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Govern AI agent spending, deduplicate requests, and settle usage with x402.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Gatewards" MCP server from askskill: Run: claude mcp add 'io-github-rtahabas-gatewards' -- npx -y @gatewards/mcp-server
Help me design a Gatewards integration for a system with 20 AI agents, with a shared budget cap, per-agent spend tracking, and blocking further calls when the budget is exceeded.
An integration plan covering budget control logic, agent-level spend tracking, and over-budget handling.
Explain how to use Gatewards as a cross-agent deduplication proxy to detect duplicate requests from multiple AI agents to the same model and return reusable results to reduce costs.
A deduplication workflow describing duplicate detection, caching or result reuse, and how cost savings are achieved.
Design a Gatewards-based x402 settlement flow for my AI agent platform, covering request billing, payment validation, retry handling, and settlement auditing.
A settlement flow design describing billing points, validation steps, failure handling, and audit logging.
Add a universal kill switch and spend guard for spending AI agents.
Adds x402 payment safety checks, risk gates, and compliance firewalls for AI agents.
Control AI agent spend with pre-call caps, approvals, and rate limits.
Provides exactly-once guards for AI agents to prevent duplicate actions on retries.
Add fail-closed quality gates and hash-chained audit receipts to AI agent workflows.
Pay-per-call gateway for AI agents to enrich, read web, and scan repos.