Rate Limits

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How Rate Limiting Works

HTTP 429 Too Many Requests

HTTP/1.1 429 Too Many Requests
Retry-After: 5
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 0
X-RateLimit-Reset: 1725200000

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Plan Limits

• Platform Pricing
• Enterprise Pricing

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Protocol Throughput Considerations

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Handling Rate Limits in Your Integration

import time
import requests

def api_request_with_retry(url, headers, payload, max_retries=5):
    for attempt in range(max_retries):
        response = requests.post(url, headers=headers, json=payload)

        if response.status_code == 429:
            retry_after = int(response.headers.get("Retry-After", 2 ** attempt))
            time.sleep(retry_after)
            continue

        return response

    raise Exception("Max retries exceeded")

• Always inspect the Retry-After header - use it instead of a fixed backoff value
• Add jitter to your backoff to avoid thundering herd behaviour when multiple clients hit the limit simultaneously
• Monitor X-RateLimit-Remaining to detect when you are approaching the limit and proactively slow down
• For high-volume batch operations, distribute requests over time rather than sending in bursts

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Development Environment Rate Limits

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Increasing Limits

1. Upgrade your plan - view plans
2. Contact enterprise sales - for custom throughput arrangements at [email protected]
3. Optimise your integration - review whether your call pattern can be batched or deferred to reduce peak request volume