Design evidence-based PostHog private-API throttling with correct endpoint classes, team-wide budgets, backoff, and export alternatives. Use when a private API returns 429 or a polling job needs a request budget. Trigger with "PostHog rate limit", "PostHog 429", or "PostHog backoff".
Installs into .claude/skills of the current project.
Are you the author of Posthog Rate Limits?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/jeremylongshore-posthog-rate-limits-155effde)
---
name: posthog-rate-limits
description: |
Design evidence-based PostHog private-API throttling with correct endpoint classes, team-wide budgets, backoff, and export alternatives. Use when a private API returns 429 or a polling job needs a request budget. Trigger with "PostHog rate limit", "PostHog 429", or "PostHog backoff".
argument-hint: "[integration] [endpoint-class]"
allowed-tools: Read, Write, Edit
version: 1.14.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- posthog
- api
compatibility: Designed for Claude Code
---
# PostHog Rate Limits
## Overview
PostHog rate limits apply to private API endpoints authenticated with a personal API key, project secret key where available, or OAuth. Public POST-only capture and flag endpoints have no PostHog request-level rate limit, but capture can still report billing limits in a successful response.
## Prerequisites
- A least-privilege personal API key, project secret key where available, or OAuth token for private endpoints
- Understanding of which endpoints you call and how often
- `posthog-node` or direct API usage
## PostHog Rate Limit Tiers
| Endpoint Category | Rate Limit | Examples |
|-------------------|-----------|----------|
| Public event capture (`/e`, `/i/v0/e`, `/batch/`) | **No request-level limit** | SDK capture and batch ingestion |
| Public feature flags (`/flags`) | **No request-level limit** | Client-side flag evaluation |
| Analytics API (insights, persons, recordings) | **240/min, 1200/hour** | Trend queries, person lookup |
| Events values (`/events/values`) | **60/min, 300/hour** | Event-property value lookup |
| Query API (`/api/projects/:id/query/`) | **2400/hour** | HogQL and structured queries |
| Feature flag local evaluation polling | **600/min** | Server SDK flag definition fetch |
| Other private CRUD endpoints | **480/min, 4800/hour** | Feature flag CRUD, cohorts, annotations |
These budgets apply to the whole PostHog team, not to each key or process. Coordinate workers through a shared limiter when more than one caller uses the same endpoint class.
## Instructions
### Tool discipline
Use `Read` to inspect the relevant configuration and implementation before proposing changes. Use `Write` only for a new, explicitly requested artifact inside the target project. Use `Edit` for minimal changes to existing project files after the evidence pass.
### Step 1: Implement Exponential Backoff with Retry-After
```typescript
async function postHogApiCall<T>(
url: string,
options: RequestInit,
maxRetries = 5
): Promise<T> {
for (let attempt = 0; attempt <= maxRetries; attempt++) {
const response = await fetch(url, {
...options,
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${process.env.POSTHOG_PERSONAL_API_KEY}`,
...options.headers,
},
});
if (response.ok) {
return response.json();
}
if (response.status === 429) {
// Honor the Retry-After header from PostHog
const retryAfter = parseInt(response.headers.get('Retry-After') || '0');
const backoffMs = retryAfter > 0
? retryAfter * 1000
: Math.min(1000 * Math.pow(2, attempt) + Math.random() * 500, 32000);
console.warn(`PostHog 429: retrying in ${Math.round(backoffMs)}ms (attempt ${attempt + 1}/${maxRetries})`);
await new Promise(r => setTimeout(r, backoffMs));
continue;
}
// Don't retry client errors (except 429)
if (response.status >= 400 && response.status < 500) {
const body = await response.text();
throw new Error(`PostHog API ${response.status}: ${body}`);
}
// Retry server errors (500+)
if (attempt < maxRetries) {
const delay = 1000 * Math.pow(2, attempt);
await new Promise(r => setTimeout(r, delay));
continue;
}
throw new Error(`PostHog API failed after ${maxRetries} retries: ${response.status}`);
}
throw new Error('Unreachable');
}
```
### Step 2: Request Queue for Burst Protection
```typescript
import PQueue from 'p-queue';
// Conservative analytics budget: 20/min averages to 1200/hour.
// A shared limiter is required when multiple workers use the same PostHog team.
const posthogQueue = new PQueue({
concurrency: 2, // Max parallel requests
interval: 60_000,
intervalCap: 20,
});
async function queuedPostHogCall<T>(
url: string,
options: RequestInit
): Promise<T> {
return posthogQueue.add(() => postHogApiCall<T>(url, options));
}
// Usage: all calls are automatically throttled
const insights = await queuedPostHogCall(
`https://us.posthog.com/api/projects/${PROJECT_ID}/insights/trend/`,
{ method: 'GET' }
);
```
### Step 3: Cache Frequently Accessed Data
```typescript
// Cache insight results to reduce API calls
class PostHogCache {
private cache = new Map<string, { data: any; expiry: number }>();
async get<T>(key: string, fetcher: () => Promise<T>, ttlMs = 300000): Promise<T> {
const cached = this.cache.get(key);
if (cached && Date.now() < cached.expiry) {
return cached.data as T;
}
const data = await fetcher();
this.cache.set(key, { data, expiry: Date.now() + ttlMs });
return data;
}
invalidate(key: string) {
this.cache.delete(key);
}
}
const phCache = new PostHogCache();
// Cache trend data for 5 minutes
const trends = await phCache.get('weekly-pageviews', () =>
queuedPostHogCall(`https://us.posthog.com/api/projects/${PROJECT_ID}/insights/trend/?events=[{"id":"$pageview"}]&date_from=-7d`, { method: 'GET' })
);
```
### Step 4: Monitor Rate Limit Headers
```typescript
class RateLimitMonitor {
private remaining = Infinity;
private resetAt = 0;
update(headers: Headers) {
const remaining = headers.get('X-RateLimit-Remaining');
const reset = headers.get('X-RateLimit-Reset');
if (remaining) this.remaining = parseInt(remaining);
if (reset) this.resetAt = parseInt(reset) * 1000;
}
shouldThrottle(): boolean {
return this.remaining < 10 && Date.now() < this.resetAt;
}
waitTime(): number {
return Math.max(0, this.resetAt - Date.now());
}
log() {
console.log(`PostHog rate limit: ${this.remaining} remaining, resets in ${Math.round(this.waitTime() / 1000)}s`);
}
}
const rateLimits = new RateLimitMonitor();
// After each API call, update the monitor
const response = await fetch(url, options);
rateLimits.update(response.headers);
if (rateLimits.shouldThrottle()) {
console.warn(`Approaching PostHog rate limit — waiting ${rateLimits.waitTime()}ms`);
await new Promise(r => setTimeout(r, rateLimits.waitTime()));
}
```
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| HTTP 429 on insights | >240 req/min on analytics | Queue requests, cache results |
| 429 on flag polling | >600 req/min local eval fetch | Increase `featureFlagsPollingInterval` |
| 429 on query API | >2400 req/hour across the team | Cache query results, reduce frequency, or use an export product |
| 429 on events values | >60 req/min or >300 req/hour | Cache dimensions and avoid interactive polling |
| 429 on other CRUD | >480 req/min or >4800 req/hour | Coordinate callers through a team-wide limiter |
| Thundering herd on retry | All clients retry simultaneously | Add random jitter to backoff |
## Key Points
- **Public capture and `/flags` have no PostHog request-level limit** — still inspect successful capture responses for `quota_limited` and check ingestion warnings.
- **Private endpoints are limited by class** — authentication may be a personal key, project secret key where available, or OAuth.
- **Limits are team-wide** — separate keys do not create separate budgets.
- **Cache aggressively** — insight data rarely needs real-time refresh
- **Honor Retry-After** — PostHog tells you exactly how long to wait
## Output
- Exponential backoff with Retry-After header support
- Endpoint-class request queue that respects both minute and hour budgets
- In-memory cache for API responses
- Rate limit header monitoring
## Examples
For a scheduled HogQL query job, budget against the documented query limit, serialize retries from `Retry-After`, add jitter, and stop after a bounded attempt count. Do not apply private-API limits to public capture endpoints; inspect `quota_limited` and ingestion warnings separately.
## Resources
See [official PostHog references](references/official-docs.md) for current authority and verification boundaries.
- [PostHog API Overview (rate limits)](https://posthog.com/docs/api)
- [PostHog Feature Flag Local Evaluation](https://posthog.com/docs/feature-flags/local-evaluation)
- [p-queue](https://github.com/sindresorhus/p-queue)
## Next Steps
For security configuration, see `posthog-security-basics`.