{"uid":"cap_1aEIyCQsdD_7i3l_iYzQk","slug":"recallmax-mcp-agentic-endpoint-025cf960","name":"RecallMax MCP Agentic Endpoint","description":"The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.","url":"https://api.m2mcent.com/recallmax-mcp/api/process?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_lyh0yIPw3SuS4Shl2qEhL","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Processes data through the RecallMax memory/recall augmentation service for AI agents via a paid MCP-compatible API","exampleAgentPrompt":"Run this text through RecallMax to retrieve any recalled or stored context associated with it: 'project alpha meeting notes from last quarter'.","exampleUseCases":[{"title":"Agent session context recall","prompt":"Use RecallMax to process this session data and pull back any previously recalled context associated with it: 'user-session-id-7842 preferences and history'."},{"title":"Knowledge retrieval for document","prompt":"Send this document excerpt through RecallMax and get back any relevant recalled information: 'quarterly revenue targets and KPIs discussed in the board meeting'."},{"title":"Memory augmentation for conversation","prompt":"I need RecallMax to process this conversation snippet and return recalled context: 'the user mentioned their preferred communication style is async email over Slack'."}],"resultDescription":"Returns a processed response string containing recalled or augmented information derived from the input data, surfaced through the RecallMax MCP service.","failureModes":["Empty or malformed 'data' field returns a processing error","Payment failure (402) if USDC balance is insufficient","Timeout if input data is excessively large","Unknown recall context returns empty or null result","Service unavailability returns 5xx error"],"whenToPreferThis":"Choose this endpoint when your AI agent needs to augment its memory or recall previously processed information using the RecallMax MCP service, especially in agentic workflows requiring persistent context retrieval at low per-call cost ($0.05 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T12:51:37.711Z","isFirstParty":false,"canonicalSlug":"recallmax-mcp-agentic-endpoint-025cf960"}