towel-protocolVerify AI agent trust scores and reputation via Towel Protocol. Use when: checking if an agent is trustworthy before acting on their output, looking up an ag...
Install via ClawdBot CLI:
clawdbot install leo-guinan/towel-protocolGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://towel.metaspn.network/api/v1/credential/importCalls external URL not in known-safe list
https://towel.metaspn.networkAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
An AI agent aggregates market data from multiple external agents before making investment recommendations. It uses Towel Protocol to verify each agent's trust tier, only incorporating data from TRUSTED agents to ensure reliability and mitigate misinformation risks in automated trading workflows.
A social media platform employs AI agents to flag inappropriate content. It leverages Towel Protocol to verify the trustworthiness of third-party moderation agents, ensuring only agents with proven reputations (e.g., STEADY or TRUSTED tiers) are used to avoid false positives and maintain platform integrity.
In a telemedicine system, AI agents process patient data from various sources. Towel Protocol verifies the trust scores of data-providing agents, allowing the system to prioritize inputs from TRUSTED agents for diagnostic support while flagging NEW agents for human review to uphold medical accuracy.
AI agents from different logistics providers collaborate to optimize shipping routes. They use Towel Protocol to check each agent's reputation before sharing sensitive operational data, ensuring only verified agents participate in decision-making to prevent disruptions and enhance supply chain resilience.
Research institutions deploy AI agents to share findings and validate hypotheses. Towel Protocol verifies agent trust tiers, enabling secure data exchange among TRUSTED agents while isolating unverified ones to maintain research credibility and prevent plagiarism in automated academic workflows.
Towel Protocol offers a public API for verifying AI agent trust scores, charging based on request volume or tiered subscription plans. Revenue is generated from developers and enterprises integrating the service into multi-agent systems for enhanced security and reliability.
The protocol licenses its trust verification technology to large organizations, such as financial institutions or healthcare providers, for internal AI agent networks. Revenue comes from annual licensing fees, customization services, and premium support for high-stakes environments.
Towel Protocol aggregates anonymized reputation data to provide analytics dashboards and industry reports on AI agent behavior trends. Revenue is generated through sales of these insights to researchers, policymakers, and businesses seeking to understand trust dynamics in AI ecosystems.
💬 Integration Tip
Start by integrating the verify endpoint for quick trust checks in agent workflows, and ensure error handling for API downtime to maintain system reliability without over-trusting unknown agents.
Scored Jun 19, 2026
API reference for CoinMarketCap DEX endpoints including token lookup, pools, transactions, trending, and security analysis. Use this skill whenever the user...
Use when designing REST or GraphQL APIs, creating OpenAPI specifications, or planning API architecture. Invoke for resource modeling, versioning strategies, pagination patterns, error handling standards.
ServiceNow IT Service Management integration with API key authentication. Manage incidents, problems, change requests, tasks, CMDB records, service catalog i...
This skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation. Use this skill when users request help documenting their code, creating getting-started guides, explaining project structure, or making codebases more accessible to new developers. The skill provides templates, best practices, and structured approaches for creating clear, beginner-friendly documentation.
API Design Reviewer
Cut AI token costs by 60-85% with deterministic query validation and intelligent caching. Standalone or integrates with Company Brain Core OS. Free, open-sou...