Private long-term vector memory for an agent
Private long-term vector memory for an agent: upsert up to 100 texts with metadata (we embed them, multilingual), then search by meaning. Keyed to the paying wallet. from $0.004 per upsert batch (by size), $0.003 per query or delete. Also callable as GET with the same fields as query parameters.
Not tested: has real-world effectsour last check, 2026-10-18
0 of 0checks answered this week
n/amedian answer time
$0.003listed price per call
n/aprice it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://agentrxi.com/v1/vectors
| Category | Market data |
|---|---|
| Provider host | agentrxi.com |
| Networks | eip155:137, eip155:42161, eip155:480, eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 2 from 2 payers (the provider's figure, not ours) |
Our checks, last 30 days
We never call tools that send, buy, move money or file anything, not even without paying.
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"action": "query",
"query": "what did the customer say about pricing?"
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"action": {
"description": "upsert, query (default), delete",
"type": "string"
},
"ids": {
"description": "For delete",
"type": "string"
},
"items": {
"description": "[{id, text, metadata}]; separate items with |",
"type": "string"
},
"query": {
"type": "string"
},
"top_k": {
"type": "integer"
}
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}