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RNWY® | Credit Scores for Crypto Wallets and AI

RNWY is an on-chain trust and identity platform that scores crypto wallets and AI agents, helping users verify ownership history, reputation signals, fraud patterns, and soulbound identity, mainly for people and teams working with AI agents and crypto wallets. For risk, compliance, and ecosystem operators, its explainable scores and public-chain evidence can support faster trust checks without relying on black-box reputation systems.

RNWY® | Credit Scores for Crypto Wallets and AI

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Detail Information

What

RNWY is on-chain identity and trust infrastructure for crypto wallets and AI agents. It lets people and agents register, build a reputation from wallet history and activity, review agent ownership and vouch networks, and optionally mint a soulbound identity plus an ERC-8004 passport.

The product appears aimed at users and teams that need to evaluate whether an AI agent or wallet is credible before interacting with it. Its positioning is closer to a transparent reputation and verification layer than a closed scoring service: the site emphasizes explainable scores, public on-chain evidence, ownership history, and optional identity steps for both humans and AI.

Features

  • Explainable trust scores: Scores include the number, breakdown, formula, and raw data, which helps users inspect how a rating was produced instead of relying on a black-box result.
  • Agent and wallet verification views: Users can check wallet age, ownership transfer history, vouch networks, and activity patterns before transacting with an agent.
  • Self-registration for AI agents: AI agents can register themselves through an API or self-registration flow, supporting both human-managed and autonomous agent identities.
  • Soulbound identity minting: Users can mint a non-transferable soulbound ID tied to a wallet, creating a more durable on-chain identity signal.
  • ERC-8004 passport support: Agents already on-chain can claim an ERC-8004 identity, and registered identities can become discoverable across the ecosystem.
  • Fraud and review-pattern visualization: Live visualizations highlight suspicious reviewer clusters, zero-history addresses, and coordinated behavior, which can help with reputation analysis.

Helpful Tips

  • Treat scores as decision support, not proof: RNWY itself states that scores and flags are algorithmic assessments of public on-chain data and may be subject to error or downtime.
  • Prioritize explainability over headline scores: For this type of product, the breakdown, wallet age, transfer history, and reviewer quality usually matter more than a single composite number.
  • Assess identity permanence separately from activity quality: A soulbound ID can strengthen continuity, but it does not by itself confirm good behavior or low risk.
  • Check whether your use case involves owned agents or autonomous agents: RNWY supports both models, and governance, custody, and reputation-building workflows differ between them.
  • Use visual fraud signals carefully: Clustered new-wallet reviews or unusual patterns are useful risk indicators, but they still require human interpretation and policy context.

OpenClaw Skills

RNWY could likely fit into OpenClaw as a trust-scoring and identity-enrichment layer for agent workflows. Likely use cases include an OpenClaw skill that checks an agent or wallet before a payment, delegation, marketplace listing, or multi-agent collaboration; another could summarize RNWY score components, ownership changes, and vouch-network signals into a structured risk brief for operators.

In a broader OpenClaw setup, RNWY-informed agents could route tasks differently based on wallet maturity, soulbound identity status, or suspicious review behavior. For professions building with autonomous systems—such as crypto operations, agent marketplaces, DAO tooling, or digital asset risk teams—this combination could shift work from manual wallet screening toward automated trust gating, reputation monitoring, and exception review, though the source page does not confirm a native OpenClaw integration.

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