Rankbox
Docs

Agent access

AI agents create Rankbox accounts and run the whole platform through the API or MCP.

  1. 1Agent accessHow AI agents create Rankbox accounts or connect to existing ones, then run research, writing, publishing and billing through the API or MCP.
  2. 2Quickstart for AI agentsStep-by-step instructions an AI agent can execute: create a Rankbox account, start the trial, plan, generate, publish, turn on autopilot and listen for events.
  3. 3Create an account as an agentCreate a Rankbox account for a person or business with one API call: fields, the agent key, the claim email, duplicate emails, validation and abuse limits.
  4. 4Agent authenticationHow agents authenticate with Rankbox: rv_agent_ keys, OAuth 2.1 with PKCE and dynamic client registration, dashboard keys, rotation, revocation and site keys.
  5. 5Agent API referenceEvery endpoint of the Rankbox agent API: conventions, objects, parameters and example requests and responses for accounts, sites, articles, billing and more.
  6. 6Agent MCP toolsConnect an agent to the Rankbox MCP server with an agent key or OAuth and use the full tool set: inputs, outputs, example calls and anonymous access.
  7. 7Events and webhooksEvery Rankbox event type with payloads, how to register signed webhooks, verify the HMAC signature in TypeScript or Python, handle retries and poll GET /events.
  8. 8Billing, credits and limitsWhat agents can do before a plan, how the trial and the owner's card work, article, backlink and Reddit credits, Studio, rate limits and each 402.
  9. 9Permissions and guardrailsThe full-access model for agents, the few moments that need a person and why, the activity log, revocation, owner controls, security advice and acceptable use.
  10. 10Agent playbooksEnd-to-end recipes for agents: launch a content engine, add Rankbox to a Next.js site, run client sites with Studio, a weekly loop and error recovery.