{"uid":"cap_02h0qnhAy61Ha-qtbelY7","slug":"idapixl-cortex-773e1fd8","name":"Idapixl Cortex","description":"Cognitive infrastructure for AI agents. Semantic deduplication, novelty detection, and belief consistency checking powered by a persistent memory graph. Pay with USDC via x402 micropayments on Base.","url":"https://idapixl.com/tools","method":"POST","headers":{},"bodySchema":null,"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"unprobed","priceSource":"unknown","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":"free","summary":"Free","primary":null,"accepted":[]},"paymentMethods":[],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Provides cognitive infrastructure for AI agents including semantic deduplication, novelty detection, and belief consistency checking via a persistent memory graph.","exampleAgentPrompt":"Check my agent's persistent memory graph to see if the claim 'OpenAI was founded in 2015' is novel, already stored, or contradicts any existing beliefs — and flag any inconsistencies.","exampleUseCases":[{"title":"Prevent duplicate knowledge in research assistant","prompt":"Before storing this research finding about photosynthesis mechanisms in my agent's memory, check if it's new information or if we already have something similar stored. Flag any contradictions with our existing plant biology knowledge."},{"title":"Validate consistency across customer support agent","prompt":"My agent just learned that this customer prefers email communication, but we have a note saying they prefer phone calls. Check the memory graph for this contradiction and tell me if these beliefs can coexist or if one needs updating."},{"title":"Deduplicate facts in historical knowledge base","prompt":"I'm bulk-importing facts about World War II into my agent's memory. Scan these entries for semantic duplicates and let me know which ones we can skip storing to keep the memory graph clean and non-redundant."}],"resultDescription":"Returns whether the input content is a duplicate of existing memory, a novelty score indicating how new the information is, and a belief consistency report flagging any contradictions with previously stored knowledge in the agent's memory graph.","failureModes":["Memory graph not initialized — agent must establish a session before querying","Input content too ambiguous for semantic matching — returns low-confidence novelty score","Contradiction detection may produce false positives on semantically similar but logically distinct claims","Rate limiting or micropayment failure via x402 on Base network","Empty or malformed belief statement returns validation error"],"whenToPreferThis":"Choose this endpoint when your AI agent needs to maintain a coherent, non-redundant long-term memory — especially when ingesting new information that may overlap or conflict with prior knowledge. Ideal for agents that accumulate facts over time and need to avoid belief drift or duplicate storage. Prefer this over generic vector stores when semantic deduplication and logical consistency checking are both required in a single call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T06:38:33.693Z","isFirstParty":false}