Saylor Innovations Data Desk
Chi-square test of independence on a contingency table - statistic, df, p-value, Cramer V, expected counts, Yates correction and assumption warnings
DataUnknowneip155:8453Exactvia facilitator:payAI
Chi square testAre two categorical variablesCramers v association strengthChi square p value calculatorTest conversion by segment
Calls · 30d
1
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 9 snapshots so far.
$15.76
Verified settled volume
1,657 settlements proven x402 by their on-chain EIP-3009 marker.
$0.010
Listed price
As published in the catalog. Always read the live 402 before paying.
—
Calls · 30d
Upstream's own call count for this endpoint, not ours.
—
Unique payers · 30d
Never called
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aaThe wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
0.01USDC≈ $0.01 USD
on Base · exact scheme
Pay 0.01 USDC on Base to 0xA2A8…fc8aa. The signed payment is good for 2 minutes.
- Paid to
- 0xA2A8…fc8aa
- USD Coin contract
- 0x8335…02913
- Payment window
- 2 minutes
- As published
- 10000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"memo": "saylor:datadesk:chi-square-test",
"name": "USD Coin",
"version": "2",
"facilitatorOnly": true,
"assetTransferMethod": "eip3009"
},
"payTo": "0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aa",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 120
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"table": "[[30,10],[20,40]]"
}
},
"output": {
"type": "json",
"example": {
"df": 1,
"total": 100,
"source": "Pearson chi-square test of independence with the regularized incomplete gamma function",
"p_value": 0.0000445571,
"cramers_v": 0.408248,
"chi_square": 16.666667,
"row_totals": [
40,
60
],
"association": "moderate",
"column_totals": [
50,
50
],
"expected_counts": [
[
20,
20
],
[
30,
30
]
],
"yates_corrected": {
"p_value": 0.000105164,
"chi_square": 15.041667
},
"assumption_warning": null,
"min_expected_count": 20,
"significant_at_5_percent": true
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method"
],
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"type": "object",
"required": [
"table"
],
"properties": {
"table": {
"type": "string",
"description": "JSON grid of observed counts, 2x2 to 10x10, e.g. [[30,10],[20,40]]"
}
}
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string",
"const": "json"
},
"example": {
"type": "object",
"required": [
"chi_square",
"df",
"p_value"
],
"properties": {
"df": {
"type": "number",
"description": "Degrees of freedom"
},
"total": {
"type": [
"number",
"null"
],
"description": "Total number of matching items"
},
"source": {
"type": "string",
"description": "Data source the values come from"
},
"p_value": {
"type": "number",
"description": "P value"
},
"cramers_v": {
"type": "number",
"description": "Cramers v"
},
"chi_square": {
"type": "number",
"description": "Chi square"
},
"row_totals": {
"type": [
"array",
"null"
],
"description": "Row totals"
},
"association": {
"type": "string",
"description": "Strength of association from Cramer's V"
},
"column_totals": {
"type": [
"array",
"null"
],
"description": "Column totals"
},
"expected_counts": {
"type": "array",
"description": "Expected counts"
},
"yates_corrected": {
"description": "Yates corrected"
},
"assumption_warning": {
"type": [
"string",
"null"
],
"description": "Assumption warning"
},
"min_expected_count": {
"type": "number",
"description": "Number of min expected"
},
"significant_at_5_percent": {
"type": "boolean",
"description": "Significant at 5, as a percentage"
}
}
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-10-26 02:49Z
- Last indexed by Roundhouse
- 2026-10-26 20:15Z
- Last enriched (probe, favicon, geo)
- —
- x402 version
- 2
- Max timeout
- 120s
- Liveness probe
- Not probed
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 9 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service Saylor Innovations Data Desk and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=Saylor%20Innovations%20Data%20Desk' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://saylorinnovations.com/api/stats/chi-square, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Either pay over x402 (mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402), or ask me for an organization key, which I create at https://roundhouseai.io/dashboard/connections. If you have neither, ask before going further. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.