Stock sentiment from social media — into tasks and alerts

On a stock query the scenario gathers social sentiment, AI assesses the risk and creates an GitHub task with an alert to pachca.

  • Social signals are gathered on their own
  • AI reads the sentiment and the risk
  • A ready GitHub task for each signal
  • An alert to pachca plus a separate error branch
WebhookMCP Client Tool
Set it upScriptera

How it works

To get pachca notifications in GitHub, you don't need a developer: a ready-made scenario watches events and sends messages for you.

  1. Starts when: Error Handler Trigger
  2. Then: Slack: Send Error Alert
  3. Starts when: Receive Stock Market Query Request (Webhook Trigger)
  4. Then: Extract Stock Market Query from Request Payload
  5. Then: Analyze Social Media for Stock Market Intent Signals (AI)
  6. Then: Transform Market Intent Signals into Ops-Ready Actions (AI)
  7. Then: Parse Structured Ops Payload from AI Output
  8. Then: Create Asana Task for Market Signal Review
  9. Then: Send Market Risk & Sentiment Alert to Slack
  10. Then: Social Intelligence Data Fetch Tool (MCP Client)
  11. Then: OpenAI Reasoning Engine for Market Intent Analysis
  12. Then: Azure OpenAI Reasoning Engine for Ops Structuring

You can launch this pachca + GitHub integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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