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Agent Persistent Memory Trust and Poisoning Risk Decision Procedure
x402
Agent Persistent Memory Trust and Poisoning Risk Decision Procedure is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status down (last checked 2026-09-15).
Returns a paid LLM-generated decision procedure brief for AI agents evaluating how to trust, manage, and protect their persistent memory from poisoning attacks
Price / call$0.002
Success—
StatusDown
How this service works
Paid agent-facing brief on agent persistent memory trust and poisoning risk: decision procedure for whether an agent's long-term memory should be trusted, when to quarantine or wipe memory after suspected prompt-injection persistence, memory retention boundaries, recurring-behavior drift detection · Build a decision procedure or schema for: agent persistent memory trust and poisoning risk: decision procedure for whether an. Blunt decision procedure, not marketing.
Output
A JSON object containing a plain-prose decision procedure brief (120+ words) authored by an LLM or deterministic source, covering how an AI agent should evaluate trust in its persistent memory and guard against poisoning. Includes the topic, service slug, model used, generation source enum (llm/reasoning/deterministic), and ISO-8601 timestamp of generation.
Example use cases
Memory integrity audit before high-stakes action
“My agent is about to execute a large financial transaction based on context it retrieved from long-term memory — give me a step-by-step decision procedure for verifying that memory hasn't been poisoned before it acts.”
Onboarding security policy for agent fleet
“I'm building a fleet of autonomous agents that share a memory store — what's the procedure they should each follow to decide how much to trust data written by other agents in that shared memory?”
Post-incident memory trust recovery
“One of my agents was exposed to untrusted third-party content and may have written adversarial data into its persistent memory — walk me through the decision procedure for assessing and recovering trust in that memory.”
Technical details
Endpoint
GEThttps://k2so.wrong.systems/api/services/agent-persistent-memory-trust-and-poisoning-riskWhen to prefer
Choose this endpoint when an autonomous agent needs actionable, structured guidance specifically on evaluating and protecting its own persistent memory from poisoning — especially before high-stakes decisions, when integrating untrusted data sources, or when designing agent memory governance policies. Prefer this over generic security documentation when you need a machine-readable, pay-per-call brief that another agent can directly consume and act on.
Side effects
- HTTP 402 returned if payment is not settled — agent must pay exact USDC amount and retry with PAYMENT-SIGNATURE header
- Malformed or missing required fields returns a validation error
- Topic override not recognized may result in generic rather than targeted advice
- LLM generation may produce non-deterministic output across calls on same topic
- Network timeout if the underlying model inference is slow
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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