'Implement Miro REST API v2 rate limiting with the credit-based system,
Scanned 9/2/2026
Install to Claude Code
npx -y skills add jeremylongshore/tons-of-skills-marketplace --skill miro-rate-limits --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: miro-rate-limits
description: 'Implement Miro REST API v2 rate limiting with the credit-based system,
exponential backoff, and request queuing.
Trigger with phrases like "miro rate limit", "miro throttling",
"miro 429", "miro retry", "miro backoff", "miro credits".
'
allowed-tools: Read, Write, Edit
version: 1.7.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- miro
- rate-limits
- performance
compatibility: Designed for Claude Code
---
# Miro Rate Limits
## Overview
Miro measures API usage in **credits**, not raw request counts. Each endpoint consumes a different number of credits based on complexity. The global limit is **100,000 credits per minute** per app.
## Prerequisites
Before applying this guide, confirm you have a Miro app or workspace appropriate to the task, a dedicated non-production board where changes can be tested safely, and only the OAuth scopes or administrative access the procedure requires.
## Credit System
### Rate Limit Levels
Each Miro REST API endpoint is assigned a rate limit level that determines its credit cost:
| Level | Credits per Call | Example Endpoints |
|-------|-----------------|-------------------|
| Level 1 | Lower cost | GET single board, GET single item |
| Level 2 | Medium cost | POST create sticky note, POST create shape, POST create connector |
| Level 3 | Higher cost | Batch operations, complex queries |
| Level 4 | Highest cost | Export, bulk data operations |
The exact credit cost per level is subject to change. Monitor via response headers.
### Rate Limit Response Headers
Every Miro API response includes these headers:
| Header | Description | Example |
|--------|-------------|---------|
| `X-RateLimit-Limit` | Total credits allocated per minute | `100000` |
| `X-RateLimit-Remaining` | Credits remaining in current window | `99850` |
| `X-RateLimit-Reset` | Unix timestamp when window resets | `1700000060` |
When rate limited, the response also includes:
| Header | Description | Example |
|--------|-------------|---------|
| `Retry-After` | Seconds to wait before retrying | `30` |
## Exponential Backoff with Jitter
```typescript
interface BackoffConfig {
maxRetries: number;
baseDelayMs: number;
maxDelayMs: number;
jitterMs: number;
}
const DEFAULT_BACKOFF: BackoffConfig = {
maxRetries: 5,
baseDelayMs: 1000,
maxDelayMs: 32000,
jitterMs: 500,
};
async function withBackoff<T>(
operation: () => Promise<Response>,
config = DEFAULT_BACKOFF
): Promise<T> {
for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
const response = await operation();
if (response.ok) {
return response.json();
}
// Only retry on 429 and 5xx
if (response.status !== 429 && response.status < 500) {
const error = await response.json().catch(() => ({}));
throw new Error(`Miro API ${response.status}: ${error.message ?? 'Request failed'}`);
}
if (attempt === config.maxRetries) {
throw new Error(`Miro API: Max retries (${config.maxRetries}) exceeded`);
}
// Prefer Retry-After header if available
const retryAfter = response.headers.get('Retry-After');
let delay: number;
if (retryAfter) {
delay = parseInt(retryAfter, 10) * 1000;
} else {
// Exponential backoff with jitter
const exponential = config.baseDelayMs * Math.pow(2, attempt);
const jitter = Math.random() * config.jitterMs;
delay = Math.min(exponential + jitter, config.maxDelayMs);
}
console.warn(
`[Miro] ${response.status} — retry ${attempt + 1}/${config.maxRetries} in ${delay}ms`
);
await new Promise(r => setTimeout(r, delay));
}
throw new Error('Unreachable');
}
// Usage
const board = await withBackoff<MiroBoard>(() =>
fetch('https://api.miro.com/v2/boards', {
headers: { 'Authorization': `Bearer ${token}` },
})
);
```
## Rate Limit Monitor
```typescript
class MiroRateLimitMonitor {
private remaining = 100000;
private resetAt = 0;
private windowCreditsUsed = 0;
/** Call after every API response */
updateFromResponse(response: Response): void {
const limit = response.headers.get('X-RateLimit-Limit');
const remaining = response.headers.get('X-RateLimit-Remaining');
const reset = response.headers.get('X-RateLimit-Reset');
if (remaining) this.remaining = parseInt(remaining, 10);
if (reset) this.resetAt = parseInt(reset, 10) * 1000;
if (limit) {
this.windowCreditsUsed = parseInt(limit, 10) - this.remaining;
}
}
/** Check before making a request */
shouldThrottle(): boolean {
return this.remaining < 1000 && Date.now() < this.resetAt;
}
/** How long to wait before next request */
getWaitMs(): number {
if (!this.shouldThrottle()) return 0;
return Math.max(0, this.resetAt - Date.now());
}
getStatus(): { remaining: number; usedPercent: number; resetsIn: number } {
return {
remaining: this.remaining,
usedPercent: Math.round((this.windowCreditsUsed / 100000) * 100),
resetsIn: Math.max(0, this.resetAt - Date.now()),
};
}
}
```
## Request Queue (p-queue)
For high-throughput integrations, queue requests to stay within limits.
```typescript
import PQueue from 'p-queue';
const monitor = new MiroRateLimitMonitor();
const miroQueue = new PQueue({
concurrency: 5, // Max parallel requests
interval: 1000, // Per second
intervalCap: 10, // Max 10 requests per second
timeout: 30000, // Per-request timeout
});
async function queuedMiroFetch(path: string, options?: RequestInit) {
// Pre-flight throttle check
const waitMs = monitor.getWaitMs();
if (waitMs > 0) {
console.warn(`[Miro] Throttling: waiting ${waitMs}ms for rate limit reset`);
await new Promise(r => setTimeout(r, waitMs));
}
return miroQueue.add(async () => {
const response = await fetch(`https://api.miro.com${path}`, {
...options,
headers: {
'Authorization': `Bearer ${process.env.MIRO_ACCESS_TOKEN}`,
'Content-Type': 'application/json',
...options?.headers,
},
});
monitor.updateFromResponse(response);
if (!response.ok) {
if (response.status === 429) {
// Re-queue with backoff
const retryAfter = parseInt(response.headers.get('Retry-After') ?? '5', 10);
await new Promise(r => setTimeout(r, retryAfter * 1000));
return queuedMiroFetch(path, options); // Retry
}
throw new Error(`Miro ${response.status}: ${await response.text()}`);
}
return response.json();
});
}
```
## Batch Operations to Reduce Credit Usage
```typescript
// BAD: 50 individual GET requests = 50 credits
for (const id of itemIds) {
const item = await miroFetch(`/v2/boards/${boardId}/items/${id}`);
}
// GOOD: 1 paginated list request, filter client-side = fewer credits
const allItems = await miroFetch(`/v2/boards/${boardId}/items?limit=50`);
const wantedItems = allItems.data.filter(item => itemIds.includes(item.id));
// GOOD: Use type filter to reduce response size
const stickyNotes = await miroFetch(`/v2/boards/${boardId}/items?type=sticky_note&limit=50`);
```
## Cost Estimation
```typescript
function estimateCreditsPerMinute(
requestsPerMinute: number,
avgLevel: 1 | 2 | 3 | 4
): { credits: number; percentOfLimit: number; safe: boolean } {
// Approximate credit costs (actual values from Miro docs)
const creditCost = { 1: 5, 2: 10, 3: 20, 4: 50 };
const credits = requestsPerMinute * creditCost[avgLevel];
return {
credits,
percentOfLimit: Math.round((credits / 100000) * 100),
safe: credits < 80000, // 80% safety margin
};
}
```
## Instructions
Use the ordered procedures and code samples in this guide as a sequence: begin with the prerequisites, apply the configuration or operational step for the target environment, then perform the documented validation or cleanup before proceeding. Keep credentials in the documented secret store; never hard-code them in source.
## Output
Following this guide produces the Miro integration outcome for its topic—configuration, validation evidence, operational recovery, or a documented migration result. Record command output and relevant identifiers so a failed step is traceable.
## Examples
Start with the smallest applicable command or code example in the relevant section, using a dedicated test board and non-production credentials. Confirm the expected response or validation result before applying the pattern to production.
## Error Handling
| Scenario | Detection | Action |
|----------|-----------|--------|
| Approaching limit | `X-RateLimit-Remaining` < 5000 | Reduce request frequency |
| Rate limited | HTTP 429 | Backoff using `Retry-After` header |
| Sustained 429s | Multiple consecutive 429s | Pause all requests, wait for reset |
| Credit spike | Monitor shows >80% usage | Audit for unnecessary requests |
## Resources
- [Miro Rate Limiting](https://developers.miro.com/reference/rate-limiting)
- [REST API Rate Limits](https://developers.miro.com/reference/rate-limits)
- [p-queue](https://github.com/sindresorhus/p-queue)
## Next Steps
For security configuration, see `miro-security-basics`.
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