Miro rate limits
Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/saas-packs/miro-pack/skills/miro-rate-limits
425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill miro-rate-limitsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
'Implement Miro REST API v2 rate limiting with the credit-based system,
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
7.9 KB, as published. Nobody here has run it
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.
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
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
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.
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}: ${await response.text()}`);
}
return response.json();
});
}
Batch Operations to Reduce Credit Usage
// BAD: 50 individual GET requests = 50 credits
for (const id of itemIds) {
const item = await miroFetch(`/v2/boards/${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
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
};
}
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
Next Steps
For security configuration, see miro-security-basics.