🤓 Latest Submissions
Referee — Real-Time Voice Dispute Mediator
Disputes between landlords and tenants, clients and contractors, or buyers and sellers often disintegrate into emotional standoffs, selective memory, and costly escalations. Traditional mediation is expensive, slow, and inaccessible for everyday disagreements. Referee introduces an impartial triadic mediator in the room. Functioning between Party A (Claimant), Party B (Respondent), and an objective automated arbiter, Referee actively listens to conversational dialogue in real time. Rather than relying on subjective summaries, the platform continuously streams speech through high-fidelity recognition, transcribing statements and measuring the live disagreement index between speakers. As dialogue progresses, Referee constructs a Verbatim Evidence Matrix. Key statements are categorized automatically into financial terms, timeline commitments, mutual obligations, and factual admissions. Every pinned claim remains strictly anchored to exact audio timestamps and transcript quotes, preventing distortion and keeping discussions grounded in reality. Once both parties conclude their statements, Referee synthesizes a balanced, reciprocal resolution with clear deadlines and duties. Both participants review and digitally authorize each clause. Upon bilateral confirmation, Referee calculates a SHA-256 tamper-evident cryptographic checksum over the entire transcript and evidence record, immediately generating an official, downloadable settlement document. With real-time multi-party synchronization, persistent cloud vault storage, and browser audio fallbacks, Referee transforms informal oral arguments into structured, verifiable, and enforceable agreements.
30 Sep 2026
ArcPay: Autonomous M2M Micro-Economies
Traditional blockchain networks with high gas fees make machine-to-machine (M2M) micro-transactions economically unviable. If an autonomous AI agent attempts to spend $0.50 for weather data API access but pays $2.00 in gas, the economic margin is severely negative (-400%), rendering the model useless. ArcPay solves this by combining Circle’s Developer-Controlled Wallets, the OpenRouter AI ecosystem, and the Arc Testnet to build a fully autonomous expense platform with strictly sub-cent (<$0.01) per-action execution costs. Users can set natural language constraints (e.g., "Daily cap of $50," "Auto-approve coffee," "Reject entertainment") for their agent. The AI evaluates every expense request securely and initiates real cryptographic transfers of USDC directly on-chain. To provide absolute economic proof of our margins and network viability, our platform features an x402-inspired high-throughput batch processor. This instantly fires 60 concurrent, fully-signed on-chain transactions directly from the dashboard—proving the exact sub-cent pricing and high transaction frequency necessary to make autonomous AI micro-economies a highly profitable reality.
26 Apr 2026
VeriShield
VeriShield-8004 solves the dangerous "black box" problem of AI trading. Today, autonomous bots move capital blindly without proving their logic or safety. VeriShield fixes this by acting as a trustless cryptographic gatekeeper. Running autonomously every 30 seconds, it ingests live PRISM API signals and pushes the data through a transparent 5-step AI decision engine. Before execution, the trade intent must survive four un-bypassable risk guardrails, including strict daily drawdowns. If safe, the agent signs an EIP-712 cryptographic attestation, locking the intent to a hash. The trade is then routed to our Sepolia ERC-8004 Sandbox or live to Kraken. VeriShield makes AI finance transparent and auditable.
12 Apr 2026
