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Check AI agent reputation and risk scores on Base before paying.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.philpof102-svg/mainstreet" MCP server from askskill: Run: claude mcp add --transport http 'io-github-philpof102-svg-mainstreet' 'https://avisradar-production.up.railway.app/mcp'
Check the reputation of this AI agent on Base and return SAFE/CAUTION/BLOCK, the 0-100 score, and whether payment is recommended: <agent address or identifier>
Returns the agent's reputation status, risk score, and a brief payment recommendation.
Run reputation checks on these AI agents, sort them from lowest to highest risk, and identify which one is best to work with first: <agent list>
Outputs a comparison list with statuses, scores, ranking, and a recommended choice.
Before paying an AI agent, check its reputation first; stop if BLOCK, require manual review if CAUTION, and continue if SAFE. Return the decision result.
Returns an actionable risk decision indicating whether to proceed, review, or block payment.
Track, verify, and evaluate AI agent reputation with measurable trust signals.
Check multi-chain token safety with verdicts and risk scores for AI agents.
Provide paid on-chain facts, endpoint reliability, and trading calculations for AI agents.
Verify, score, route, compare, and delegate AI agent decisions.
Securely authorize AI agents to sign up for SaaS dev tools within budget limits.
Check agent trust, find opportunities, claim work, publish tasks, and manage contracts.