SOCIAL MEDIA

Mention Firehose Warehouse Logger

Continuously captures every brand mention with its sentiment score and writes a clean, structured row to Postgres so you can chart sentiment trends and share-of-voice over time.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEvery 15 minutes
  • ActionSearch for brand mentionsBraveBrave Search
  • LogicDe-duplicate by source URL
  • ActionLabel sentiment and topicOpenAI
  • LogicShape into row schema
  • OutputInsert row into PostgresPostgreSQLPostgres

What it does

This workflow is the system of record behind your social dashboards. It pulls every brand mention, scores sentiment and topic, normalizes the fields, and appends one row per mention to a Postgres table. Over weeks that table becomes your sentiment-trend and volume history.

When to use it

Use it when you need durable, queryable mention data — not just alerts. Pair it with the routing and escalation workflows, which handle the real-time reactions, while this one quietly builds the analytics backbone.

How it works

  1. 1A schedule fires every 15 minutes.
  2. 2Brave Search returns recent mentions across the configured queries.
  3. 3A logic step de-duplicates on the source URL to avoid double-counting.
  4. 4OpenAI labels each mention with sentiment, a topic tag, and a confidence score.
  5. 5A logic step shapes the data into the warehouse row schema.
  6. 6Postgres inserts each row into the mentions table for downstream BI and charts.

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 PostgresAny Postgres URL — query, write, migrate.
  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.

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