{"uid":"cap_xUh-jgJ-P1NIaTxeXxVg1","slug":"manylives-vector-memory-add-da05cd5d","name":"ManyLives Vector Memory Add","description":"Pay-per-call tools for people building AI agents: live web search and page contents, point-in-time crypto market data and news for backtests (no lookahead), verifiable track records of 1,000 crypto strategies locked on the Base network, company profiles, quick AI and batch prices. Ask us to turn a public website into a JSON endpoint. Pay per call, no account, free trial.","url":"https://api.manylives.me/paid/memory/vector-add?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"items":{"type":"string","examples":[[{"id":"note-1","meta":{"source":"email"},"text":"Supplier B quoted the lowest price for 500 units."}]],"description":"array of {text (required, max 4,000 chars), id (optional, reuse to update), meta (optional JSON)}"},"namespace":{"type":"string","description":"optional group name (default 'default')"}}},"responseSchema":{"type":"json","example":{"ids":["note-1","v_k3m8q2r7t9w4"],"limit":2000,"stored":2,"namespace":"default","items_in_wallet":2}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.003","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":"$0.003/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_m7xsRGYwUDfRblWkf_KFb","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.003","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Stores text items with optional metadata into a named vector memory namespace for later semantic retrieval by AI agents","exampleAgentPrompt":"Save this note to my agent's vector memory under the namespace 'research': 'Supplier B quoted the lowest price for 500 units.' — tag it with source 'email' and ID 'note-1' so I can update it later.","exampleUseCases":[{"title":"Trading agent research memory","prompt":"Add this to my trading agent's memory in the 'market-analysis' namespace: 'BTC dominance broke above 55% on high volume, historically precedes altcoin pullback.' Tag it with source 'on-chain' and ID 'btc-dom-note-2024'."},{"title":"Supplier negotiation notes store","prompt":"Store these three supplier quotes in my vector memory under the namespace 'procurement': first, ID 'sup-a': 'Supplier A quoted $12 per unit for 1000 units, net 30 terms'; second, ID 'sup-b': 'Supplier B quoted $10.50 per unit, requires prepayment'; third, ID 'sup-c': 'Supplier C offered volume discounts above 2000 units'."},{"title":"Agent observation logging","prompt":"My agent just observed something important — save it to the 'agent-logs' namespace: 'User expressed strong risk aversion during portfolio review, prefers max 5% drawdown strategies.' Use ID 'obs-risk-001' and tag it with source 'conversation'."}],"resultDescription":"Returns a JSON object with the list of stored item IDs (including auto-generated ones for items without an explicit ID), total items stored in this call, total items in the wallet/namespace, the namespace name, and the storage limit (max 2,000 items).","failureModes":["Text exceeds 4,000 character limit per item — request rejected","Namespace not found or invalid — defaults to 'default' namespace","Storage limit of 2,000 items reached — further adds rejected","Payment not included or insufficient USDC — 402 response returned","Malformed items array — 400 validation error","Item ID collision with incompatible schema — upsert may overwrite existing item"],"whenToPreferThis":"Use this endpoint when an AI agent needs persistent, semantically searchable memory across sessions — especially for trading agents building up notes, observations, or research over time. Prefer this over plain key-value stores when the content will later be retrieved by semantic similarity rather than exact key lookup. Ideal for agents that need to accumulate knowledge incrementally and upsert entries by ID without duplicating data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T12:42:13.998Z","isFirstParty":false,"canonicalSlug":"manylives-vector-memory-add-da05cd5d"}