supabase-rate-limits

Manage Supabase rate limits and quotas across all plan tiers. Use when hitting 429 errors, configuring connection pooling, optimizing API throughput, or understanding tier-specific quotas for Auth, Storage, Realtime, and Edge Functions. Trigger: "supabase rate limit", "supabase 429", "supabase throttle", "supabase quota", "supabase connection pool", "supabase too many requests".

1,868 stars

Best use case

supabase-rate-limits is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Manage Supabase rate limits and quotas across all plan tiers. Use when hitting 429 errors, configuring connection pooling, optimizing API throughput, or understanding tier-specific quotas for Auth, Storage, Realtime, and Edge Functions. Trigger: "supabase rate limit", "supabase 429", "supabase throttle", "supabase quota", "supabase connection pool", "supabase too many requests".

Teams using supabase-rate-limits should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/supabase-rate-limits/SKILL.md --create-dirs "https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/main/plugins/saas-packs/supabase-pack/skills/supabase-rate-limits/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/supabase-rate-limits/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How supabase-rate-limits Compares

Feature / Agentsupabase-rate-limitsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Manage Supabase rate limits and quotas across all plan tiers. Use when hitting 429 errors, configuring connection pooling, optimizing API throughput, or understanding tier-specific quotas for Auth, Storage, Realtime, and Edge Functions. Trigger: "supabase rate limit", "supabase 429", "supabase throttle", "supabase quota", "supabase connection pool", "supabase too many requests".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Supabase Rate Limits

## Overview

Supabase enforces rate limits and quotas across every API surface — PostgREST, Auth, Storage, Realtime, and Edge Functions. Limits scale by plan tier. This skill covers the exact numbers per tier, connection pooling via Supavisor, retry/backoff patterns, pagination to reduce payload, and dashboard monitoring so you can stay within quotas and handle 429 errors gracefully.

## Prerequisites

- Active Supabase project (any tier)
- `@supabase/supabase-js` v2+ installed
- Project URL and anon/service-role key available
- Node.js 18+ or equivalent runtime

## Instructions

### Step 1 — Understand Rate Limits by Tier and Surface

Every Supabase project has per-surface limits that differ by plan. Know these numbers before you architect:

**API Request Limits**

| Metric | Free | Pro | Enterprise |
|--------|------|-----|------------|
| Requests per minute (RPM) | 500 | 5,000 | Unlimited (custom) |
| Requests per day (RPD) | 50,000 | 1,000,000 | Unlimited (custom) |

**Auth Rate Limits**

| Endpoint | Free | Pro |
|----------|------|-----|
| Signup | 30/hour per IP | Higher (configurable) |
| Sign-in (password) | 30/hour per IP | Higher (configurable) |
| Magic link / OTP | 4/hour per user | Configurable |
| Token refresh | 360/hour | 360/hour |

Auth limits are per-IP and per-user. Configure custom limits in Dashboard > Authentication > Rate Limits.

**Storage Bandwidth**

| Metric | Free | Pro |
|--------|------|-----|
| Storage size | 1 GB | 100 GB |
| Bandwidth | 2 GB/month | 250 GB/month |
| Max file size | 50 MB | 5 GB |
| Upload rate | Shared with API RPM | Shared with API RPM |

**Realtime Connections**

| Metric | Free | Pro |
|--------|------|-----|
| Concurrent connections | 200 | 500 |
| Messages per second | 100 | 500 |
| Channel joins | Shared with connection limit | Shared |

**Edge Functions**

| Metric | Free | Pro |
|--------|------|-----|
| Invocations/month | 500,000 | 2,000,000 |
| Execution time | 150s wall / 50ms CPU | 150s wall / 2s CPU |
| Memory | 256 MB | 256 MB |

**Database Connections**

| Mode | Free | Pro |
|------|------|-----|
| Direct connections | 60 | 100+ |
| Pooled connections (Supavisor) | 200 | 1,500+ |

### Step 2 — Configure Connection Pooling with Supavisor

Supavisor is Supabase's built-in connection pooler (replaced PgBouncer). It supports two modes:

**Transaction mode (port 6543)** — recommended for serverless:

```typescript
import { createClient } from '@supabase/supabase-js'

// Transaction mode: connections returned to pool after each transaction
// Best for: serverless functions, Edge Functions, high-concurrency apps
const supabase = createClient(
  'https://your-project.supabase.co',
  process.env.SUPABASE_ANON_KEY!,
  {
    db: {
      // Use the pooler connection string with port 6543
      // Format: postgresql://postgres.[ref]:[password]@aws-0-[region].pooler.supabase.com:6543/postgres
    }
  }
)

// For direct Postgres connections (e.g., Prisma, Drizzle), add pgbouncer=true
// Connection string: postgresql://...@pooler.supabase.com:6543/postgres?pgbouncer=true
```

**Session mode (port 5432)** — for LISTEN/NOTIFY and prepared statements:

```typescript
// Session mode: dedicated connection per client session
// Best for: long-lived connections, LISTEN/NOTIFY, prepared statements
// Connection string: postgresql://...@pooler.supabase.com:5432/postgres
```

**When to use which mode:**

| Use case | Mode | Port |
|----------|------|------|
| Serverless / Edge Functions | Transaction | 6543 |
| Next.js API routes | Transaction | 6543 |
| Long-running workers | Session | 5432 |
| Realtime subscriptions | Direct (no pooler) | 5432 |
| Prisma / Drizzle ORM | Transaction + `?pgbouncer=true` | 6543 |

### Step 3 — Implement Retry, Pagination, and Monitoring

**Retry with exponential backoff for 429 errors:**

```typescript
import { createClient, SupabaseClient } from '@supabase/supabase-js'

const supabase = createClient(
  process.env.SUPABASE_URL!,
  process.env.SUPABASE_ANON_KEY!
)

interface RetryConfig {
  maxRetries: number
  baseDelayMs: number
  maxDelayMs: number
}

async function withRetry<T>(
  operation: () => Promise<{ data: T | null; error: any }>,
  config: RetryConfig = { maxRetries: 3, baseDelayMs: 500, maxDelayMs: 10_000 }
): Promise<T> {
  for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
    const { data, error } = await operation()

    if (!error) return data as T

    const isRetryable =
      error.message?.includes('rate limit') ||
      error.message?.includes('too many requests') ||
      error.code === '429' ||
      error.code === 'PGRST000'  // connection pool exhausted

    if (!isRetryable || attempt === config.maxRetries) {
      throw new Error(`Supabase error after ${attempt + 1} attempts: ${error.message}`)
    }

    // Check Retry-After header if available
    const retryAfter = error.details?.retryAfter
    const delay = retryAfter
      ? retryAfter * 1000
      : Math.min(
          config.baseDelayMs * Math.pow(2, attempt) + Math.random() * 200,
          config.maxDelayMs
        )

    console.warn(`[supabase-retry] Attempt ${attempt + 1}/${config.maxRetries}, waiting ${delay}ms`)
    await new Promise((resolve) => setTimeout(resolve, delay))
  }

  throw new Error('Unreachable')
}

// Usage — wraps any Supabase query
const users = await withRetry(() =>
  supabase.from('users').select('id, email, created_at').eq('active', true)
)
```

**Pagination to reduce payload and stay within limits:**

```typescript
// Use .range() to paginate — reduces response size and avoids timeouts
async function fetchPaginated<T>(
  table: string,
  pageSize = 100,
  filters?: (query: any) => any
): Promise<T[]> {
  const allRows: T[] = []
  let from = 0

  while (true) {
    let query = supabase.from(table).select('*', { count: 'exact' })
    if (filters) query = filters(query)

    const { data, error, count } = await query.range(from, from + pageSize - 1)

    if (error) throw error
    if (!data || data.length === 0) break

    allRows.push(...(data as T[]))
    from += pageSize

    // Stop if we've fetched everything
    if (count !== null && from >= count) break
  }

  return allRows
}

// Usage
const allProducts = await fetchPaginated('products', 100, (q) =>
  q.eq('status', 'active').order('created_at', { ascending: false })
)

// Simple single-page fetch with .range()
const { data } = await supabase
  .from('orders')
  .select('id, total, status')
  .range(0, 99)  // First 100 rows (0-indexed)
  .order('created_at', { ascending: false })
```

**Monitor usage via the Dashboard:**

1. Navigate to Dashboard > Reports > API Usage
2. Check the "API Requests" chart for RPM/RPD trends
3. Review "Database" section for connection count and pool utilization
4. Set up alerts in Dashboard > Settings > Notifications for:
   - API request threshold (e.g., 80% of RPM limit)
   - Database connection saturation
   - Storage bandwidth approaching limit

**Batch operations to reduce request count:**

```typescript
// BAD: N individual inserts = N requests against your RPM
// for (const item of items) await supabase.from('items').insert(item)

// GOOD: single batch insert (max ~1000 rows per request)
const { data, error } = await supabase
  .from('items')
  .upsert(batchOfItems, { onConflict: 'external_id' })
  .select()

// For larger batches, chunk into groups
function chunk<T>(arr: T[], size: number): T[][] {
  return Array.from({ length: Math.ceil(arr.length / size) }, (_, i) =>
    arr.slice(i * size, i * size + size)
  )
}

for (const batch of chunk(largeDataset, 500)) {
  await withRetry(() =>
    supabase.from('items').upsert(batch, { onConflict: 'external_id' }).select()
  )
}
```

## Output

After applying this skill you will have:

- Clear understanding of rate limits per tier (Free: 500 RPM / 50K RPD, Pro: 5K RPM / 1M RPD)
- Connection pooling configured via Supavisor (port 6543 transaction mode for serverless)
- Retry wrapper with exponential backoff handling 429 errors
- Paginated queries using `.range(0, 99)` to reduce payload size
- Batch upsert pattern reducing N requests to 1
- Dashboard monitoring configured for API usage alerts

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| `429 Too Many Requests` | Exceeded RPM or RPD limit | Apply `withRetry` backoff; reduce concurrency; upgrade tier |
| `PGRST000: could not connect` | Connection pool exhausted | Switch to Supavisor transaction mode (port 6543); reduce concurrent queries |
| Auth `over_request_rate_limit` | Too many signups/logins from one IP | Add CAPTCHA; configure custom auth rate limits in Dashboard |
| Storage `413 Payload Too Large` | File exceeds tier limit | Use TUS resumable upload; check tier file size limit |
| Realtime `too_many_connections` | Concurrent connection limit reached | Unsubscribe unused channels; upgrade to Pro for 500 connections |
| Edge Function `BOOT_ERROR` | Cold start timeout or memory exceeded | Reduce bundle size; avoid large imports at top level |
| `pgbouncer=true` errors with Prisma | Missing connection string parameter | Append `?pgbouncer=true` to pooler connection string on port 6543 |

## Examples

**Example 1 — Serverless Edge Function with rate-limit-safe client:**

```typescript
// supabase/functions/process-webhook/index.ts
import { serve } from 'https://deno.land/std@0.177.0/http/server.ts'
import { createClient } from 'https://esm.sh/@supabase/supabase-js@2'

serve(async (req) => {
  const supabase = createClient(
    Deno.env.get('SUPABASE_URL')!,
    Deno.env.get('SUPABASE_SERVICE_ROLE_KEY')!
  )

  const payload = await req.json()

  // Batch insert webhook events (single request vs N)
  const { error } = await supabase
    .from('webhook_events')
    .insert(payload.events.map((e: any) => ({
      type: e.type,
      data: e.data,
      received_at: new Date().toISOString(),
    })))

  if (error) {
    console.error('Insert failed:', error.message)
    return new Response(JSON.stringify({ error: error.message }), { status: 500 })
  }

  return new Response(JSON.stringify({ processed: payload.events.length }), { status: 200 })
})
```

**Example 2 — Connection string selection for different runtimes:**

```bash
# Serverless (Vercel, Netlify, Edge Functions) — transaction mode
DATABASE_URL="postgresql://postgres.abc123:password@aws-0-us-east-1.pooler.supabase.com:6543/postgres?pgbouncer=true"

# Long-running server (Express, Fastify) — session mode
DATABASE_URL="postgresql://postgres.abc123:password@aws-0-us-east-1.pooler.supabase.com:5432/postgres"

# Direct connection (migrations, schema changes only)
DATABASE_URL="postgresql://postgres:password@db.abc123.supabase.co:5432/postgres"
```

## Resources

- [Supabase Platform Limits & Quotas](https://supabase.com/docs/guides/platform/going-into-prod#rate-limiting)
- [Supavisor Connection Pooling](https://supabase.com/docs/guides/database/connecting-to-postgres#connection-pooler)
- [Auth Rate Limits Configuration](https://supabase.com/docs/guides/auth/auth-rate-limits)
- [Edge Functions Limits](https://supabase.com/docs/guides/functions/limits)
- [Storage Limits](https://supabase.com/docs/guides/storage#limits)
- [@supabase/supabase-js Reference](https://supabase.com/docs/reference/javascript/introduction)

## Next Steps

For securing your Supabase project with RLS policies and API key management, see `supabase-security-basics`. For optimizing database queries and indexing, see `supabase-performance-tuning`.

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