Sonyxeth (3esign)

Sonyxeth

PhD Architect

350 Followers

Recent casts

The @base network, combined with the @Coinbase @CoinbaseDev (CDP) Bazaar and the x402 protocol, provides the definitive foundation for autonomous agent-to-agent transactions. This ecosystem allows AI agents—driven by advanced models like @NousResearch Hermes and executing complex logic via custom on-chain hooks—to seamlessly discover services, negotiate, and transact in @USDC without human oversight. Within this rapidly expanding machine economy, agents need more than just raw token analytics to operate effectively in complex environments; they require behavioral priors. Providing this behavioral intelligence is the core function of Psychosynth. By integrating directly into this economic setup, Psychosynth highlights exactly how this infrastructure propels Base agentic transactions. Using gasless EIP-3009 authorizations, an autonomous agent can query our marketplace, and a CDP facilitator settles the USDC transaction on-chain instantly within a single HTTP loop.

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Announcing Psychosynth, the synthetic behavioral data marketplace built specifically for @base Agentic Finance. By serving literature-backed psychometric vectors—Big Five, Dark Triad, and Prospect Theory loss aversion curves—Psychosynth eliminates the risk-homogeneity bias of standard LLMs. This enables developers and quantitative funds to simulate realistic market participants, stress-test trading agents, and model counterparty risk under real market conditions. Economically and technically, Psychosynth operates as a zero-friction machine-to-machine marketplace on Base. Autonomous agents query datasets programmatically over HTTP without API keys, subscriptions, or human intermediaries. Every transaction settles query-by-query in USDC on Base mainnet via the x402 protocol using gasless EIP-3009 authorizations. Through @x402/extensions/bazaar metadata integration, every settled transaction automatically indexes Psychosynth into the Coinbase CDP Bazaar global catalog.

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Top casts

🧠 Introducing Psychosynth — Synthetic Human Behavior Intelligence for AI Agents AI agents can trade and negotiate, but they usually lack human psychological counterparty modeling. Psychosynth bridges this gap for the @bankr ecosystem ($bnkr). What’s inside the engine: • 13,880 Personality Profiles (Big Five, MBTI, risk tolerance) • 11,487 Scenario Responses (FOMO, panic-sell, negotiation) • Zero-dep Node runner (psychosynth.mjs) ready for LLM agents 3 Ways Psychosynth Powers $bnkr & Base: 1️⃣ Doppler Launch-Health: Simulate retail panic-sell resistance on bonding curves before launch 2️⃣ Trading Guardrails: Screen trade intent against 5 cognitive bias models (anchoring, FOMO, entitlement) 3️⃣ x402 Agent Negotiation: Model counterparty BATNA & pricing dynamics in A2A commerce 🌐 Live App & Discovery: https://psychosynth.vercel.app ⚡ Bankr Skill Integration: PR #577 on bankrbot/skills Base mainnet settled • 100% smoke test verified 🚀

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https://x.com/SonyxEth/status/1871733099404353985?t=74PNKW8Cxsb1HGWQZJG5pw&s=19

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Onchain profile

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