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Orbbit Commodity Metric Values Time Series
x402
Orbbit Commodity Metric Values Time Series is a paid API for AI agents from data-api.orbbit.co, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Retrieves historical time-series values for commodity metrics, organized in four descriptive layers, over a specified date range.
Price / call$0.01
Success—
StatusUnknown
How this service works
Get the values over time for the series you choose, each described in the same four layers.
Output
Returns a structured collection of time-series data for each requested commodity series, with values organized across four descriptive layers per series. Each data point includes a date and corresponding metric value, covering the requested date range at the appropriate frequency (daily, weekly, biweekly, monthly, or annual).
Example use cases
Historical commodity price research
“Get me the full history of gold price metric values going back to 1990 — I need annual data for the entire available range.”
Multi-commodity trend comparison
“Fetch the weekly metric values for wheat, corn, and soybeans from 2018-01-01 to 2023-12-31 so I can compare their price movements side by side.”
Recent commodity snapshot
“What are the daily metric values for Brent crude oil over the past year up to today? Use the series IDs for Brent from the commodities list.”
Technical details
Endpoint
GEThttps://data-api.orbbit.co/v1/commodities/metric-values?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need historical time-series values for commodities over a flexible date range, especially when you have series IDs or metric names from the Orbbit commodities catalog. It is the right choice when you need multi-series data (up to 100 at once), support for various frequencies (daily through annual), and structured four-layer metric output. Prefer it over generic market data APIs when you specifically need Orbbit's commodity-centric data model.
Side effects
- Exceeds 100 total series limit when combining ids and metric_names — returns error
- Invalid or unrecognized series IDs or metric names — returns empty or error response
- Malformed date format (not YYYY-MM-DD) — returns validation error
- No data available for the requested date range — returns empty series
- Missing required query params results in default range behavior which may not match expectations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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