MARKET RESEARCH

Material 8-K Filing Alert with Plain-English Summary

Polls for new 8-K filings from your tracked tickers, classifies the material event.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntraday schedule polls every 30 minutes
  • ActionExa finds new 8-K filings for tracked tickersExa
  • ActionPerplexity classifies triggering item and impactPerplexityPerplexity
  • LogicBranch on materiality allowlist; drop low-signal filings
  • OutputPost material-event alert to Teams channelMicrosoft Teams
  • ActionLog event to Coda filings registerCodaCoda

What it does

Watches for newly filed 8-K current reports from the companies you track, identifies which item was triggered (executive departure, M&A, guidance revision, debt event, auditor change), and sends a concise plain-English alert. Routine or boilerplate 8-Ks are suppressed so you only hear about the ones that move a thesis.

When to use it

Use it when you need to react to disclosed material events the same day rather than discovering them in a quarterly review. Ideal for a small research team covering dozens of names where reading every filing isn't realistic.

How it works

  1. 1A schedule polls every 30 minutes during market hours.
  2. 2Exa searches the latest filings index for new 8-Ks on your tracked tickers.
  3. 3Perplexity reads each filing and classifies the triggering item and likely impact.
  4. 4A logic branch checks the classification against a materiality allowlist; low-signal items stop here.
  5. 5Material events get a formatted alert posted to a Microsoft Teams channel.
  6. 6The same event is logged to a Coda filings register for an auditable trail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  2. 2
    Connect PerplexitySearch-grounded answers with citations.
  3. 3
    Connect Microsoft TeamsChannels, chats, files.
  4. 4
    Connect CodaDocs, packs, automations.
  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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