thesithunyein/striker-os — explained in plain English
Analysis updated 2026-05-18
View a World Cup 2026 knockout bracket with live or scheduled match data and real country flags.
Get a statistical win-probability and expected-scoreline prediction for a matchup, unlocked with a small USDC payment.
Let an AI agent call World Cup fixture and prediction tools directly through an MCP server.
Fund an AI agent's wallet with USDC on Injective so it can pay for data on its own.
| thesithunyein/striker-os | 00kaku/gallery-slider-block | 0xkinno/vellum | |
|---|---|---|---|
| Stars | 0 | — | 0 |
| Language | JavaScript | JavaScript | JavaScript |
| Last pushed | — | 2021-05-19 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | hard | easy | hard |
| Complexity | 4/5 | 2/5 | 4/5 |
| Audience | developer | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires Injective testnet USDC and understanding the x402 payment handshake to unlock the full prediction data.
Striker OS is a World Cup fan hub built for a hackathon called the Injective Global Cup. It brings together match schedules, a simple prediction model, and a way for both people and AI programs to pay a small amount of cryptocurrency to unlock deeper match analysis. At its center is a World Cup 2026 knockout stage board showing fixtures with country flags, which can also switch to pull live scores from a separate sports data service. Alongside the schedule sits something called the Striker Model, a prediction tool that estimates each team's chance of winning using two statistical methods: one based on team ratings, and another that estimates how many goals each side is likely to score. From those numbers it works out a predicted scoreline, the odds of both teams scoring, and how likely a match is to have more than two and a half total goals. A free, short preview of these predictions is shown to everyone, but the fuller, graded analysis is locked behind a payment system called x402, which uses the HTTP error code 402, normally reserved for payment required, to ask for a tiny payment in a cryptocurrency called USDC before unlocking the full read. This is built on the Injective blockchain network and is designed so that even an AI agent, which cannot sign up for a normal account or API key, can pay for access on its own. The project also exposes its match data and prediction model as tools an AI agent can call directly, through something called an MCP server, plus an installable skill file that teaches an agent how to read fixtures and pay for the deeper analysis using this payment system. A separate piece handles moving USDC onto the Injective network so an agent's wallet has funds to spend in the first place. The whole thing runs as a website with its backend built from serverless functions, deployable to Vercel with a couple of commands, and the frontend and its data update automatically as real World Cup match days arrive.
A World Cup fan and AI-agent hub where match predictions from a statistical model are unlocked with a tiny USDC crypto payment via the x402 protocol on Injective.
Mainly JavaScript. The stack also includes JavaScript, Vercel, MCP.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.