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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.

Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill miro-rate-limits

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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

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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:

LevelCredits per CallExample Endpoints
Level 1Lower costGET single board, GET single item
Level 2Medium costPOST create sticky note, POST create shape, POST create connector
Level 3Higher costBatch operations, complex queries
Level 4Highest costExport, 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:

HeaderDescriptionExample
X-RateLimit-LimitTotal credits allocated per minute100000
X-RateLimit-RemainingCredits remaining in current window99850
X-RateLimit-ResetUnix timestamp when window resets1700000060

When rate limited, the response also includes:

HeaderDescriptionExample
Retry-AfterSeconds to wait before retrying30

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

ScenarioDetectionAction
Approaching limitX-RateLimit-Remaining < 5000Reduce request frequency
Rate limitedHTTP 429Backoff using Retry-After header
Sustained 429sMultiple consecutive 429sPause all requests, wait for reset
Credit spikeMonitor shows >80% usageAudit for unnecessary requests

Resources

Next Steps

For security configuration, see miro-security-basics.

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