Api Endpoint

Skill: Trend analysis

Take any numeric time series - a stock's daily close, a FRED macro indicator, a treasury yield history - and run it through the full quantitative workup: descriptives, moving averages, trend line, outliers, optional correlation against a benchmark, and a deterministic forecast forward with a 95% prediction interval. Everything an analyst writes a notebook for, in one chain of cheap calls.

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/trend-analysis
MIME type: application/json
First seen: 2026-10-16T01:50:53.972Z
Last seen: 2026-11-05T05:43:56.031Z
Tags: skill-pack, workflow, trend-analysis, Agents, X402

Website

Payment pricing

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

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Atomic price: 18000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
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Atomic price: 18000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 16: 18000 atomic units
Atomic price: 18000 · Network: eip155:5042 · Asset: 0x3600000000000000000000000000000000000000 · Scheme: exact

Raw x402 terms

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Observed health

Status: Healthy
Latest latency: 107 ms
Average latency: 146 ms
HTTP status: 204
Last checked: 2026-11-03T10:56:26.834Z
Reachability: 100% over 8 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": {
        "benchmark": {
          "description": "Optional second series to correlate against - a ticker (SPY) or a FRED series id. Without it the correlation step is skipped.",
          "type": "string"
        },
        "horizon": {
          "description": "Lookback window for the fetch - e.g. \"1y\", \"5y\", \"6mo\". Maps to the upstream tool's range parameter.",
          "type": "string"
        },
        "series": {
          "description": "What to analyze - a ticker (AAPL), a FRED series id (UNRATE), or a treasury maturity (10Y)",
          "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": "1y"
    },
    "pack": "trend-analysis",
    "steps": [
      {
        "ok": true,
        "slug": "stock-history",
        "result": {}
      },
      {
        "ok": true,
        "slug": "fred-series",
        "result": {}
      },
      {
        "ok": true,
        "slug": "stats-summary",
        "result": {}
      },
      {
        "ok": true,
        "slug": "moving-average",
        "result": {}
      },
      {
        "ok": true,
        "slug": "linear-regression",
        "result": {}
      },
      {
        "ok": true,
        "slug": "outliers",
        "result": {}
      },
      {
        "ok": true,
        "slug": "correlation",
        "result": {}
      },
      {
        "ok": true,
        "slug": "forecast-eval",
        "result": {}
      }
    ],
    "summary": "8/8 steps succeeded"
  }
}