{"uid":"cap_okMd66FSfIb0sFbmJJWKg","slug":"agent-persistent-memory-trust-and-poisoning-risk-decision-procedure-82a1b36d","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.wrong.systems/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":"down","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_U0Ca3AuuGV6nDBSXA9DW-","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 LLM-generated decision procedure brief for AI agents evaluating how to trust, manage, and protect their persistent memory from poisoning attacks","exampleAgentPrompt":"Give me a decision procedure for evaluating whether my agent's persistent memory can be trusted and what steps to take if I suspect memory poisoning.","exampleUseCases":[{"title":"Memory integrity audit before high-stakes action","prompt":"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."},{"title":"Onboarding security policy for agent fleet","prompt":"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?"},{"title":"Post-incident memory trust recovery","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T15:26:47.470Z","isFirstParty":false}