Saylor Innovations Data Desk

Matrix calculator for up to 8x8 - determinant, inverse, rank, trace, transpose and the solution of the linear system Ax = b with a square matrix

DataLiveeip155:8453Exactvia facilitator:payAI
Determinant of a matrixInverse of a 3x3 matrixSolve a system of linear equatioMatrix rank calculatorTranspose a matrix
Calls · 30d
2
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 21 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:matrix-tools",
      "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": {
          "b": "5,6",
          "matrix": "[[1,2],[3,4]]"
        }
      },
      "output": {
        "type": "json",
        "example": {
          "cols": 2,
          "rank": 2,
          "rows": 2,
          "trace": 5,
          "source": "Gaussian elimination with partial pivoting",
          "square": true,
          "inverse": [
            [
              -2,
              1
            ],
            [
              1.5,
              -0.5
            ]
          ],
          "solution": [
            -4,
            4.5
          ],
          "transpose": [
            [
              1,
              3
            ],
            [
              2,
              4
            ]
          ],
          "invertible": true,
          "determinant": -2
        }
      }
    },
    "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",
                "POST",
                "PUT",
                "PATCH",
                "DELETE",
                "HEAD"
              ],
              "type": "string"
            },
            "queryParams": {
              "type": "object",
              "required": [
                "matrix"
              ],
              "properties": {
                "b": {
                  "type": "string",
                  "description": "optional right-hand side vector to solve Ax = b"
                },
                "matrix": {
                  "type": "string",
                  "description": "JSON array of rows, up to 8x8, e.g. [[1,2],[3,4]]"
                }
              }
            }
          },
          "additionalProperties": false
        },
        "output": {
          "type": "object",
          "required": [
            "type"
          ],
          "properties": {
            "type": {
              "type": "string",
              "const": "json"
            },
            "example": {
              "type": "object",
              "required": [
                "rows",
                "cols",
                "rank"
              ],
              "properties": {
                "cols": {
                  "type": "number",
                  "description": "Number of columns"
                },
                "rank": {
                  "type": "number",
                  "description": "Rank, 1 is highest"
                },
                "rows": {
                  "type": "number",
                  "description": "List of rows"
                },
                "trace": {
                  "type": [
                    "number",
                    "null"
                  ],
                  "description": "Sum of the diagonal, null for non-square matrices"
                },
                "source": {
                  "type": "string",
                  "description": "Data source the values come from"
                },
                "square": {
                  "type": "boolean",
                  "description": "True when the matrix is square"
                },
                "inverse": {
                  "type": [
                    "array",
                    "null"
                  ],
                  "description": "Inverse matrix, or null"
                },
                "solution": {
                  "type": [
                    "array",
                    "null"
                  ],
                  "description": "Solution vector of Ax = b, or null"
                },
                "transpose": {
                  "type": "array",
                  "description": "Transposed matrix"
                },
                "invertible": {
                  "type": [
                    "boolean",
                    "null"
                  ],
                  "description": "True when the matrix has an inverse"
                },
                "determinant": {
                  "type": [
                    "number",
                    "null"
                  ],
                  "description": "Determinant, null for non-square matrices"
                }
              }
            }
          }
        }
      }
    }
  }
}

Provenance

Seen in the source catalog
2026-10-18 02:51Z
Last indexed by Roundhouse
2026-10-26 21:16Z
Last enriched (probe, favicon, geo)
2026-10-18 11:15Z
x402 version
2
Max timeout
120s
Liveness probe
HTTP 404
Report

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. 21 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/math/matrix, 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.