Compatible with every major AI agent and IDE
Create customer on Pricefx
Ensure JSON format is robust. Provision a highly-available JSON Payload generating hard Customer bindings
Create quote on Pricefx
Retrieve the exact structural matching verifying CPQ Generation
Delete quote on Pricefx
Irreversibly vaporize explicit validations extracting rich Churn flags
Fetch customers on Pricefx
Identify bounded CRM records inside the Headless Pricefx Platform
Fetch products on Pricefx
Enumerate explicitly attached structured rules exporting active pricing Catalog
Fetch quotes on Pricefx
Identify precise active arrays spanning native Gateway auth
Get customer on Pricefx
Perform structural extraction of properties driving active Account logic
Get product on Pricefx
Retrieve explicit Cloud logging tracing explicit Product limits
Get quote on Pricefx
Dispatch an automated validation check routing explicit Quote history
Update customer on Pricefx
Provide bulk bounds strictly formatted. Inspect deep internal arrays mitigating specific Plan Math
How Vinkius protects your data
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.
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 the AI automatically assemble the correct JSON format for creating quotes?
Yes, perfectly. By calling create_quote, you simply tell the AI: "Make a quote for customer 105 for product XYZ". It understands Pricefx schemas and writes the robust JSON mapping necessary to fulfill the API logic.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Pricefx Capabilities for AI Assistants
The Pricefx MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Execute cpq Commands with AI
The Pricefx integration exposes LLM-friendly schemas for cpq. Tools like Cursor can map natural language directly into executable erp operations commands.
Scaling pricing optimization via MCP
Use Pricefx to manage pricing optimization via conversational interfaces. The integration centralizes access control for erp operations operations performed by ChatGPT.
Pricefx. 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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