78trust / 100

Study Notes Scope Boundary Audit

by Study Notes - Scope boundary aud in Security & trust

x402 APIPassing, checked 46 min ago

Filter note metadata by exact notebook and allowed claim-kind declarations before selection. No inferred truth, learner profile or claim completeness. Offline typed nonpersonal metadata only. Result retention: 24 hours; minimal receipt metadata: 90 days.

POST
https://www.mahastrategies.com/api/v1/context/study-notes/scope-boundary-audit
Price
$0.038
per call in USDC
Uptime
100%
last 30 days
Response time
236 ms
282 ms slowest 5%
Last check
Passed
46 min ago, next any minute now

Run a free test callHow to call it

Reliability

All checks passedSome failedAll failedNot checked

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

How to call it

POST https://www.mahastrategies.com/api/v1/context/study-notes/scope-boundary-audit

Each call costs $0.038296 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://www.mahastrategies.com/api/v1/context/study-notes/scope-boundary-audit
content-type: application/json

{
  "allowedKinds": [
    "quotation"
  ],
  "dataClass": "synthetic",
  "nonpersonalMetadata": true,
  "notebookId": "b1",
  "notes": [
    {
      "claimKind": "quotation",
      "id": "n1",
      "notebookId": "b1"
    }
  ]
}

Parameters

ParameterTypeRequiredDescription
allowedKindsarrayYes
dataClassstringYes One of: public, synthetic.
nonpersonalMetadatabooleanYes
notebookIdstringYes
notesarrayYes

Example response

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

Example response, 29 lines
{
  "data": {
    "chargedAmount": "38296",
    "inputHash": "sha256:7b7a7841c1ae8bfc4719b0eb353fd3bcb4aa7faf02f964e7e30ba738f…",
    "limitations": [
      "Public or synthetic nonpersonal metadata only; these are caller …"
    ],
    "productId": "study-notes-scope-boundary-audit",
    "result": {
      "authoritativeSourcesConsulted": false,
      "domainValidationEstablished": false,
      "findings": [],
      "method": "study-notes-scope-boundary-audit/1",
      "metrics": [
        {
          "key": "in-scope-notes",
          "recordId": "notebook",
          "value": "1"
        }
      ]
    },
    "resultHash": "sha256:f4e28f4bc57c3ce296bd9e9b1382ff2ee561f145869c680cfbf4b8797…",
    "version": "maha-typed-metadata-audit/1"
  },
  "proof": {
    "settlement_id": "0x00000000000000000000000000000000000000000000000000000000000000…"
  },
  "success": true
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.038296.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://www.mahastrategies.com/api/v1/context/study-notes/scope-boundary-audit' \
  -H 'content-type: application/json' \
  --data-raw '{"allowedKinds":["quotation"],"dataClass":"synthetic","nonpersonalMetadata":true,"notebookId":"b1","notes":[{"claimKind":"quotation","id":"n1","notebookId":"b1"}]}'

# 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://www.mahastrategies.com/api/v1/context/study-notes/scope-boundary-audit' \
  -H 'content-type: application/json' \
  --data-raw '{"allowedKinds":["quotation"],"dataClass":"synthetic","nonpersonalMetadata":true,"notebookId":"b1","notes":[{"claimKind":"quotation","id":"n1","notebookId":"b1"}]}' \
  | 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 $0.038296 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.038296" });
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 $0.038296 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fwww.mahastrategies.com%2Fapi%2Fv1%2Fcontext%2Fstudy-notes%2Fscope-boundary-audit&method=POST
const res = await pay("https://www.mahastrategies.com/api/v1/context/study-notes/scope-boundary-audit", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "allowedKinds": [
      "quotation"
    ],
    "dataClass": "synthetic",
    "nonpersonalMetadata": true,
    "notebookId": "b1",
    "notes": [
      {
        "claimKind": "quotation",
        "id": "n1",
        "notebookId": "b1"
      }
    ]
  }),
});
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 $0.038296 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.038296"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://www.mahastrategies.com/api/v1/context/study-notes/scope-boundary-audit",
        json={
            "allowedKinds": [
                "quotation",
            ],
            "dataClass": "synthetic",
            "nonpersonalMetadata": True,
            "notebookId": "b1",
            "notes": [
                {
                    "claimKind": "quotation",
                    "id": "n1",
                    "notebookId": "b1",
                },
            ],
        },
    )
    print(res.status_code, res.text)

Security scan

No findings

We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTimePrice
46 min agoPassed402203 ms$0.038
5 h agoPassed402282 ms$0.038
10 h agoPassed402236 ms$0.038
19 h agoPassed402243 ms$0.038