{
  "generated_at": "2026-04-24T15:01:35.625676+00:00",
  "slug": "memcache-convrgent-ai-store",
  "title": "Convrgent \u00b7 Store Memory with Embedding",
  "url": "https://memcache.convrgent.ai/store",
  "category": "tools",
  "summary": "Persist agent memory entries with optional semantic embeddings, organized by namespace and key with searchable tags.",
  "seo": {
    "title": "Agent Memory Cache \u2014 $0.001 USDC per Store",
    "description": "Store agent memories with optional semantic embedding. Namespace-scoped key-value storage with tags. Ultra-low cost memory for AI agents on Base."
  },
  "use_cases": [
    "Store agent conversation history with semantic search capability",
    "Cache meeting notes and decisions with embedding for retrieval",
    "Maintain namespaced memory for multi-tenant agent systems"
  ],
  "ideal_buyer": "AI agent developers needing persistent, embeddable memory with ultra-low per-operation cost.",
  "example_prompt": "Store this meeting note 'Q1 budget approved for $50K marketing spend' in namespace 'team-alpha' with key 'budget-meeting-jan' and tags ['budget','q1','marketing'].",
  "example_request_body": {
    "key": "budget-meeting-jan",
    "tags": [
      "budget",
      "q1",
      "marketing"
    ],
    "content": "Q1 budget approved for $50K marketing spend",
    "namespace": "team-alpha"
  },
  "risk_notes": [],
  "pricing_sanity": {
    "flag": "cheap_outlier",
    "ratio": 0.1,
    "median_category_atomic": 10000
  },
  "pricing_review_required": false,
  "pricing_decimal_suspect": false,
  "trust_tier": "indexed_external",
  "accepts": [
    {
      "scheme": "exact",
      "network": "base",
      "pay_to": "0xc5520271e681fca5e7c9a07a1130c3e4bb7b959f",
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "max_amount_required_atomic": "1000",
      "max_timeout_seconds": 120,
      "mime_type": "application/json",
      "description": "Store a memory with optional semantic embedding",
      "verified": false,
      "hints": {
        "input": {
          "key": "meeting-notes-feb",
          "tags": [
            "meeting",
            "q1"
          ],
          "content": "The meeting discussed Q1 OKRs and budget allocation.",
          "namespace": "agent-123"
        },
        "output": {
          "ok": true,
          "key": "meeting-notes-feb",
          "namespace": "agent-123",
          "stored_at": "2026-02-21T10:09:28.117Z",
          "has_embedding": true
        }
      }
    }
  ],
  "origin": {
    "slug": "memcache-convrgent-ai",
    "host": "memcache.convrgent.ai",
    "url": "https://memcache.convrgent.ai"
  },
  "json_ld": {
    "@id": "https://x402all.com/resource/memcache-convrgent-ai-store",
    "url": "https://x402all.com/resource/memcache-convrgent-ai-store",
    "name": "Convrgent \u00b7 Store Memory with Embedding",
    "@type": "WebAPI",
    "offers": {
      "url": "https://x402all.com/resource/memcache-convrgent-ai-store",
      "@type": "Offer",
      "price": "0.001",
      "availability": "https://schema.org/InStock",
      "priceCurrency": "USDC",
      "priceSpecification": {
        "@type": "UnitPriceSpecification",
        "price": "0.001000",
        "unitText": "call",
        "priceCurrency": "USDC"
      },
      "eligibleCustomerType": "Agent",
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "paymentNetwork",
          "value": "base"
        },
        {
          "@type": "PropertyValue",
          "name": "paymentAsset",
          "value": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
        }
      ]
    },
    "sameAs": "https://memcache.convrgent.ai/store",
    "@context": "https://schema.org",
    "provider": {
      "@id": "https://x402all.com/server/memcache-convrgent-ai",
      "url": "https://memcache.convrgent.ai",
      "name": "memcache.convrgent.ai",
      "@type": "Organization"
    },
    "identifier": "memcache-convrgent-ai-store",
    "description": "Store agent memories with optional semantic embedding. Namespace-scoped key-value storage with tags. Ultra-low cost memory for AI agents on Base.",
    "potentialAction": {
      "@type": "BuyAction",
      "target": "https://axon402.com/test-buy?resource=memcache-convrgent-ai-store",
      "description": "Test-buy this endpoint on AXON"
    },
    "applicationCategory": "tools"
  },
  "axon_deep_link": "https://axon402.com/test-buy?resource=memcache-convrgent-ai-store"
}