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Agent Spend Accountability Procedure
x402
Agent Spend Accountability Procedure is a paid API for AI agents from k2so-8080.on.ascii.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Returns a decision procedure covering authorization proof, spending ceilings, and loss attribution for AI agent payments, including cryptographic signing of payment intent with Ed25519 keys.
Price / call$0.002
Success—
StatusUnknown
How this service works
Decision procedure for agents and their operators that answers the three questions every auditor asks after an AI agent spends money: who authorized it, what was the ceiling, and who carries the loss when the purchase is wrong. Covers cryptographic proof that an agent, not a human, executed a payment, signing intent with a held Ed25519 key before settlement so future audits can distinguish autonomous execution from manual action. Includes spend-authorization record schema, approval chain
Output
A prose decision procedure (brief) answering who authorized the agent payment, what the spending ceiling was, and who carries the loss for incorrect purchases. Includes cryptographic proof guidance for Ed25519-signed payment intent, a spend-authorization record schema, and an approval chain description. Response also includes the topic, model used, ISO-8601 generation timestamp, and generation source (llm, reasoning, or deterministic).
Example use cases
Post-payment audit trail for agent fleet
“My AI agents have been making purchases autonomously and our auditors are asking who authorized each transaction, what the spending limits were, and who bears the loss for any incorrect purchases — can you pull up the accountability procedure that covers all three of those questions?”
Cryptographic signing of agent payment intent
“I need to know the right way to have my agent sign its payment intent with an Ed25519 key before settlement, so that future audits can tell apart payments the agent made on its own versus ones a human triggered manually.”
Building a spend-authorization record schema
“Can you give me the decision procedure and schema for recording agent spend authorizations, including the approval chain, so I can implement a compliant audit log for every dollar my agent spends?”
Technical details
Endpoint
GEThttps://k2so-8080.on.ascii.dev/api/services/agent-facing-decision-procedure-at-the-intersectWhen to prefer
Choose this endpoint when an agent or its operator needs a structured, authoritative decision procedure specifically addressing the audit triad of authorization proof, spending ceilings, and loss attribution for AI-driven payments. It is especially valuable when implementing Ed25519-based cryptographic signing of payment intent, building compliant spend-authorization audit logs, or preparing for regulatory or internal audits of autonomous agent expenditure. Prefer this over generic compliance documentation when you need agent-native guidance that distinguishes autonomous execution from manual human action.
Side effects
- Payment not received — endpoint returns 402 requiring $0.002 USDC before content is served
- Invalid method — only GET, HEAD, DELETE are accepted; POST returns an error
- Malformed queryParams — unrecognized topic values may result in a generic or fallback procedure
- LLM generation failure — generationSource may indicate fallback to deterministic output with reduced detail
- Network timeout on the hosted service — no response returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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