MARKET RESEARCH

Earnings-Call Quote-Backed Slack Digest

When a transcript URL is dropped via webhook, scrapes it, extracts the top strategic statements with exact quotes, and posts a threaded digest to a Slack channel.

CategoryMarket Research
Enginesim
Difficultybeginner
Triggerwebhook
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives transcript URLHTTP webhook
  • ActionScrape transcript with FirecrawlFirecrawl
  • ActionExtract + rank top strategic quotes (OpenAI)OpenAI
  • LogicSplit headline vs. supporting quotes
  • OutputPost threaded digest to SlackSlack

What it does

Gives analysts an instant, quote-backed digest the moment a transcript becomes available. Drop a URL into the webhook, and the workflow scrapes the call, isolates the most strategically loaded statements, and posts them to Slack as a clean thread: headline takeaway up top, supporting verbatim quotes in replies.

When to use it

Use it during live earnings season when you want a fast, sharable read in the team channel right after a call posts, without waiting for the scheduled quarterly sweep. Good for trading-desk-style fast turnarounds and product teams reacting to a rival's announcement.

How it works

  1. 1An incoming webhook receives the transcript URL (from a bookmarklet, form, or another tool).
  2. 2Firecrawl scrapes the page into clean text.
  3. 3OpenAI ranks and extracts the top strategic statements, each with an exact quote and speaker attribution.
  4. 4A logic step routes high-signal items to the main message and the rest into thread replies.
  5. 5Slack posts the headline takeaway, then the supporting quotes as a thread.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  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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