clari-hello-world

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Export your first Clari forecast and pipeline snapshot. Use when testing Clari API connectivity, pulling forecast data, or learning the export API structure. Trigger with phrases like "clari hello world", "clari first export", "clari test api", "clari forecast export".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# Clari Hello World ## Overview First API calls against Clari: list available forecasts, export a forecast snapshot, and check export job status. The Clari Export API is the primary integration point for getting forecast, quota, and CRM data out of Clari. ## Prerequisites - Completed `clari-install-auth` setup - `CLARI_API_KEY` environment variable set - At least one forecast configured in Clari ## Instructions ### Step 1: List Available Forecasts ```bash curl -s -H "apikey: ${CLARI_API_KEY}" \ https://api.clari.com/v4/export/forecast/list \ | jq '.forecasts[] | {forecastName, forecastId, timePeriods}' ``` ### Step 2: Export a Forecast ```python import requests import json import os import time api_key = os.environ["CLARI_API_KEY"] headers = {"apikey": api_key, "Content-Type": "text/plain"} # Replace with your forecast name from Step 1 forecast_name = "company_forecast" payload = json.dumps({ "timePeriod": "2026_Q1", "typesToExport": [ "forecast", "quota", "forecast_updated", "adjustment", "crm_total", "crm_closed" ], "currency": "USD", "schedule": "NONE", "includeHistorical": False, "exportFormat": "JSON" }) response = requests.post( f"https://api.clari.com/v4/export/forecast/{forecast_name}", headers=headers, data=payload, ) response.raise_for_status() job = response.json() print(f"Export job started: {job['jobId']}") print(f"Status: {job['status']}") ``` ### Step 3: C...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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