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Agent Payment Metadata Exposure and Privacy Routing Decision Procedure
x402
Agent Payment Metadata Exposure and Privacy Routing Decision 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 privacy exposure grade and routing verdict for each payment rail, telling an agent whether to pay directly, via session channel, segmented wallet, or escalate to a principal based on what the payment graph reveals.
Price / call$0.002
Success—
StatusUnknown
How this service works
Deterministic decision procedure for how much payment metadata an agent leaks when it pays. Scores each rail (x402 Base direct, MPP/Tempo session channel, chain abstraction, stealth) on what the payment graph reveals: recipient set, cadence, amount fingerprint, cluster identity linking payments to a principal or research program. Returns an exposure grade per rail, routing verdict (direct / session / segmented wallet / escalate-to-principal), and kill criteria: never reuse one wallet across
Output
A structured response containing: an exposure grade per payment rail (x402 Base direct, MPP/Tempo session channel, chain abstraction, stealth), a routing verdict (direct / session / segmented wallet / escalate-to-principal), kill criteria for wallet reuse, and a prose decision brief explaining the reasoning. Also includes generation metadata (timestamp, source, model used).
Example use cases
Stealth vs direct rail privacy comparison
“My agent is about to start paying for data feeds on Base using x402 direct — how exposed is that payment graph, and should I switch to a stealth or session channel rail instead to avoid linking payments back to my research program?”
Preventing wallet clustering across tasks
“I'm running multiple agent tasks that each make x402 payments and I'm worried about wallet clustering — can you give me the exposure grade for each rail and tell me the kill criteria so I know when to stop reusing a wallet?”
Cadence and amount fingerprint risk assessment
“My agent pays a fixed amount to the same recipient every hour on Base — what does that cadence and amount fingerprint reveal about me, and what routing verdict should I follow to reduce that exposure?”
Technical details
Endpoint
GEThttps://k2so-8080.on.ascii.dev/api/services/agent-payment-metadata-privacy-and-exposure-deciWhen to prefer
Choose this endpoint when an AI agent needs a structured, scored decision about payment privacy across multiple rails before executing a transaction — especially when protecting principal identity, avoiding wallet clustering, or assessing cadence fingerprinting risk on Base or other x402-compatible rails. Prefer this over general privacy advisories when you need a machine-readable routing verdict with explicit kill criteria.
Side effects
- Missing or invalid 'type' or 'method' fields in input returns a schema validation error
- Payment not received results in a 402 response requiring 0.002 USDC before content is returned
- Invalid topic override may return a generic default procedure rather than a tailored one
- LLM-generated briefs may be non-deterministic if generationSource is 'llm' rather than 'deterministic'
- Service may return ok:false with a handler error if the backend reasoning engine fails
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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