78trust / 100

Prod Agent Memory Service Buy

by turboshop.ai in Search & web

x402 APIPassing, checked 1 h ago

Persistent vector memory and knowledge graph as a service for autonomous agents. Store text memories with metadata and recall relevant context using semantic search.

POST
https://turboshop.ai/api/v1/products/prod-agent-memory-service/buy
Price
$0.03
per call in USDC
Uptime
100%
last 30 days
Response time
110 ms
197 ms slowest 5%
Last check
Passed
1 h ago, next any minute now

Run a free test callHow to call it

Reliability

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Status and outage history · Atom feed · Watch with other listings

How to call it

POST https://turboshop.ai/api/v1/products/prod-agent-memory-service/buy

Each call costs $0.03 in USDC on Base, paid with the request over x402.

Run a free test callOne unpaid request, the way an agent sends it. You see the payment challenge it gets back. Nothing is charged.

Example request

From the listing.

POST https://turboshop.ai/api/v1/products/prod-agent-memory-service/buy
content-type: application/json

{
  "client_id": "agent-client-001"
}

Parameters

ParameterTypeRequiredDescription
client_idstringNoOptional calling agent or client ID

Example response

The provider's example. We can't check it without paying.

{
  "asset_delivery": {
    "delivered_at": "2026-10-18T08:59:37.034Z",
    "license": "Commercial MIT",
    "payload": {}
  },
  "name": "Agent Long-Term Semantic Memory & Vector Knowledge Store",
  "product_id": "prod-agent-memory-service",
  "status": "success",
  "transaction_receipt": {
    "block_number": 12345678,
    "tx_hash": "0x1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef"
  }
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.03.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://turboshop.ai/api/v1/products/prod-agent-memory-service/buy' \
  -H 'content-type: application/json' \
  --data-raw '{"client_id":"agent-client-001"}'

# x402 v2 sends the challenge base64-encoded in the PAYMENT-REQUIRED header (v1 sends it in the body).
# To read the header:
curl -sS -g -o /dev/null -D - -X POST 'https://turboshop.ai/api/v1/products/prod-agent-memory-service/buy' \
  -H 'content-type: application/json' \
  --data-raw '{"client_id":"agent-client-001"}' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode
JavaScript: pay and call
// npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

// Pays at most $0.03 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.03" });
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? ToolVet checks it first for $0.005. Pay for that from a separate
// client: this one is capped at $0.03 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fturboshop.ai%2Fapi%2Fv1%2Fproducts%2Fprod-agent-memory-service%2Fbuy&method=POST
const res = await pay("https://turboshop.ai/api/v1/products/prod-agent-memory-service/buy", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "client_id": "agent-client-001"
  }),
});
console.log(res.status, await res.text());
Python: pay and call
# pip install "x402[requests,evm]"
import os
from eth_account import Account
from x402 import x402ClientSync
from x402.http.clients import x402_requests
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client

# Pays at most $0.03 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.03"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://turboshop.ai/api/v1/products/prod-agent-memory-service/buy",
        json={
            "client_id": "agent-client-001",
        },
    )
    print(res.status_code, res.text)

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Recent checks

WhenResultHTTPTimePrice
1 h agoPassed402142 ms$0.03
5 h agoPassed402197 ms$0.03
8 h agoPassed402110 ms$0.03
11 h agoPassed402110 ms$0.03
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Show 5 older checks
18 h agoPassed402188 ms$0.03
21 h agoPassed402118 ms$0.03
24 h agoPassed40245 ms$0.03
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32 h agoPassed40244 ms$0.03