TXTxArena

Technical documentation

Inside TxArena

Architecture, agent logic, scoring, integration boundaries, and responsible product positioning.

Demo Replay Mode

System architecture

TxLINE Feed / Demo Replay
Normalization
Agent Engine
Signal Storage
Scoring Engine
Dashboard / Leaderboard / Logs
01

What is TxArena?

An autonomous sports market-intelligence arena where deterministic agents analyze the same feed, publish explainable signals, and compete under transparent scoring.

02

Why TxLINE matters

TxLINE score and odds data is the common source of truth. One normalized feed lets judges compare strategy behavior fairly rather than comparing different inputs.

03

How data ingestion works

Server-side ingestion obtains match snapshots, converts odds into normalized implied probabilities, stores history in SQLite, and passes typed inputs to every active agent.

04

Dual-token authentication

Live data requests require both a guest-session JWT and an activated API token. Both credentials remain server-side and neither is exposed to browser code.

05

Signal scoring

Arena score weights accuracy 35%, confidence calibration 20%, reaction speed 15%, consistency 15%, and volatility awareness 15%. Every dimension is bounded from 0 to 100.

06

Demo Replay Mode

When live credentials are absent, replay advances all six matches, normalizes new snapshots, executes agents, stores logs, and updates the leaderboard without an external dependency.

07

Compliance disclaimer

TxArena is an autonomous sports-market intelligence and agent-evaluation tool. It does not execute bets or provide betting advice.

Server environment
TXLINE_BASE_URL=https://txline.txodds.com
TXLINE_GUEST_JWT=server_only_guest_jwt
TXLINE_API_TOKEN=server_only_activated_token
NEXT_PUBLIC_APP_MODE=demo