Clari Webhooks & Events

Overview

Clari does not provide real-time webhooks. Instead, build change detection by comparing periodic exports. This skill covers scheduled export diffing, Slack alerts for forecast movements, and Copilot webhook integration.

Instructions

Step 1: Forecast Change Detection Pipeline

# forecast_monitor.py
import json
from pathlib import Path
from datetime import datetime

def detect_changes(
    current: list[dict],
    previous: list[dict],
    threshold_pct: float = 10.0,
) -> list[dict]:
    prev_map = {e["ownerEmail"]: e for e in previous}
    changes = []

    for entry in current:
        prev = prev_map.get(entry["ownerEmail"])
        if not prev:
            continue

        prev_fc = prev["forecastAmount"]
        curr_fc = entry["forecastAmount"]
        if prev_fc == 0:
            continue

        change_pct = ((curr_fc - prev_fc) / prev_fc) * 100
        if abs(change_pct) >= threshold_pct:
            changes.append({
                "rep": entry["ownerName"],
                "previous": prev_fc,
                "current": curr_fc,
                "change_pct": round(change_pct, 1),
                "direction": "increased" if change_pct > 0 else "decreased",
                "detected_at": datetime.utcnow().isoformat(),
            })

    return sorted(changes, key=lambda x: abs(x["change_pct"]), reverse=True)

def save_snapshot(entries: list[dict], path: str = "data/latest.json"):
    Path(path).parent.mkdir(exist_ok=True)
    with open(path, "w") as f:
        json.dump(entries, f)

def load_snapshot(path: str = "data/latest.json") -> list[dict]:
    try:
        with open(path) as f:
            return json.load(f)
    except FileNotFoundError:
        return []

Step 2: Slack Alert for Forecast Changes

import requests

def send_forecast_alert(changes: list[dict], slack_webhook: str):
    if not changes:
        return

    blocks = [f"*Clari Forecast Changes Detected*\n"]
    for c in changes[:10]:
        emoji = ":chart_with_upwards_trend:" if c["direction"] == "increased" else ":chart_with_downwards_trend:"
        blocks.append(
            f"{emoji} *{c['rep']}*: ${c['previous']:,.0f} -> ${c['current']:,.0f} "
            f"({c['change_pct']:+.1f}%)"
        )

    requests.post(slack_webhook, json={"text": "\n".join(blocks)})

Step 3: Scheduled Monitor (Cron)

#!/bin/bash
# Run every 4 hours: 0 */4 * * * /path/to/clari-monitor.sh
cd /opt/clari-integration
python3 -c "
from clari_client import ClariClient
from forecast_monitor import detect_changes, save_snapshot, load_snapshot, send_forecast_alert
import os

client = ClariClient()
data = client.export_and_download('company_forecast', '2026_Q1')
current = data.get('entries', [])
previous = load_snapshot()

changes = detect_changes(current, previous)
if changes:
    send_forecast_alert(changes, os.environ['SLACK_WEBHOOK_URL'])
    print(f'Detected {len(changes)} changes')

save_snapshot(current)
"

Step 4: Copilot Webhook (Conversation Intelligence)

The Clari Copilot API supports real-time webhooks for call events:

# Register webhook with Copilot API
curl -X POST https://api.copilot.clari.com/v1/webhooks \
  -H "Authorization: Bearer ${COPILOT_ACCESS_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://your-app.com/webhooks/clari-copilot",
    "events": ["call.completed", "call.analyzed"]
  }'

Error Handling

Resources

• Clari Copilot API
• Clari Developer Portal

Next Steps

For performance optimization, see clari-performance-tuning.