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Kaspa Network Historical Timeseries API
x402
Kaspa Network Historical Timeseries API is a paid API for AI agents from api.carbon-cashmere.de, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-30).
Returns server-side aggregated historical timeseries data (up to 1000 points) for Kaspa blockchain metrics such as hashrate, difficulty, DAG block rate, mempool depth, circulating supply, and more.
Price / call$0.05
Success—
StatusUnknown
How this service works
Historical Kaspa network metrics as server-side aggregated timeseries (max 1000 points): hashrate, difficulty, DAG block rate, mempool depth, DAA score, tip count, circulating supply, percent mined; peer count only until 2026-08-10. Collected continuously by our own infrastructure (own Kaspa node until 2026-08-10, since then snapshots of the public api.kaspa.org). Informational research data — not investment advice.
Output
A JSON object containing the requested metric name, unit, interval, an array of timestamped data points (each with a 'ts' ISO datetime and 'value' that may be null for gaps), plus coverage and freshness metadata. Up to 1000 points are returned per call.
Example use cases
Kaspa mining difficulty research
“Give me the historical difficulty for the Kaspa network from March 1 2024 to March 31 2024 at hourly intervals — I want to see how it shifted during that month.”
Circulating supply trend analysis
“Fetch the Kaspa circulating supply timeseries for all of 2023 at daily granularity so I can see how much KAS entered circulation over the year.”
Mempool congestion monitoring
“Get me the Kaspa mempool transaction count at 5-minute intervals between 2024-05-10T00:00:00Z and 2024-05-10T12:00:00Z — I need to see if there was a congestion spike that morning.”
Technical details
Endpoint
GEThttps://api.carbon-cashmere.de/v1/kaspa-derivatives/timeseries?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need pre-aggregated historical Kaspa blockchain network metrics (hashrate, difficulty, block rate, mempool, supply, etc.) as a clean timeseries without running your own node. It is especially useful for research, charting, and trend analysis where you need up to 1000 evenly-spaced data points across a custom date range and interval. Prefer it over raw Kaspa APIs when you want server-side aggregation and consistent formatting.
Side effects
- Missing required parameters (metric, from, to) returns a validation error
- Requesting peer_count for dates after 2026-08-10 may return nulls or empty data (data collection ended)
- Date ranges that would produce more than 1000 points at fine granularity may be truncated or require a coarser interval
- Invalid metric enum value returns an error
- from datetime after to datetime returns an error
- Payment failure (x402) results in 402 response without data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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