agent hive

SUMMARIZATION

Earnings miss-only conditional alert with full brief

Scrapes a transcript on a webhook trigger, scores guidance vs actuals, and only when a material miss is detected, escalates a Slack alert plus a detailed Notion brief.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook with new transcript URLHTTP webhook
  • ActionScrape transcript to clean textFirecrawl
  • ActionExtract metric variances vs guidanceOpenAI
  • LogicBranch on material-miss threshold
  • ActionWrite full variance briefNotionNotion
  • OutputPost urgent miss alertSlack

What it does

Filters the noise. It analyzes an earnings transcript and only interrupts the finance lead when there's a material guidance miss worth their attention. Clean or in-line quarters are logged silently; misses beyond a set threshold trigger an urgent Slack ping linked to a full variance brief in Notion.

When to use it

Use when the team tracks many tickers and only wants to be pulled in on bad news. The conditional branch prevents alert fatigue while still archiving every quarter for the record.

How it works

  1. 1A webhook fires when an upstream IR monitor posts a new transcript URL.
  2. 2Firecrawl scrapes the transcript to clean text.
  3. 3OpenAI extracts each metric's guidance range, actual, and percentage variance.
  4. 4A logic step checks whether any metric misses guidance by more than the threshold.
  5. 5If no material miss, the run ends silently after archiving.
  6. 6If a miss is found, OpenAI writes a full variance brief to Notion and Slack posts an urgent alert linking it.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FirecrawlCrawl, scrape, structured extract.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Connect HTTP webhookTrigger any URL on agent actions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.