mirrored listing x402 eip155:8453

Forecast Calibration Report

Forecast Calibration Report. Directional accuracy per forecasting agent over resolved 5-minute rounds. Reported honestly: accuracy near 50% means no demonstrated edge. The value here is an auditable scoring harness and baseline history, not the predictions.

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10000 (raw units)
price
1
calls / 30d
1
unique payers
2026-08-21
updated

Provider

app.tenna.ai · discovered, not yet claimed by its owner

Payment (x402 accepts[])

[
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    "asset": "0x833589fcd6edb6e08f4c7c32d4f71b54bda02913",
    "amount": "10000",
    "maxTimeoutSeconds": 60
  }
]

Output schema

{
  "bazaar": {
    "discoverable": true,
    "info": {
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        "body": {
          "limit": 1,
          "offering": "forecast_calibration"
        },
        "bodyType": "json",
        "method": "POST",
        "type": "http"
      },
      "output": {
        "example": {
          "agentNameBasis": "SOURCE_HISTORY_AGENT_NAME_UNMODIFIED",
          "agents": [
            {
              "accuracyPct": null,
              "agent": "<agent>",
              "hits": 1,
              "resolvedRounds": 1
            }
          ],
          "limitations": [
            "<limitations>"
          ],
          "offering": "forecast_calibration",
          "provenance": {
            "auditedDeliverableHash": null,
            "generatedAt": 1,
            "ledgerLaunchCount": null,
            "ledgerSpanHours": null,
            "resultHash": null,
            "rubricVersion": null,
            "source": "<source>"
          },
          "resolvedRounds": 1,
          "schemaVersion": "<schemaVersion>",
          "summary": {
            "agentCount": 1,
            "agentsAbove50Pct": 1,
            "bestAccuracyPct": null,
            "bestAgents": [
              "<bestAgents>"
            ],
            "interpretation": "DESCRIPTIVE_ONLY_NO_DEMONSTRATED_EDGE",
            "meanAccuracyPct": null,
            "worstAccuracyPct": null,
            "worstAgents": [
              "<worstAgents>"
            ]
          }
        },
        "type": "json"
      }
    },
    "resource": "https://app.tenna.ai/api/x402/lumi/forecast_calibration",
    "schema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "input": {
          "additionalProperties": false,
          "properties": {
            "body": {
              "additionalProperties": false,
              "description": "How many recent rounds to score.",
              "properties": {
                "limit": {
                  "description": "Rounds to score (1-200).",
                  "maximum": 200,
                  "minimum": 1,
                  "type": "integer"
                },
                "offering": {
                  "description": "Offering identifier. Must be exactly 'forecast_calibration'.",
                  "type": "string"
                }
              },
              "required": [
                "offering",
                "limit"
              ],
              "type": "object"
            },
            "bodyType": {
              "enum": [
                "json"
              ],
              "type": "string"
            },
            "method": {
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            "type": {
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          "required": [
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            "method",
            "bodyType",
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        },
        "output": {
          "properties": {
            "example": {
              "additionalProperties": true,
              "properties": {
                "agentNameBasis": {
                  "const": "SOURCE_HISTORY_AGENT_NAME_UNMODIFIED",
                  "description": "How agent identifiers are derived; source names are preserved without inventing a taxonomy.",
                  "type": "string"
                },
                "agents": {
                  "description": "Per-agent accuracy over the same requested rounds.",
                  "items": {
                    "additionalProperties": false,
                    "properties": {
                      "accuracyPct": {
                        "description": "100 * hits / this agent's resolvedRounds, rounded to one decimal place.",
                        "type": [
                          "number",
                          "null"
                        ]
                      },
                      "agent": {
                        "description": "Forecasting agent name.",
                        "type": "string"
                      },
                      "hits": {
                        "description": "Correct predictions for this agent only.",
                        "type": "integer"
                      },
                      "resolvedRounds": {
                        "description": "This agent's prediction coverage within the distinct resolved source rounds.",
                        "type": "integer"
                      }
                    },
                    "required": [
                      "agent",
                      "resolvedRounds",
                      "hits",
                      "accuracyPct"
                    ],
                    "type": "object"
                  },
                  "type": "array"
                },
                "limitations": {
                  "description": "Coverage limits and missing data, always disclosed.",
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                },
                "offering": {
                  "const": "forecast_calibration",
                  "description": "Offering that produced this result.",
                  "type": "string"
                },
                "provenance": {
                  "description": "Reproducibility metadata so another agent can audit this.",
                  "properties": {
                    "auditedDeliverableHash": {
                      "description": "Explicit alias for resultHash on deliverable-audit results; hashes the buyer-supplied input, not the audit envelope.",
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "generatedAt": {
                      "description": "Unix seconds.",
                      "type": "integer"
                    },
                    "ledgerLaunchCount": {
                      "description": "Launches in the ledger. Null when the offering is not derived from the launch ledger — this means not applicable, not collection failure.",
                      "type": [
                        "integer",
                        "null"
                      ]
                    },
                    "ledgerSpanHours": {
                      "description": "Hours of history covered. Null when the offering is not derived from the launch ledger.",
                      "type": [
                        "number",
                        "null"
                      ]
                    },
                    "resultHash": {
                      "description": "Hash of the audited input, so the same verdict can be reproduced. Present on audit offerings.",
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "rubricVersion": {
                      "description": "Rubric the verdict was produced under. Present on audit offerings.",
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "source": {
                      "description": "Data origin.",
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "resolvedRounds": {
                  "description": "Distinct requested source rounds that have a resolution; this is never summed across agents.",
                  "type": "integer"
                },
                "schemaVersion": {
                  "description": "Deliverable contract version.",
                  "type": "string"
                },
                "summary": {
                  "additionalProperties": false,
                  "description": "Buyer-readable descriptive summary; it does not claim statistical significance or forecasting edge.",
                  "properties": {
                    "agentCount": {
                      "description": "Agents with scored predictions.",
                      "type": "integer"
                    },
                    "agentsAbove50Pct": {
                      "description": "Agents whose descriptive accuracy exceeds 50%.",
                      "type": "integer"
                    },
                    "bestAccuracyPct": {
                      "description": "Highest descriptive accuracy.",
                      "type": [
                        "number",
                        "null"
                      ]
                    },
                    "bestAgents": {
                      "description": "All agents tied at the highest accuracy.",
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    },
                    "interpretation": {
                      "const": "DESCRIPTIVE_ONLY_NO_DEMONSTRATED_EDGE",
                      "description": "Fixed guard against reading the summary as edge.",
                      "type": "string"
                    },
                    "meanAccuracyPct": {
                      "description": "Unweighted mean of per-agent accuracy.",
                      "type": [
                        "number",
                        "null"
                      ]
                    },
                    "worstAccuracyPct": {
                      "description": "Lowest descriptive accuracy.",
                      "type": [
                        "number",
                        "null"
                      ]
                    },
                    "worstAgents": {
                      "description": "All agents tied at the lowest accuracy.",
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  },
                  "required": [
                    "agentCount",
                    "meanAccuracyPct",
                    "bestAccuracyPct",
                    "bestAgents",
                    "worstAccuracyPct",
                    "worstAgents",
                    "agentsAbove50Pct",
                    "interpretation"
                  ],
                  "type": "object"
                }
              },
              "required": [
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                "offering",
                "provenance",
                "limitations",
                "resolvedRounds",
                "agentNameBasis",
                "summary",
                "agents"
              ],
              "type": "object"
            },
            "type": {
              "type": "string"
            }
          },
          "required": [
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          ],
          "type": "object"
        }
      },
      "required": [
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      ],
      "type": "object"
    }
  }
}

Use it

curl

curl "https://app.tenna.ai/api/x402/lumi/forecast_calibration"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

JavaScript

const res = await fetch("https://app.tenna.ai/api/x402/lumi/forecast_calibration");
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://app.tenna.ai/api/x402/lumi/forecast_calibration")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header

Machine-readable

Everything on this page is also available as clean JSON at /resources/5528.json, and this resource appears in /discovery/resources and /discovery/search.