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Limits

LimitValue
Requests per minute100 per API key
Max items per page100
Rate limits are enforced per API key. If you exceed the limit, you will receive a 429 Too Many Requests response.

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Rate-Limit Response

{
  "error": {
    "code": "rate_limited",
    "message": "Too many requests. Please retry after 60 seconds."
  }
}
The Retry-After header is included in 429 responses indicating how many seconds to wait before retrying.

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Handling Rate Limits

1

Detect the 429 status

Check for HTTP status 429 in every response before processing the body.
2

Read the Retry-After header

Wait the number of seconds specified in Retry-After before retrying.
3

Use exponential backoff

If Retry-After is not present, implement exponential backoff starting at 1 second.
4

Avoid polling loops

For high-frequency use cases, prefer webhooks over polling the signal feed. See Webhooks.

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Example: Retry with Backoff

import time
import requests

def fetch_signals(api_key: str, retries: int = 3) -> dict:
    headers = {"Authorization": f"Bearer {api_key}"}
    delay = 1

    for attempt in range(retries):
        response = requests.get(
            "https://app.getlima.ai/api/v1/signals",
            headers=headers
        )
        if response.status_code == 429:
            retry_after = int(response.headers.get("Retry-After", delay))
            time.sleep(retry_after)
            delay *= 2
            continue
        response.raise_for_status()
        return response.json()

    raise Exception("Exceeded retry limit")

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Pagination vs. Rate Limits

When paginating through large result sets, space out requests to stay within the 100 req/min limit. With limit=100 per page, you can safely fetch up to 100 pages per minute — more than enough for most use cases. See API Reference Overview for pagination details.