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Finta Webhooks Events

ASecurity

Automate Finta pipeline events with Zapier and email triggers. Use when setting up notifications for investor responses, automating follow-up reminders, or syncing events to other tools. Trigger with phrases like "finta automation", "finta notifications", "finta pipeline events", "finta zapier".

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  • Added September 12, 2026
businesspythonrustgoapiperformance

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  • api

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Scanned September 12, 2026

npx -y skills add aibot88/sec_skill_store --skill finta-webhooks-events --agent claude-code

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SKILL.md
---
name: finta-webhooks-events
description: |
  Automate Finta pipeline events with Zapier and email triggers.
  Use when setting up notifications for investor responses,
  automating follow-up reminders, or syncing events to other tools.
  Trigger with phrases like "finta automation", "finta notifications",
  "finta pipeline events", "finta zapier".
allowed-tools: Read, Write, Edit
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags: [saas, fundraising-crm, investor-management, finta]
compatible-with: claude-code
---

# Finta Webhooks & Events

## Overview

Finta supports event automation through its built-in automation rules and Zapier integration. Pipeline stage changes, investor replies, and deal room views can trigger external actions.

## Built-in Automation Rules

Configure in Settings > Automation:
- **Email reply detected** -> Move to next stage
- **Calendar meeting scheduled** -> Log and notify team
- **Deal room viewed** -> Send Slack notification
- **No response in X days** -> Create follow-up reminder

## Zapier Integration

Available triggers:
1. Pipeline stage changed
2. New investor added
3. Deal room accessed
4. Investor update sent

Example Zap: Finta stage change -> Slack message + Google Sheets row

## Custom Reminder System

```python
import pandas as pd
from datetime import datetime, timedelta

def get_followup_reminders(export_path: str, days: int = 5) -> list:
    df = pd.read_csv(export_path)
    df["Last Contact"] = pd.to_datetime(df["Last Contact"])
    cutoff = datetime.now() - timedelta(days=days)
    overdue = df[
        (df["Stage"].isin(["Reaching Out", "Follow-up"]))
        & (df["Last Contact"] < cutoff)
    ]
    return overdue[["Name", "Firm", "Email", "Last Contact", "Stage"]].to_dict("records")
```

## Resources

- [Finta Website](https://www.trustfinta.com)

## Next Steps

For performance, see `finta-performance-tuning`.

Files in this skill

  • SKILL.md1.9 KB
  • source.json846 B

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