Juicebox Rate Limits

Overview

Juicebox's AI-powered data analysis API enforces plan-tiered rate limits across dataset uploads, analysis triggers, and result retrieval. Heavy analytical workloads like running comparative analyses across multiple datasets or batch-processing survey results hit the analysis trigger limit first. The enrichment endpoints for augmenting datasets with external data sources have separate, lower caps, making it essential to prioritize enrichment calls and batch analysis runs during off-peak windows.

Rate Limit Reference

Rate Limiter Implementation

class JuiceboxRateLimiter {
  private tokens: number;
  private lastRefill: number;
  private readonly max: number;
  private readonly refillRate: number;
  private queue: Array<{ resolve: () => void }> = [];

  constructor(maxPerMinute: number) {
    this.max = maxPerMinute;
    this.tokens = maxPerMinute;
    this.lastRefill = Date.now();
    this.refillRate = maxPerMinute / 60_000;
  }

  async acquire(): Promise<void> {
    this.refill();
    if (this.tokens >= 1) { this.tokens -= 1; return; }
    return new Promise(resolve => this.queue.push({ resolve }));
  }

  private refill() {
    const now = Date.now();
    this.tokens = Math.min(this.max, this.tokens + (now - this.lastRefill) * this.refillRate);
    this.lastRefill = now;
    while (this.tokens >= 1 && this.queue.length) {
      this.tokens -= 1;
      this.queue.shift()!.resolve();
    }
  }
}

const analysisLimiter = new JuiceboxRateLimiter(25);
const enrichLimiter = new JuiceboxRateLimiter(12);

Retry Strategy

async function juiceboxRetry<T>(
  limiter: JuiceboxRateLimiter, fn: () => Promise<Response>, maxRetries = 3
): Promise<T> {
  for (let attempt = 0; attempt <= maxRetries; attempt++) {
    await limiter.acquire();
    const res = await fn();
    if (res.ok) return res.json();
    if (res.status === 429) {
      const retryAfter = parseInt(res.headers.get("Retry-After") || "15", 10);
      const jitter = Math.random() * 3000;
      await new Promise(r => setTimeout(r, retryAfter * 1000 + jitter));
      continue;
    }
    if (res.status >= 500 && attempt < maxRetries) {
      await new Promise(r => setTimeout(r, Math.pow(2, attempt) * 2000));
      continue;
    }
    throw new Error(`Juicebox API ${res.status}: ${await res.text()}`);
  }
  throw new Error("Max retries exceeded");
}

Batch Processing

async function batchAnalyzeDatasets(datasetIds: string[], query: string, batchSize = 5) {
  const results: any[] = [];
  for (let i = 0; i < datasetIds.length; i += batchSize) {
    const batch = datasetIds.slice(i, i + batchSize);
    const batchResults = await Promise.all(
      batch.map(id => juiceboxRetry(analysisLimiter, () =>
        fetch(`${BASE}/api/v1/datasets/${id}/analyze`, {
          method: "POST", headers,
          body: JSON.stringify({ query }),
        })
      ))
    );
    results.push(...batchResults);
    if (i + batchSize < datasetIds.length) await new Promise(r => setTimeout(r, 8000));
  }
  return results;
}

Error Handling

Resources

• Juicebox API Documentation

Next Steps

See juicebox-performance-tuning.