The founder of sipi.bot describes six deterministic controls for governing AI agent spending, arguing prompts alone cannot enforce policy. The public evaluation set passes all 53 failure scenarios covering retries, merchant rules, and time windows. The post doubles as outreach seeking one team with a live agent to pilot the product.
Paynomos is a tool that gives AI agent owners control over agent spending by setting policies like per-transaction limits, daily caps, and vendor rules. Agents get a payment channel scoped to these rules, and any out-of-policy transaction is flagged for owner approval. It solves the problem of uncontrolled AI agent expenditures.
Paynomos is a tool that gives AI agent owners control over agent spending by setting policies like per-transaction limits, daily caps, and vendor rules. Agents get a payment channel scoped to these rules, and any out-of-policy transaction is flagged for owner approval. It solves the problem of uncontrolled AI agent expenditures.
pyagentgate is an open-source Python rules engine that gates agent purchases against policies like spending limits, merchant restrictions, velocity controls, and time windows, returning ALLOW, DENY, or ESCALATE to a human. It targets developers building purchasing agents who need guardrails against runaway spending or prompt-injected purchases, without a paid intermediary. The author positions it as an alternative to agentic-payments startups that take a cut per transaction.
pyagentgate is an open-source Python rules engine that gates agent purchases against policies like spending limits, merchant restrictions, velocity controls, and time windows, returning ALLOW, DENY, or ESCALATE to a human. It targets developers building purchasing agents who need guardrails against runaway spending or prompt-injected purchases, without a paid intermediary. The author positions it as an alternative to agentic-payments startups that take a cut per transaction.
A proposal to add card-level spending constraints outside the LLM prompt for agents built on Anthropic's commerce-agent blueprint. The LLM searches catalogs, builds carts, and checks out; enforcement happens at the payment layer via merchant allowlists, per-order limits, and approval pauses. It targets developers implementing autonomous purchasing agents.
A proposal to add card-level spending constraints outside the LLM prompt for agents built on Anthropic's commerce-agent blueprint. The LLM searches catalogs, builds carts, and checks out; enforcement happens at the payment layer via merchant allowlists, per-order limits, and approval pauses. It targets developers implementing autonomous purchasing agents.
Arcforge is an early prototype governance layer that lets an AI agent autonomously create and register its own tools (e.g., a payment tool) via OpenAPI specs, but enforces user-defined policies to block actions that exceed limits (e.g., a $9,999 charge) before they reach external services like Stripe. The agent never holds the API key, addressing control and safety concerns for autonomous agents. It targets developers and researchers exploring safe agent autonomy.
Arcforge is an early prototype governance layer that lets an AI agent autonomously create and register its own tools (e.g., a payment tool) via OpenAPI specs, but enforces user-defined policies to block actions that exceed limits (e.g., a $9,999 charge) before they reach external services like Stripe. The agent never holds the API key, addressing control and safety concerns for autonomous agents. It targets developers and researchers exploring safe agent autonomy.
This is a capability layer that lets AI agents discover external capabilities, read their schemas and prices, enforce spending limits, pay per accepted call, and receive verifiable receipts. It prevents duplicate charges on replays. Currently applied to EU e-invoice readiness, EU import preflight, and EU energy-label services.
This is a capability layer that lets AI agents discover external capabilities, read their schemas and prices, enforce spending limits, pay per accepted call, and receive verifiable receipts. It prevents duplicate charges on replays. Currently applied to EU e-invoice readiness, EU import preflight, and EU energy-label services.