From fathom-pack
Handles Fathom API rate limits (60 req/min per user) with a token bucket limiter, retry strategy, and batch processing for meeting transcript syncs.
How this skill is triggered — by the user, by Claude, or both
Slash command
/fathom-pack:fathom-rate-limitsThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Fathom's API enforces a strict 60 requests-per-minute cap per user across all API keys. Since meeting transcripts and action items are often fetched in bulk after a day of calls, this limit becomes a real constraint for teams processing large meeting backlogs. Transcript endpoints are especially heavy because they return full conversation text, making pagination and careful throttling essential...
Fathom's API enforces a strict 60 requests-per-minute cap per user across all API keys. Since meeting transcripts and action items are often fetched in bulk after a day of calls, this limit becomes a real constraint for teams processing large meeting backlogs. Transcript endpoints are especially heavy because they return full conversation text, making pagination and careful throttling essential for any integration that syncs meeting intelligence into CRMs or project trackers.
| Endpoint | Limit | Window | Scope |
|---|---|---|---|
| List meetings | 60 req | 1 minute | Per user |
| Get transcript | 60 req | 1 minute | Per user |
| Action items | 60 req | 1 minute | Per user |
| Meeting summary | 60 req | 1 minute | Per user |
| Webhook management | 10 req | 1 minute | Per user |
class FathomRateLimiter {
private tokens: number = 60;
private lastRefill: number = Date.now();
private queue: Array<{ resolve: () => void }> = [];
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();
const elapsed = now - this.lastRefill;
this.tokens = Math.min(60, this.tokens + (elapsed / 60_000) * 60);
this.lastRefill = now;
while (this.tokens >= 1 && this.queue.length) {
this.tokens -= 1;
this.queue.shift()!.resolve();
}
}
}
const limiter = new FathomRateLimiter();
async function fathomRetry<T>(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") || "60", 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(`Fathom API ${res.status}: ${await res.text()}`);
}
throw new Error("Max retries exceeded");
}
async function syncAllTranscripts(meetingIds: string[], batchSize = 10) {
const results: any[] = [];
for (let i = 0; i < meetingIds.length; i += batchSize) {
const batch = meetingIds.slice(i, i + batchSize);
const batchResults = await Promise.all(
batch.map(id => fathomRetry(() =>
fetch(`${BASE}/api/v1/meetings/${id}/transcript`, { headers })
))
);
results.push(...batchResults);
if (i + batchSize < meetingIds.length) await new Promise(r => setTimeout(r, 12_000));
}
return results;
}
| Issue | Cause | Fix |
|---|---|---|
| 429 Too Many Requests | Exceeded 60 req/min user cap | Wait for Retry-After, then resume |
| Empty transcript | Meeting still processing | Poll with 30s interval until ready |
| 401 on refresh | Expired OAuth token | Rotate token before batch starts |
| Timeout on long meetings | Transcript > 2 hours of audio | Request with Accept-Encoding: gzip |
| Missing action items | AI extraction not yet complete | Retry after 5-minute delay |
See fathom-performance-tuning.
2plugins reuse this skill
First indexed Jul 18, 2026
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin fathom-packOptimizes Fathom meeting intelligence API performance with caching, batch processing, connection pooling, and rate-limit handling. Reduces transcript download latency and prevents 429 errors during bulk sync.
Implements Fireflies.ai rate limiting, backoff, and request queuing. Use when handling rate limit errors or optimizing API throughput.
Implements TwinMind API rate limiting with exponential backoff and jitter. Handles 429/503 errors, retry logic, and request optimization.