Compatible with every major AI agent and IDE
Gql get customer on Stigg
Get customer details via GraphQL
Gql get entitlements state on Stigg
Get entitlements state via GraphQL
Gql provision customer on Stigg
Provision a customer and optional subscription via GraphQL
Gql provision subscription on Stigg
Provision a subscription via GraphQL
Gql report usage on Stigg
Report usage via GraphQL
Rest cancel subscription on Stigg
Cancel a subscription via REST API
Rest create customer on Stigg
Create a new customer via REST API
Rest create subscription on Stigg
Create a subscription via REST API
Rest get customer on Stigg
Retrieve a customer via REST API
Rest get subscription on Stigg
Retrieve a subscription via REST API
Rest report usage on Stigg
Report usage for metered features via REST API
Rest update customer on Stigg
Update a customer via REST API
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.
How do I report usage for a metered feature?
You can use either rest_report_usage or gql_report_usage. Simply provide the customerId, the featureId, and the numeric value to update their metered usage in Stigg.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
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 Chatbots Interact with Stigg
Integrate Stigg to provide your custom AI agents with direct read and write access to the capabilities listed below.
Optimizing billing with Claude
The Stigg toolkit provides structured tools for billing. It enables conversational interfaces like Claude Code to query and modify data within your developer tools infrastructure.
subscriptions & AI Execution
The Stigg MCP integration translates natural language prompts into structured subscriptions queries. This allows agents to fetch and update developer tools records securely.
Stigg. 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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