Api Endpoint

Skill: Forecasting bake-off

Don't guess which forecasting method to trust. Backtest all four (naive/drift, SES, Holt, Holt-Winters) on a real series, rank by out-of-sample RMSE, then forecast forward with the winner and its 95% prediction interval. Method selection without the hand-waving. Forecasting bake-off skill pack: one x402 payment runs 7 underlying tools (stock-history, fred-series, forecast-eval, forecast-naive, forecast-ses, forecast-holt, forecast-holt-winters); partial-success per step.

Open interactive test console

Offering

Provider
agent402.tools
Method
POST
Offering type
Api Endpoint
Transport type
http
Category
Financial Analysis
Delivery
Not provided
Pricing model
Not provided
x402 version
2

Endpoint context

URL
https://agent402.tools/api/skill/forecasting-bake-off
MIME type
application/json
First seen
2026-10-16T01:51:20.002Z
Last seen
Tags
skill-pack, workflow, forecasting-bake-off, Agents, X402

Payment pricing

x402 payment terms are the authoritative price for calling this endpoint.

Payment option 1
0.014 USDC
Atomic price: 14000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2
0.014 USDC
Atomic price: 14000 · Network: eip155:137 · Asset: USDC · Scheme: exact
Payment option 3
0.014 USDC
Atomic price: 14000 · Network: eip155:42161 · Asset: USDC · Scheme: exact
Payment option 4
0.014 USDC
Atomic price: 14000 · Network: eip155:143 · Asset: USDC · Scheme: exact
Payment option 5
0.014 USDC
Atomic price: 14000 · Network: eip155:43114 · Asset: USDC · Scheme: exact
Payment option 6
14000 atomic units
Atomic price: 14000 · Network: eip155:1329 · Asset: 0xe15fC38F6D8c56aF07bbCBe3BAf5708A2Bf42392 · Scheme: exact
Payment option 7
0.015 USDC
Atomic price: 15000 · Network: eip155:10 · Asset: USDC · Scheme: exact
Payment option 8
0.014 USDC
Atomic price: 14000 · Network: eip155:4663 · Asset: USDC · Scheme: exact
Payment option 9
14000 atomic units
Atomic price: 14000 · Network: eip155:42220 · Asset: 0xcebA9300f2b948710d2653dD7B07f33A8B32118C · Scheme: exact
Payment option 10
14000 atomic units
Atomic price: 14000 · Network: eip155:5042 · Asset: 0x3600000000000000000000000000000000000000 · Scheme: exact
Payment option 11
0.014 USDC
Atomic price: 14000 · Network: eip155:8453 · Asset: USDC · Scheme: upto
Payment option 12
0.014 USDC
Atomic price: 14000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Payment option 13
140000 atomic units
Atomic price: 140000 · Network: stellar:pubnet · Asset: CCW67TSZV3SSS2HXMBQ5JFGCKJNXKZM7UQUWUZPUTHXSTZLEO7SJMI75 · Scheme: exact
Payment option 14
14000 atomic units
Atomic price: 14000 · Network: algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73k · Asset: 31566704 · Scheme: exact
Payment option 15
0.014 USDC
Atomic price: 14000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 16
14000 atomic units
Atomic price: 14000 · Network: eip155:5042 · Asset: 0x3600000000000000000000000000000000000000 · Scheme: exact
Raw x402 terms
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Observed health

Status
Healthy
Latest latency
206 ms
Average latency
348 ms
HTTP status
204
Last checked
Reachability
100% over 13 checks

Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.

Input schema

{
  "additionalProperties": false,
  "properties": {
    "body": {
      "properties": {
        "horizon": {
          "description": "How many periods to project forward - e.g. 30 (days for daily data, months for monthly)",
          "type": "string"
        },
        "series": {
          "description": "What to forecast - a ticker (AAPL) or a FRED series id (UNRATE, CPIAUCSL)",
          "type": "string"
        }
      },
      "required": [
        "series"
      ]
    },
    "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 schema

{
  "type": "json",
  "example": {
    "args": {
      "series": "AAPL",
      "horizon": "30"
    },
    "pack": "forecasting-bake-off",
    "steps": [
      {
        "ok": true,
        "slug": "stock-history",
        "result": {}
      },
      {
        "ok": true,
        "slug": "fred-series",
        "result": {}
      },
      {
        "ok": true,
        "slug": "forecast-eval",
        "result": {}
      },
      {
        "ok": true,
        "slug": "forecast-naive",
        "result": {}
      },
      {
        "ok": true,
        "slug": "forecast-ses",
        "result": {}
      },
      {
        "ok": true,
        "slug": "forecast-holt",
        "result": {}
      },
      {
        "ok": true,
        "slug": "forecast-holt-winters",
        "result": {}
      }
    ],
    "summary": "7/7 steps succeeded"
  }
}