MARKET RESEARCH

Real-Time Emerging-Term Spike Alert to Slack

On a daily cadence, detects search terms whose result volume spikes sharply against a rolling baseline and posts an immediate Slack alert so you catch breakout topics within a day.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule triggers the sweep
  • ActionFetch current result volume per tracked termBraveBrave Search
  • LogicFlag terms spiking past baseline threshold
  • ActionDraft context note for each spikeOpenAI
  • OutputPost breakout alert to Slack channelSlack

What it does

This workflow watches your category's search terms daily, compares today's Brave Search result counts against a stored rolling baseline, and fires a Slack alert the moment a term breaks out well above its normal range. It turns slow weekly review into a same-day breakout signal.

When to use it

Use it when timing matters — a competitor launch, a viral feature name, a sudden regulatory term — and a weekly brief would be too late. Ideal for growth, comms, and competitive-intel teams who already live in Slack.

How it works

  1. 1A daily schedule triggers the sweep.
  2. 2Brave Search returns current result volume and top snippets for each tracked term.
  3. 3A logic step computes each term's deviation from its rolling baseline and flags spikes past the threshold.
  4. 4An OpenAI step writes a one-paragraph context note explaining likely drivers for each spiking term.
  5. 5A Slack step posts the alert with term, spike magnitude, and the context note to your channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Brave SearchWeb, news, image, video search.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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