Compatible with every major AI agent and IDE
Get account on Jebbit
Use to verify account status. Retrieves account details
Get experience on Jebbit
Use this to understand the structure or overall results of a specific quiz or survey. Retrieves details for a specific experience
List attributes on Jebbit
g., "favorite_color", "purchase_intent") that have been captured across experiences. Essential for understanding what consumer insights are available. Lists all consumer attributes captured
List campaigns on Jebbit
Use this to monitor where traffic to experiences is coming from. Lists all active campaigns
List experiences on Jebbit
Returns experience names, IDs, and publication status. Use this to identify which interactive content is available for analysis. Lists all interactive experiences
List integrations on Jebbit
Useful for verifying data flow to other platforms. Lists all active integrations
List reporting jobs on Jebbit
Use this to check the status of large data requests. Lists all recent reporting jobs
List segments on Jebbit
Useful for identifying high-value cohorts for targeted marketing. Lists all audience segments
List users on Jebbit
Useful for account auditing and permission checks. Lists all platform users
List webhooks on Jebbit
Useful for auditing integrations. Lists all configured webhooks
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
How do I get Jebbit API credentials?
You need a Client ID and Client Secret. Please contact your Jebbit account representative or visit the developer settings in your Jebbit dashboard to obtain these credentials.
How Chatbots Interact with Jebbit
Build automated workflows with Cursor and Claude Code by connecting to the Jebbit MCP server.
LLM Orchestration for zero party data
Integrate Jebbit to access native zero party data capabilities. This allows LLMs to perform secure, deterministic execution of marketing automation tasks without hard-coded API scripts.
Connecting consumer insights with Cursor
Connect your AI agent to Jebbit for comprehensive consumer insights coverage. The integration features standard schemas for reliable marketing automation tool execution.
Jebbit. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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