MemoryAPI Semantic Document Query is a paid API for AI agents from api.memoryapi.org, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Performs a semantic similarity search over stored documents, returning the most relevant content chunks with similarity scores
x402-powered APIs for AI agents: persistent semantic memory, document search, and translation. Pay per query in USDC on Base mainnet. MCP compatible.
Returns a JSON object with a success flag, the count of results found, and an array of result objects each containing the matched document content and a floating-point similarity score (e.g. 0.88). Payment is per-query at $0.01 USDC on Base mainnet via x402.
GEThttps://api.memoryapi.org/x402/docs/queryChoose this endpoint when you need semantic (meaning-based) similarity search over a persistent document store rather than exact keyword matching. Ideal for AI agents that maintain a memory layer and need to retrieve contextually relevant stored content on demand. Best suited for per-query pay-as-you-go usage via x402/USDC rather than a subscription-based vector database service.
| Field | Type | Description |
|---|---|---|
| input | — |
{
"example": {
"count": 1,
"results": [
{
"content": "Payment is due net 30",
"similarity": 0.88
}
],
"success": true
}
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