clari-rate-limits

name	clari-rate-limits
description	Handle Clari API rate limits with backoff and export job scheduling. Use when hitting 429 errors, optimizing export frequency, or scheduling bulk forecast exports. Trigger with phrases like "clari rate limit", "clari 429", "clari throttle", "clari api limits".
allowed-tools	Read, Write, Edit
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","revenue-intelligence","forecasting","clari"]
compatible-with	claude-code

Clari Rate Limits

Overview

The Clari API enforces rate limits per API key. Export jobs are asynchronous and queued server-side, so the primary concern is polling frequency and concurrent export requests.

Rate Limit Behavior

Aspect	Value
Scope	Per API key
Response on limit	HTTP 429
Export job queue	Server-managed, async
Recommended polling	5-10 second intervals

Instructions

Exponential Backoff for Export Polling

import time
import requests

def poll_with_backoff(
    job_id: str,
    api_key: str,
    max_attempts: int = 60,
    base_delay: float = 5.0,
    max_delay: float = 60.0,
) -> dict:
    for attempt in range(max_attempts):
        resp = requests.get(
            f"https://api.clari.com/v4/export/jobs/{job_id}",
            headers={"apikey": api_key},
        )

        if resp.status_code == 429:
            retry_after = int(resp.headers.get("Retry-After", base_delay))
            time.sleep(retry_after)
            continue

        resp.raise_for_status()
        status = resp.json()

        if status["status"] in ("COMPLETED", "FAILED"):
            return status

        delay = min(base_delay * (1.5 ** attempt), max_delay)
        time.sleep(delay)

    raise TimeoutError(f"Job {job_id} did not complete in {max_attempts} attempts")

Sequential Export Scheduler

def export_all_periods(
    client,
    forecast_name: str,
    periods: list[str],
    delay_between: float = 10.0,
) -> list[dict]:
    results = []
    for period in periods:
        print(f"Exporting {period}...")
        job = client.export_forecast(forecast_name, period)
        result = poll_with_backoff(job["jobId"], client.config.api_key)
        results.append(result)
        time.sleep(delay_between)  # Avoid hitting rate limits
    return results

Error Handling

Scenario	Detection	Response
429 with Retry-After	Check header	Wait exact duration
429 without header	Status code only	Backoff from 5s
Job queue full	Multiple pending jobs	Wait for completion before new exports

Resources

• Clari API Reference

Next Steps

For security configuration, see clari-security-basics.