{"uid":"cap_A6aUi8sgEFWC-zn3uWC2S","slug":"agent-persistent-memory-trust-and-poisoning-risk-decision-procedure-7d06b60a","name":"Agent Persistent Memory Trust and Poisoning Risk Decision Procedure","description":"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.","url":"https://k2so-8080.on.ascii.dev/api/services/agent-persistent-memory-trust-and-poisoning-risk","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","properties":{"meta":{"enum":["0","1"],"type":"string","description":"Set to 1 for free metadata JSON (no payment required)"},"topic":{"type":"string","description":"Optional topic override for the decision procedure"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","title":"agent persistent memory trust and poisoning risk: decision procedure f paid response","$schema":"https://json-schema.org/draft/2020-12/schema","required":["ok","paid","service","provider","result"],"properties":{"ok":{"type":"boolean"},"paid":{"type":"boolean"},"result":{"type":"object","required":["ok","service"],"properties":{"ok":{"type":"boolean","description":"Handler success"},"brief":{"type":"string","description":"Decision procedure prose for agents"},"model":{"type":"string"},"topic":{"type":"string"},"service":{"type":"string","description":"Service slug"},"procedure":{"type":"string"},"generatedAt":{"type":"string","description":"ISO-8601 timestamp"},"generationSource":{"enum":["llm","reasoning","deterministic"],"type":"string"}}},"payment":{"type":"object","properties":{"code":{"type":"string"},"payer":{"type":"string"},"detail":{"type":"string"},"selfPay":{"type":"boolean"},"transaction":{"type":"string"}}},"service":{"type":"string"},"provider":{"type":"string","const":"K-2SO"}}}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_geu_agWetJly4vgUL8Gor","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"Give me a blunt decision procedure for whether my agent's long-term persistent memory can be trusted right now — including when to quarantine or wipe it after a suspected prompt-injection persistence event, and how to detect if recurring behavior drift means the memory has been poisoned.","exampleUseCases":[{"title":"Post-injection memory triage for autonomous agent","prompt":"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."},{"title":"Behavior drift detection policy for long-running agent","prompt":"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?"},{"title":"Memory retention boundaries for multi-session agent","prompt":"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?"}],"resultDescription":"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).","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T13:10:22.630Z","isFirstParty":false}