Propagate declared correlated measurement uncertainty for 1-8 sensitivities using c-transp
Propagate declared correlated measurement uncertainty for 1-8 sensitivities using c-transpose C c. Requires exact symmetric positive-semidefinite covariance; returns exact variance and a rational square-root enclosure. First-order only; no empirical covariance validation.
13000 (raw units)
price
1
calls / 30d
1
unique payers
2026-09-13
updated
Provider
www.mahastrategies.com · discovered, not yet claimed by its owner
Payment (x402 accepts[])
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0xec84c1cd6602bbe387bc8e6f0d3c062f2762de28",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "13000",
"maxTimeoutSeconds": 60
}
]Output schema
{
"bazaar": {
"info": {
"input": {
"body": {
"covariance": [
[
"4",
"1"
],
[
"1",
"9"
]
],
"dataClass": "synthetic",
"outputUnit": "m",
"sensitivities": [
"1",
"2"
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"amountBaseUnits": "13000",
"boundaries": [
"Public or synthetic inputs only. Caller labels are declarations,…"
],
"inputDigest": "sha256:96cce62ef3f856719b0572691394b65e6702d277e2b63694e2338dd9b…",
"offerId": "covariance-uncertainty",
"receiptDigest": "sha256:eccd881b26d295578f95ecf0c2319f2173453391bb68a138185a50a5f…",
"result": {
"covariancePositiveSemidefinite": true,
"inputEstimatesVerified": false,
"model": "first-order-sensitivity-propagation",
"outputUnit": "m",
"standardUncertainty": {
"lower": {
"denominator": "50000000",
"numerator": "331662479"
},
"upper": {
"denominator": "1000000000",
"numerator": "6633249581"
}
},
"variance": {
"denominator": "1",
"numerator": "44"
}
},
"version": "maha-microproducts/0.1"
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"covariance": {
"maxItems": 8,
"minItems": 1,
"type": "array"
},
"dataClass": {
"enum": [
"public",
"synthetic"
],
"type": "string"
},
"outputUnit": {
"maxLength": 32,
"minLength": 1,
"type": "string"
},
"sensitivities": {
"maxItems": 8,
"minItems": 1,
"type": "array"
}
},
"required": [
"dataClass",
"sensitivities",
"covariance",
"outputUnit"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"additionalProperties": false,
"properties": {
"amountBaseUnits": {
"enum": [
"13000"
],
"type": "string"
},
"boundaries": {
"maxItems": 128,
"minItems": 0,
"type": "array"
},
"inputDigest": {
"maxLength": 71,
"type": "string"
},
"offerId": {
"enum": [
"covariance-uncertainty"
],
"type": "string"
},
"receiptDigest": {
"maxLength": 71,
"type": "string"
},
"result": {
"type": "object"
},
"version": {
"enum": [
"maha-microproducts/0.1"
],
"type": "string"
}
},
"required": [
"version",
"offerId",
"amountBaseUnits",
"inputDigest",
"result",
"boundaries",
"receiptDigest"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
},
"declaration-integrity": {
"canonicalResource": "https://www.mahastrategies.com/api/v1/micro/covariance-uncertainty",
"declarationDigest": "sha256:4d39ba3c9d98566e29c05d272557209753c11632221aff9d6eb6a1b49f237038",
"metadataVersion": "2026-08-10"
},
"maha-offer": {
"amount": "13000",
"asset": "USDC",
"assetDecimals": 6,
"canonicalResource": "https://www.mahastrategies.com/api/v1/micro/covariance-uncertainty",
"declarationInline": "compact",
"declarationUrl": "https://www.mahastrategies.com/api/discovery/x402-offers/covariance-uncertainty",
"fullSourceTextStored": false,
"maxRequestBytes": 32768,
"method": "POST",
"network": "eip155:8453",
"offerId": "covariance-uncertainty",
"payableInProduction": true,
"status": "available",
"verbatimExcerptsRetained": false
}
}Use it
curl
curl "https://www.mahastrategies.com/api/v1/micro/covariance-uncertainty" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://www.mahastrategies.com/api/v1/micro/covariance-uncertainty");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://www.mahastrategies.com/api/v1/micro/covariance-uncertainty")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/1439.json, and this resource appears in /discovery/resources and /discovery/search.