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Docs/Reference/Rate limits & caching

Rate limits & caching

Per-IP limits, the headers that report them, what happens at 429, and how caching keeps most requests free.

Limits

SurfaceLimitWindowScope
/api/v1/*120 requests60 s, slidingper IP
/api/mcp60 requests60 s, slidingper IP
/llms.txt/llms-full.txtno limit-
Markdown mirrorsno limit--

The MCP limit is lower because tool calls always hit the database, whereas REST responses are served from the edge cache most of the time. Limits are generous for interactive agents; if you are building a bulk pipeline, use /llms-full.txt or paginate with limit=100.

Headers

http
HTTP/1.1 200 OK
X-RateLimit-Limit: 120
X-RateLimit-Remaining: 117
X-RateLimit-Reset: 1790081905
Cache-Control: public, max-age=0, s-maxage=300, stale-while-revalidate=3600
Access-Control-Allow-Origin: *

X-RateLimit-Reset is a Unix timestamp (seconds). Cached responses may carry slightly stale X-RateLimit-Remaining values; treat them as advisory.

When you are limited

http
HTTP/1.1 429 Too Many Requests
Retry-After: 15
Cache-Control: no-store
X-RateLimit-Remaining: 0

{
  "error": {
    "code": "rate_limited",
    "message": "Rate limit of 120 requests per minute exceeded. Retry in 15s. Responses are cacheable - please cache them client-side."
  },
  "api_version": "1"
}

On MCP the body is a JSON-RPC error (code: -32000) with the same message. Sleep for Retry-After seconds, then continue. Do not retry in a tight loop.

Caching

SurfaceEdge cacheNotes
/api/v1/products, /founders, /launches, /trending5 minstale-while-revalidate for 1 h
/api/v1/products/{slug}, /founders/{username}5 minAlso refreshed instantly when the founder edits or an admin approves
/api/v1/categories10 minCounts are live at generation time
/api/v1/openapi.json, /api/v11 hStatic
/llms.txt, /llms-full.txt1 hRegenerated from live data
Markdown mirrors5 minSame as the product page
MCP tool callsnoneAlways live
Error responses404/400: 5 min · 429/500: never

Cache on your side too.

Honour Cache-Control, key your cache on the full URL including query parameters, and use updated_at from product details to decide when a record is worth refetching.

Implementation note: limits are enforced per serving instance, so a burst spread across regions may be allowed slightly more than the nominal number. Treat the figures above as the guaranteed floor.

PreviousData modelNextErrors

Prefer plain text? Everything here is summarised in /llms.txt.

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