Micro Chemistry Enzyme Kinetics Fit
by Enzyme-kinetics fit in Other
Fit supplied substrate/rate pairs by reciprocal Lineweaver-Burk OLS; report Km, Vmax and residuals. Exposes noise bias; no parameter confidence interval.
https://www.mahastrategies.com/api/v1/micro/chemistry-enzyme-kinetics-fit- Price
- $0.169
- per call in USDC
- Uptime
- 100%
- last 30 days
- Response time
- 358 ms
- 556 ms slowest 5%
- Last check
- Passed
- 2 h ago, next any minute now
Reliability
How to call it
POST https://www.mahastrategies.com/api/v1/micro/chemistry-enzyme-kinetics-fit
Each call costs $0.169 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/micro/chemistry-enzyme-kinetics-fit
content-type: application/json
{
"dataClass": "synthetic",
"substrate": [
1,
2,
4,
8
],
"velocity": [
3.3333333333333335,
5,
6.666666666666667,
8
]
}Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
dataClass | string | Yes | One of: public, synthetic. |
substrate | array | Yes | |
velocity | array | Yes |
Example response
The provider's example. We can't check it without paying.
Example response, 37 lines
{
"amountBaseUnits": "169000",
"boundaries": [
"Public or synthetic inputs only. Caller labels are declarations,…"
],
"inputDigest": "sha256:8987952611c1b0692cfe27c718e5f3b3def1d1dc1fee3415fc68903c2…",
"offerId": "chemistry-enzyme-kinetics-fit",
"receiptDigest": "sha256:918df90db474d104ec62803a9424b408a0cd8cc876fd887274ae8288b…",
"result": {
"findings": {
"Km": 2,
"Vmax": 10,
"method": "Lineweaver-Burk unweighted reciprocal OLS; low-substrate noise a…",
"parameterConfidenceInterval": null,
"residuals": [
0
],
"transformedFit": {
"degreesOfFreedom": 2,
"intercept": 0.1,
"rSquared": 1,
"residualStandardError": 4.38854183572e-17,
"residuals": [
-5.55111512313e-17
],
"slope": 0.2,
"slopeStandardError": 6.54773818076e-17
}
},
"limitations": [
"Public or synthetic research inputs only; no patient, personal g…"
],
"methodVersion": "maha-science50/1.0.0",
"numericPrecision": "IEEE754-double; finite outputs rounded to 12 significant digits"
},
"version": "maha-microproducts/0.1"
}Call it from code
The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.169.
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/micro/chemistry-enzyme-kinetics-fit' \
-H 'content-type: application/json' \
--data-raw '{"dataClass":"synthetic","substrate":[1,2,4,8],"velocity":[3.3333333333333335,5,6.666666666666667,8]}'
# 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/micro/chemistry-enzyme-kinetics-fit' \
-H 'content-type: application/json' \
--data-raw '{"dataClass":"synthetic","substrate":[1,2,4,8],"velocity":[3.3333333333333335,5,6.666666666666667,8]}' \
| grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decodeJavaScript: 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 $0.169 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.169" });
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 $0.169 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fwww.mahastrategies.com%2Fapi%2Fv1%2Fmicro%2Fchemistry-enzyme-kinetics-fit&method=POST
const res = await pay("https://www.mahastrategies.com/api/v1/micro/chemistry-enzyme-kinetics-fit", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
"dataClass": "synthetic",
"substrate": [
1,
2,
4,
8
],
"velocity": [
3.3333333333333335,
5,
6.666666666666667,
8
]
}),
});
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 $0.169 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.169"})
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/micro/chemistry-enzyme-kinetics-fit",
json={
"dataClass": "synthetic",
"substrate": [
1,
2,
4,
8,
],
"velocity": [
3.3333333333333335,
5,
6.666666666666667,
8,
],
},
)
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
| When | Result | HTTP | Time | Price |
|---|---|---|---|---|
| 2 h ago | Passed | 402 | 556 ms | $0.169 |
| 7 h ago | Passed | 402 | 569 ms | $0.169 |
| 11 h ago | Passed | 402 | 327 ms | $0.169 |
| 15 h ago | Passed | 402 | 317 ms | $0.169 |
| 19 h ago | Passed | 402 | 383 ms | $0.169 |
Show 10 older checks
| 23 h ago | Passed | 402 | 372 ms | $0.169 |
| 27 h ago | Passed | 402 | 246 ms | $0.169 |
| 31 h ago | Passed | 402 | 460 ms | $0.169 |
| 35 h ago | Passed | 402 | 264 ms | $0.169 |
| 39 h ago | Passed | 402 | 322 ms | $0.169 |
| 43 h ago | Passed | 402 | 385 ms | $0.169 |
| 46 h ago | Passed | 402 | 331 ms | $0.169 |
| 2 days ago | Passed | 402 | 273 ms | $0.169 |
| 2 days ago | Passed | 402 | 358 ms | $0.169 |
| 2 days ago | Passed | 402 | 473 ms | $0.169 |