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ManyLives Vector Memory Search
x402
ManyLives Vector Memory Search is a paid API for AI agents from api.manylives.me, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-10).
Performs semantic vector search (or deletion) over an AI agent's private memory store, returning the most relevant stored text chunks for a given query.
Price / call$0.003
Success—
StatusUnknown
How this service works
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.
Output
Returns a JSON object with the original query, the namespace searched, and an array of up to top_k matching results — each with a unique ID, similarity score (0–1), the stored text, and any metadata (e.g. source tag) attached when the memory was saved.
Example use cases
Recall cheapest supplier from memory
“Search my stored notes for which supplier offered the lowest price — look in the 'procurement' namespace and give me the top 3 results.”
Retrieve past trading decisions
“Look through my agent's memory in the 'trading' namespace and find the entries most relevant to 'why did we exit the BTC position in March' — return the top 5 matches.”
Clean up stale memory entries
“Delete the memory entries with IDs ['note-42', 'note-77', 'note-99'] from my agent's default namespace.”
Technical details
Endpoint
POSThttps://api.manylives.me/paid/memory/vector-search?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to retrieve semantically relevant memories or stored knowledge from a private vector store, especially within the ManyLives pay-per-call ecosystem. Prefer it over keyword search when meaning matters more than exact wording, or when you need to manage (delete) specific stored entries by ID. It is well-suited for agentic workflows where context persistence across sessions is needed without standing up your own vector database.
Side effects
- Missing query and no delete_ids provided — returns error requiring at least one
- top_k out of range (must be 1–20) — returns validation error
- Namespace does not exist or is empty — returns empty results array
- Invalid delete_ids format (not an array) — returns parsing error
- Payment not included or insufficient — returns 402 Payment Required
- Network timeout on large namespaces
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | what to look for (required unless delete_ids) |
| top_k | string | optional 1-20 (default 5) |
| namespace | string | optional (default 'default') |
| delete_ids | string | optional array of ids to delete instead of searching |
Output
Schema · Response
{
"type": "json",
"example": {
"query": "which supplier was cheapest?",
"results": [
{
"id": "note-1",
"meta": {
"source": "email"
},
"text": "Supplier B quoted the lowest price for 500 units.",
"score": 0.82
}
],
"namespace": "default"
}
}Tags
x402
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