Zevari API Reference

API Overview

Zevari exposes an HTTPS JSON REST API described by an OpenAPI 3.1 contract. The production base URL is https://api.zevari.ai. Public API endpoints use endpoint-specific HTTP verbs: GET for reads, PATCH for updates, DELETE for deletes, and POST for creates, approvals, generation, and other actions. The API is built from the same public method contract used by Zevari's MCP-backed execution layer, so it is appropriate for scheduled runners, CRM integrations, internal tools, and agent bridges that need direct HTTP endpoints.

Access Requirements

To use the public API, you need a Zevari account, an active workspace subscription, permission to the workspace, and permission to the LinkedIn sender or workspace resource that backs the workflow. LinkedIn-backed actions depend on the connected sender account and Zevari's documented approval and safety behavior.

Authentication

Create API keys in the Zevari app at Dashboard Settings - API Keys. API keys start with zvr_api_ and authenticate public API requests with Authorization: Bearer <key>. Keys are shown once, should be stored in a secret manager or environment variable, and should be rotated or revoked when access changes. Keep keys out of prompts, client-side code, CSV files, logs, and committed files.

• Create API key

  Open Zevari settings and use the API Keys section.

API Reference

• Help Center

  Human-facing guide to Zevari skills, workflows, agents, videos, safety, and support.

• Workflow Guide

  LinkedIn outreach, content, prospect research, audience analysis, campaign, inbox, and GTM workflows for Claude.

• Prompting Guide

  Copy-ready prompts that require AI assistants to read the MCP reference before acting.

• Workspaces and Sender Seats

  Human-facing setup guide for workspaces, members, billing, add-on LinkedIn sender seats, and teammate LinkedIn connections.

• Safety Center

  Human-facing guide to Zevari safety guardrails, warm-up, pauses, blocked actions, and recovery state.

• Warm-Up

  Human-facing guide to LinkedIn sender warm-up and gradual activity ramping.

• API Playbooks

  Ordered REST call flows for developers and AI agents using the Zevari API.

• MoltSets + LinkedIn Workflows

  Use MoltSets verified contact data with Zevari's LinkedIn enrichment, campaign, and approval-gated execution layer.

• MCP Reference

  Agent-facing tool schemas, capability contracts, examples, gotchas, and recovery guidance.

• API Reference

  Public REST API reference powered by the Zevari OpenAPI document.

• MCP Reference JSON

  Machine-readable MCP tool reference.

• LLMs Full

  AI-readable Zevari documentation bundle.

• Support

  Send bug reports, support handoffs, and feature requests.