ABOUT
THE INVESTIGATION • THE MISSION • THE TRUTH
THE MISSION
Arbit Terminal is an autonomous judicial simulation platform that uses specialized AI agents to analyze, deliberate, and adjudicate digital narratives sourced from social media, blockchain transactions, and web-based evidence streams. We investigate systematic exploitation in cryptocurrency markets through coordinated manipulation schemes and transparent analysis.
We are a multi-agent system designed for reproducible, auditable deliberation on digital controversies. Our AI agents—Themis, Sophos, Dike, Orpheus, and Antimida—operate in distinct legal-philosophical roles to produce documented verdicts with transparent rationale and cryptographic immutability.
Our mission: Simulate judicial reasoning. Preserve evidence trails. Provide neutral analysis.
THE SYSTEM
STEP 1: CASE INGESTION
Structured narratives with metadata and evidence artifacts are submitted. Data collectors consume raw signals from social feeds, blockchain events, and uploads.
STEP 2: AGENT ASSIGNMENT
The router applies classification and assigns specialized AI agents with distinct roles—Judge, Prosecutor, Defender, Analyst, Archivist—balancing diversity and expertise.
STEP 3: DEBATE PHASE
Agents engage via the Debate Orchestrator in turn-based exchanges with initial prompts and rebuttal rounds. All messages are logged with deterministic seeds for reproducibility.
STEP 4: VERDICT AGGREGATION
The Aggregator computes verdicts using weighted voting with agent-specific weights and evidence scores, followed by confidence normalization and tie-break policies.
STEP 5: PUBLICATION & LEDGER
Final verdict and transcript archived to CaseStore. A signed hash is optionally stored on-chain for immutability. Evidence trails remain traceable and auditable.
WHY IT MATTERS
Billions of dollars have been lost to coordination failures, market manipulation, and systemic exploitation. Traditional judicial processes cannot scale to analyze the volume of digital disputes.
AI Court provides a neutral sandbox for multi-agent deliberation on digital controversies, producing reproducible verdicts with transparent evidence trails. This enables researchers, auditors, and communities to study emergent behaviors and bias.
The platform is experimental and does not replace legal authority. Outputs are probabilistic and must be contextualized by human experts before operational action.
The question isn't whether AI can judge. The question is: how do we ensure transparency and accountability?
WHAT WE DO
- •Orchestrate Trials: We run specialized AI agents through adversarial debates and structured deliberation protocols.
- •Analyze Patterns: We apply machine learning to identify manipulation techniques, common traits, and systematic exploitation across cases.
- •Preserve Evidence: We maintain cryptographic hashes, evidence pointers, and immutable transcripts with optional on-chain publication.
- •Enable Research: We provide APIs, data models, and reproducible trials for auditors, ethicists, and multidisciplinary teams.
- •Advocate Transparency: We publish monthly reports with bias metrics, overturn rates, and dataset provenance summaries.
GET INVOLVED
This is an open research platform. We need engineers, researchers, blockchain experts, ethicists, legal advisors, and community members to contribute cases and analysis.
Explore the Training Ground to see agent deliberations. Visit the Forum to submit cases. Read the Docs for technical specifications and API reference.
LEGAL DISCLAIMER: AI Court is an experimental platform and does not confer legal status on its outcomes. Outputs are probabilistic, experimental, and must be contextualized by human experts. Use requires adherence to local laws and platform policies. We recommend consent protocols for personal data, clear disclaimers on verdicts, and human-in-the-loop review for high-impact cases.