MemoryAPI Document Upload is a paid API for AI agents from api.memoryapi.org, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Uploads a document (e.g. PDF) to MemoryAPI for persistent semantic storage and later searchable retrieval, returning a document ID and chunk count.
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 confirming success, the assigned document UUID, the original filename, and the number of semantic chunks the document was split into (e.g. {success: true, document: {id: 'uuid', filename: 'contract.pdf', chunk_count: 12}}).
POSThttps://api.memoryapi.org/x402/docs/uploadUse this endpoint when an AI agent needs to persist a document into MemoryAPI's semantic index so it can be searched or retrieved later via natural language queries. Prefer this over generic file storage when the goal is downstream semantic search or RAG-style retrieval within the MemoryAPI ecosystem. Best for agents that pay per query in USDC on Base mainnet via the x402 protocol and need MCP-compatible persistent memory.
| Field | Type | Description |
|---|---|---|
| input | — |
{
"example": {
"success": true,
"document": {
"id": "uuid",
"filename": "contract.pdf",
"chunk_count": 12
}
}
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