPostgres
  • OutputDeliver note to matched channelSlack

What it does

Monitors a whole portfolio of regulatory pages at once. Each run it fetches every watched URL, compares each against its stored baseline, and isolates only the pages that actually moved. For those, it diffs the text, decides materiality, and routes the alert to the owning team's Slack channel based on the rule's subject area — so banking changes hit the banking channel and privacy changes hit the privacy channel.

When to use it

Use it when you track dozens of rules spanning several agencies and several internal teams, and a single firehose channel would be ignored. Best for larger compliance functions that need targeted, owner-specific routing.

How it works

  1. 1A scheduled trigger fires on your cadence.
  2. 2Firecrawl scrapes each URL in the watched portfolio.
  3. 3The pipeline diffs every page against its Postgres baseline and keeps only changed pages.
  4. 4A routing logic step maps each changed rule to its subject area and owning channel.
  5. 5OpenAI classifies materiality and drafts a per-rule change note.
  6. 6Baselines are updated in Postgres.
  7. 7Slack delivers each note to the matched team channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FirecrawlCrawl, scrape, structured extract.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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