Saylor Innovations Data Desk

One-way ANOVA across 2 to 10 groups - F statistic, degrees of freedom, p-value, eta and omega squared, effect size, group means and a plain-language verdict

DataUnknowneip155:8453Exactvia facilitator:payAI
Anova test for three groupsCompare means of several groupsOne way anova p valueIs there a significantF statistic and eta squared
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
0xA2A8dF0f7CaaBEa4e120a2568118f141569fc8aa

The 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.

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:anova-one-way",
      "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": {
          "groups": "4,5,6|7,8,9|1,2,3"
        }
      },
      "output": {
        "type": "json",
        "example": {
          "alpha": 0.05,
          "groups": 3,
          "source": "One-way ANOVA with the F distribution via the regularized incomplete beta function",
          "p_value": 0.001,
          "df_within": 6,
          "df_between": 2,
          "grand_mean": 5,
          "effect_size": "large",
          "eta_squared": 0.9,
          "f_statistic": 27,
          "group_stats": [
            {
              "n": 3,
              "sd": 1,
              "mean": 5,
              "group": 1
            },
            {
              "n": 3,
              "sd": 1,
              "mean": 8,
              "group": 2
            },
            {
              "n": 3,
              "sd": 1,
              "mean": 2,
              "group": 3
            }
          ],
          "significant": true,
          "observations": 9,
          "omega_squared": 0.852459,
          "interpretation": "at least one group mean differs from the others; run a post-hoc test (Tukey HSD) to see which",
          "mean_square_within": 1,
          "sum_squares_within": 6,
          "mean_square_between": 27,
          "sum_squares_between": 54
        }
      }
    },
    "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": [
                "groups"
              ],
              "properties": {
                "groups": {
                  "type": "string",
                  "description": "Groups separated by |, each a comma-separated list, e.g. 4,5,6|7,8,9|1,2,3"
                }
              }
            }
          },
          "additionalProperties": false
        },
        "output": {
          "type": "object",
          "required": [
            "type"
          ],
          "properties": {
            "type": {
              "type": "string",
              "const": "json"
            },
            "example": {
              "type": "object",
              "required": [
                "f_statistic",
                "p_value"
              ],
              "properties": {
                "alpha": {
                  "type": [
                    "number",
                    "null"
                  ],
                  "description": "Significance level used"
                },
                "groups": {
                  "type": "number",
                  "description": "Number of groups compared"
                },
                "source": {
                  "type": "string",
                  "description": "Data source the values come from"
                },
                "p_value": {
                  "type": "number",
                  "description": "P value"
                },
                "df_within": {
                  "type": "number",
                  "description": "Df within"
                },
                "df_between": {
                  "type": "number",
                  "description": "Df between"
                },
                "grand_mean": {
                  "type": "number",
                  "description": "Grand mean"
                },
                "effect_size": {
                  "type": "string",
                  "description": "Effect size"
                },
                "eta_squared": {
                  "type": "number",
                  "description": "Eta squared"
                },
                "f_statistic": {
                  "type": [
                    "number",
                    "null"
                  ],
                  "description": "F statistic"
                },
                "group_stats": {
                  "type": "array",
                  "items": {
                    "type": "object",
                    "properties": {
                      "n": {
                        "type": [
                          "number",
                          "null"
                        ],
                        "description": "Group size"
                      },
                      "sd": {
                        "type": [
                          "number",
                          "null"
                        ],
                        "description": "Group standard deviation"
                      },
                      "mean": {
                        "type": [
                          "number",
                          "null"
                        ],
                        "description": "Group mean"
                      },
                      "group": {
                        "type": [
                          "number",
                          "null"
                        ],
                        "description": "Group number"
                      }
                    }
                  },
                  "description": "Group stats"
                },
                "significant": {
                  "type": "boolean",
                  "description": "True when the p-value is below alpha"
                },
                "observations": {
                  "type": "number",
                  "description": "Observations in time order"
                },
                "omega_squared": {
                  "type": "number",
                  "description": "Omega squared"
                },
                "interpretation": {
                  "type": "string",
                  "description": "Plain-language reading of the result"
                },
                "mean_square_within": {
                  "type": [
                    "number",
                    "null"
                  ],
                  "description": "Mean square within"
                },
                "sum_squares_within": {
                  "type": [
                    "number",
                    "null"
                  ],
                  "description": "Sum squares within"
                },
                "mean_square_between": {
                  "type": [
                    "number",
                    "null"
                  ],
                  "description": "Mean square between"
                },
                "sum_squares_between": {
                  "type": [
                    "number",
                    "null"
                  ],
                  "description": "Sum squares between"
                }
              }
            }
          }
        }
      }
    }
  }
}

Provenance

Seen in the source catalog
2026-10-26 02:44Z
Last indexed by Roundhouse
2026-10-26 12:46Z
Last enriched (probe, favicon, geo)
—
x402 version
2
Max timeout
120s
Liveness probe
Not probed
Report

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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.

Open skill.md
Show 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/anova, 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.