Compatible with every major AI agent and IDE
Get games on Faceit
Returns game IDs, names, icons and player counts. Get all supported games on Faceit
Get hub on Faceit
Returns hub name, game, player count, rules, settings and organizer info. Get details for a specific Faceit hub
Get hub leaderboard on Faceit
Returns player rankings with nicknames, ELO, Faceit level and position. Get the leaderboard for a specific hub
Get hub matches on Faceit
Returns match IDs, teams, scores, status and timestamps. Filter by type: "all", "upcoming", "ongoing", "past". Get matches for a specific hub
Get match on Faceit
Get details for a specific match
Get match stats on Faceit
Returns K/D/A, headshot %, K/R ratio, MVP rounds and other per-player performance metrics. Get player statistics for a specific match
Get player on Faceit
Returns nickname, avatar, country, Faceit levels for all games, ELO ratings, member_since and game player IDs (Steam, Riot, etc.). Get detailed profile for a specific Faceit player
Get player bans on Faceit
Returns ban type, reason, date and duration. Get ban history for a player
Get player history on Faceit
Returns match IDs, results (win/loss), score, ELO change, date and game. Use game filter to get history for a specific game. Get match history for a player
Get player stats on Faceit
Returns matches played, win rate, K/D ratio, ELO, headshot percentage (CS2), average kills/deaths and current win streak. Get game-specific stats for a player
Search players on Faceit
Returns player IDs, nicknames, avatars, Faceit levels, ELO ratings and game stats. Useful for finding any player on the platform. Search for Faceit players by nickname
Search tournaments on Faceit
Returns tournament names, IDs, games, skill level requirements, start times, prize pools and registration status. Search for tournaments on Faceit
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.
What is a Faceit level?
Faceit levels range from 1-10 based on ELO rating. Level 1 = 0-500 ELO, Level 10 = 2001+ ELO. Higher levels indicate more skilled players.
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.
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.
How Chatbots Interact with Faceit
The Faceit integration provides structured, LLM-friendly schemas for reliable tool execution within your agentic workflows.
AI-Driven esports Workflows
Integrate Faceit to access native esports capabilities. This allows LLMs to perform secure, deterministic execution of data analytics tasks without hard-coded API scripts.
Seamless matchmaking Integration
Connect Faceit to provide your chatbots with matchmaking capabilities. The integration manages the backend execution for data analytics workflows.
Faceit. 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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