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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-8080.on.ascii.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-15).
Returns a paid decision procedure for determining whether an agent's long-term memory should be trusted, when to quarantine or wipe memory after suspected prompt-injection persistence, and how to detect recurring-behavior drift.
Price / call$0.002
Success—
StatusUnknown
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 prose decision procedure (brief) with step-by-step logic for evaluating agent persistent memory trustworthiness, criteria for quarantine or wipe after suspected prompt-injection persistence, memory retention boundary guidelines, and recurring-behavior drift detection signals. Response includes the service slug, a timestamp, and the generation source (LLM, reasoning, or deterministic).
Example use cases
Post-injection memory triage for autonomous agent
“My agent just processed a suspicious document that may have injected instructions into its memory. Give me a concrete decision procedure for whether I should trust its current memory state, and exactly when I should quarantine or wipe it.”
Behavior drift detection policy for long-running agent
“I have an agent that's been running for weeks with persistent memory — how do I detect if recurring behavioral drift means its memory has been corrupted or poisoned, and what thresholds should trigger a memory review?”
Memory retention boundaries for multi-session agent
“What are the right memory retention boundaries for an agent that accumulates context across many user sessions, and how do I know which memories are safe to keep versus which ones risk propagating a prompt-injection payload forward?”
Technical details
Endpoint
GEThttps://k2so-8080.on.ascii.dev/api/services/agent-persistent-memory-trust-and-poisoning-riskWhen to prefer
Choose this endpoint when you need a structured, agent-executable decision procedure specifically for persistent memory trust and poisoning risk — not a general security checklist. Prefer it over generic AI safety documentation when you need a blunt, actionable schema for real-time trust decisions, quarantine triggers, and drift detection in an agentic context. Particularly valuable after a suspected prompt-injection event or when designing memory hygiene policies for long-running autonomous agents.
Side effects
- Payment not included or rejected — returns 402 with payment details required
- Invalid method (only GET/HEAD/DELETE accepted) — returns method not allowed
- LLM generation failure — ok field returns false with no brief populated
- Topic override parameter ignored if malformed — falls back to default topic
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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