> ## Documentation Index
> Fetch the complete documentation index at: https://docs.linquid.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Rate Limits and Query Budgeting

> Design client behavior to stay within limits and protect workspace-level reliability

# Rate Limits and Query Budgeting

## Principles

* Prefer batched reads over endpoint fan-out.
* Cache stable reads on your side where possible.
* Use backoff on `429` responses.
* Separate critical writes from opportunistic reads.

## Client controls

* request concurrency caps
* retry budget caps
* per-workspace request budget controls
* circuit breaker for persistent upstream errors

<Info>
  Budget your analytics and detail-page reads separately. Keep default dashboards fast and cached, and reserve higher-cost drilldowns for explicit operator actions.
</Info>

## Analytics budget guidance

Avoid running high-frequency polling across multiple tabs simultaneously. Prefer snapshot-style reads and explicit refresh actions for detail pages.

## Related

* `/developer/error-model-and-retries`
* `/help/analytics/read-workspace-campaign-and-link-analytics`