78trust / 100

Neural Dwell Release

by Paired dwell and release replay in Other

x402 APIPassing, checked 3 h ago

Paired finite-state replay of onset/dwell and hysteretic release settings over at most 512 labelled offline scores. Timers and state carry across contiguous trials. At equal timestamps score changes precede timers; no event fires at the final endpoint. Reports paired false-event, miss and latency metrics. No hardware or live control. New modular adapter: retained result recovery for 24 hours, minimal receipt metadata for 90 days. Existing live route unchanged.

POST
https://www.mahastrategies.com/api/v1/compute/neural/dwell-release
Price
$0.1
per call in USDC
Uptime
100%
last 30 days
Response time
216 ms
496 ms slowest 5%
Last check
Passed
3 h 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/compute/neural/dwell-release

Each call costs $0.100009 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/compute/neural/dwell-release
content-type: application/json

{
  "a": {
    "dwellMs": 20,
    "onsetThreshold": "0.7",
    "releaseMs": 10,
    "releaseThreshold": "0.3"
  },
  "b": {
    "dwellMs": 60,
    "onsetThreshold": "0.7",
    "releaseMs": 20,
    "releaseThreshold": "0.3"
  },
  "dataClass": "synthetic",
  "evaluationSplit": "declared-held-out-offline",
  "scoreUnits": "unit-interval",
  "trials": [
    {
      "endMs": 100,
      "label": "rest",
      "points": [
        {
          "score": "0.1",
          "timeMs": 0
        },
        {
          "score": "0.8",
          "timeMs": 50
        }
      ],
      "startMs": 0
    },
    {
      "endMs": 200,
      "label": "intention",
      "points": [
        {
          "score": "0.8",
          "timeMs": 100
        },
        {
          "score": "0.2",
          "timeMs": 150
        }
      ],
      "startMs": 100
    }
  ]
}

Parameters

ParameterTypeRequiredDescription
aobjectYes
bobjectYes
dataClassstringYes One of: public, synthetic.
evaluationSplitstringYes One of: declared-held-out-offline.
scoreUnitsstringYes One of: unit-interval.
trialsarrayYes

Example response

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

Example response, 69 lines
{
  "data": {
    "chargedAmount": "100009",
    "inputHash": "sha256:dbd5e755536f1c88fbbb44c92088d0db8f0f2e96f2f91f4f9f192650d…",
    "limitations": [
      "Public or synthetic inputs only. Caller labels are declarations,…"
    ],
    "productId": "dwell-release-comparison",
    "result": {
      "a": {
        "events": [
          {
            "timeMs": 70,
            "type": "onset"
          }
        ],
        "finalState": "idle",
        "intentionTrials": 1,
        "latencyByIntentionMs": [
          0
        ],
        "meanLatencyMs": "0",
        "missedIntentionTrials": 0,
        "pendingSinceMs": null,
        "restActiveMs": 30,
        "restFalseEvents": 1
      },
      "b": {
        "events": [
          {
            "timeMs": 110,
            "type": "onset"
          }
        ],
        "finalState": "idle",
        "intentionTrials": 1,
        "latencyByIntentionMs": [
          10
        ],
        "meanLatencyMs": "10",
        "missedIntentionTrials": 0,
        "pendingSinceMs": null,
        "restActiveMs": 0,
        "restFalseEvents": 0
      },
      "dataClass": "synthetic",
      "deltaBMinusA": {
        "meanPairedDetectedLatencyDeltaMs": "10",
        "missedIntentionTrials": 0,
        "pairedLatencyDeltaByIntentionMs": [
          10
        ],
        "restActiveMs": -30,
        "restFalseEvents": -1
      },
      "hardwareControlled": false,
      "heldOutVerified": false,
      "liveControl": false,
      "semantics": "zero-order-hold; continuous-timers; updates-before-equal-time-ti…"
    },
    "resultHash": "sha256:7fdd1a0a71a584f4186b6a3e153d412240e2f620e338c392ebd268291…",
    "sourceContractAmount": "96000",
    "version": "maha-legacy-adapter/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 $0.100009.

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/compute/neural/dwell-release' \
  -H 'content-type: application/json' \
  --data-raw '{"a":{"dwellMs":20,"onsetThreshold":"0.7","releaseMs":10,"releaseThreshold":"0.3"},"b":{"dwellMs":60,"onsetThreshold":"0.7","releaseMs":20,"releaseThreshold":"0.3"},"dataClass":"synthetic","evaluationSplit":"declared-held-out-offline","scoreUnits":"unit-interval","trials":[{"endMs":100,"label":"rest","points":[{"score":"0.1","timeMs":0},{"score":"0.8","timeMs":50}],"startMs":0},{"endMs":200,"label":"intention","points":[{"score":"0.8","timeMs":100},{"score":"0.2","timeMs":150}],"startMs":100}]}'

# 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/compute/neural/dwell-release' \
  -H 'content-type: application/json' \
  --data-raw '{"a":{"dwellMs":20,"onsetThreshold":"0.7","releaseMs":10,"releaseThreshold":"0.3"},"b":{"dwellMs":60,"onsetThreshold":"0.7","releaseMs":20,"releaseThreshold":"0.3"},"dataClass":"synthetic","evaluationSplit":"declared-held-out-offline","scoreUnits":"unit-interval","trials":[{"endMs":100,"label":"rest","points":[{"score":"0.1","timeMs":0},{"score":"0.8","timeMs":50}],"startMs":0},{"endMs":200,"label":"intention","points":[{"score":"0.8","timeMs":100},{"score":"0.2","timeMs":150}],"startMs":100}]}' \
  | 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 $0.100009 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.100009" });
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 $0.100009 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fwww.mahastrategies.com%2Fapi%2Fv1%2Fcompute%2Fneural%2Fdwell-release&method=POST
const res = await pay("https://www.mahastrategies.com/api/v1/compute/neural/dwell-release", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "a": {
      "dwellMs": 20,
      "onsetThreshold": "0.7",
      "releaseMs": 10,
      "releaseThreshold": "0.3"
    },
    "b": {
      "dwellMs": 60,
      "onsetThreshold": "0.7",
      "releaseMs": 20,
      "releaseThreshold": "0.3"
    },
    "dataClass": "synthetic",
    "evaluationSplit": "declared-held-out-offline",
    "scoreUnits": "unit-interval",
    "trials": [
      {
        "endMs": 100,
        "label": "rest",
        "points": [
          {
            "score": "0.1",
            "timeMs": 0
          },
          {
            "score": "0.8",
            "timeMs": 50
          }
        ],
        "startMs": 0
      },
      {
        "endMs": 200,
        "label": "intention",
        "points": [
          {
            "score": "0.8",
            "timeMs": 100
          },
          {
            "score": "0.2",
            "timeMs": 150
          }
        ],
        "startMs": 100
      }
    ]
  }),
});
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 $0.100009 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.100009"})
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/compute/neural/dwell-release",
        json={
            "a": {
                "dwellMs": 20,
                "onsetThreshold": "0.7",
                "releaseMs": 10,
                "releaseThreshold": "0.3",
            },
            "b": {
                "dwellMs": 60,
                "onsetThreshold": "0.7",
                "releaseMs": 20,
                "releaseThreshold": "0.3",
            },
            "dataClass": "synthetic",
            "evaluationSplit": "declared-held-out-offline",
            "scoreUnits": "unit-interval",
            "trials": [
                {
                    "endMs": 100,
                    "label": "rest",
                    "points": [
                        {
                            "score": "0.1",
                            "timeMs": 0,
                        },
                        {
                            "score": "0.8",
                            "timeMs": 50,
                        },
                    ],
                    "startMs": 0,
                },
                {
                    "endMs": 200,
                    "label": "intention",
                    "points": [
                        {
                            "score": "0.8",
                            "timeMs": 100,
                        },
                        {
                            "score": "0.2",
                            "timeMs": 150,
                        },
                    ],
                    "startMs": 100,
                },
            ],
        },
    )
    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
3 h agoPassed402207 ms$0.1
8 h agoPassed402277 ms$0.1
13 h agoPassed402217 ms$0.1
17 h agoPassed402216 ms$0.1
22 h agoPassed402187 ms$0.1
Show 3 older checks
27 h agoPassed402229 ms$0.1
31 h agoPassed402496 ms$0.1
35 h agoPassed402188 ms$0.1