The guardian layer for AI agents — identity, secrets, audit via MCP. Gate + Vault + Watch.
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Updated
Apr 22, 2026 - Python
The guardian layer for AI agents — identity, secrets, audit via MCP. Gate + Vault + Watch.
Agentic SpendGuard — audit-chain spend control for LLM agents. KMS-signed decisions, Stripe-style auth/capture ledger, operator approval, multi-tenant. Adapters for Pydantic-AI, LangChain, LangGraph, OpenAI Agents SDK, Microsoft AGT.
Pre-flight spend authorization for AI agents. Reserve-confirm lifecycle, concurrency-safe, append-only audit ledger.
Budget management and cost tracking MCP server for autonomous agents
Chat-native spend-control layer for AgentCash/x402 calls: wallets, quote ledger, policies, approvals, audit, and spend analytics.
TypeScript SDK for NORNR — spend governance for AI agents
AI Agent Context-Boundary Spend Gate: veto agent spends that cross context boundaries without re-authorization.
Open-source, local-first deterministic spend-control gate for autonomous agents. Policy gate + hash-chained ledger + human approval. Verified, not narrated.
Give your AI agent a wallet it can't drain — gasless, policy-checked spend vaults on BOT Chain. Live: https://botspend-production.up.railway.app
Paid remote MCP for AI browser purchase approval checks, spend thresholds, merchant evidence, risk notes, and audit receipts.
The budget that actually blocks — per-agent spend guardrail for agentic payments. Reserve/commit/release with a proven concurrency guarantee, policy engine, and audit trail. x402-ready.
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