SOCIAL MEDIA
Mention Spike Enriched with Exa News Context
When mentions spike, searches Exa for related news and external coverage to explain why, then delivers a combined social-plus-press evidence brief to Slack.
How it runs
The automated pipeline, trigger to output.
- TriggerEvery 30 minutes
- ActionCollect mentions and confirm spikeApify
- LogicExtract top phrases and entities
- ActionSearch related news and coverageExa
- LogicLink external sources to post clusters
- OutputPost root-cause brief to SlackSlack
What it does
Answers the first question comms always asks during a spike: why is this happening? It pairs the spiking social posts with a live Exa web search for related news and articles, so the alert arrives with root-cause context already attached.
When to use it
Use this when spikes are often driven by external events — a product launch, a news story, a competitor move — and you want the trigger explained, not just flagged. Saves comms from a frantic round of Googling.
How it works
- 1A schedule fires every 30 minutes.
- 2Apify collects recent mentions and the spike check confirms an above-baseline surge.
- 3The top recurring phrases and entities are extracted from the spiking posts.
- 4Exa runs a neural search on those phrases to surface related news, blog posts, and coverage from the last 24 hours.
- 5A logic step links each external source to the social cluster it likely caused.
- 6A combined brief — top posts plus the likely external trigger — is posted to Slack for assessment.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect ExaNeural search across the web.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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