Scalekit · Rate Limits

Scalekit Rate Limits

Scalekit enforces per-environment API rate limits on its management and auth REST endpoints, returning HTTP 429 when a client exceeds its allowance. Usage allowances (M2M tokens, tool calls, MAU/MAO, connections) also act as plan-level quotas. Specific per-endpoint request-per-second / per-minute values are not published in detail and are not reconciled in this artifact.

Scalekit Rate Limits is the machine-readable rate-limit profile for Scalekit on the APIs.io network, conforming to the API Commons Rate Limits specification.

It captures 6 rate-limit definitions, measuring requests, tokens, users, and organizations.

The profile also includes 3 backoff/retry policies defined and response codes documented for throttled.

Tagged areas include Authentication, SSO, SCIM, Identity, and B2B SaaS.

6 Limits Throttle: 429
AuthenticationSSOSCIMIdentityB2B SaaSAgent AuthRate LimitingQuotasThrottling

Limits

Management API Requests environment
requests
see provider documentation
Per-environment request rate on organization/connection/directory/membership endpoints.
Token Endpoint (client credentials) client
requests
see provider documentation
OAuth 2.0 token issuance at /oauth/token; cache and reuse access tokens until expiry.
M2M Tokens environment
tokens
10000 free per month (then $5 per 1,000)
Plan-level quota for machine-to-machine token issuance.
Agent Tool Calls account
requests
5,000/month (Free, hard stop); 200,000/month (Growth)
Tool execution via /api/v1/execute_tool counts against the tool-call allowance.
Monthly Active Users (MAU) environment
users
1,000,000 free per month
Plan-level quota; usage beyond is billed per MAU.
Monthly Active Organizations (MAO) environment
organizations
100 free per month
Plan-level quota; usage beyond is billed per MAO.

Policies

Tiered Limits
Allowances raise as accounts move from Free to Growth and via Enterprise agreements.
Token Reuse
Obtain a client-credentials access token and reuse it until expiry rather than minting one per request.
Backoff Strategy
Clients should implement exponential backoff with jitter and honor Retry-After on 429 responses.

Sources

Work with this as data

Every rate limit here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for rate limits

4 MCP tools reach this
  • find_rate_limitsBrowse and filter every rate limit in the catalog.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools

Call it yourself

curl for this page
This rate limit 
curl "https://apis.io/api/v1/rate-limits/scalekit-rate-limits"
All rate limits 
curl "https://apis.io/api/v1/rate-limits?limit=25"

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