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Bittensor Subnet Burn-Cost History API
x402
Bittensor Subnet Burn-Cost History API is a paid API for AI agents from api.carbon-cashmere.de, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Returns a time series of Bittensor subnet-creation burn costs (TAO) over the last N hours, with rolling min/max/avg and percent-change statistics.
Price / call$0.02
Success—
StatusUnknown
How this service works
Professional crypto market intelligence. Real-time prices, signals, and market scoring.
Output
A time series array of TAO burn-cost data points over the requested window (up to 720 hours), plus summary statistics: rolling minimum, maximum, average, and percentage change — enabling trend analysis of subnet registration demand on the Bittensor network.
Example use cases
Week-long subnet burn cost review
“Pull the Bittensor subnet registration burn cost data for the past 7 days and give me the rolling min, max, average, and percent change — I want to know if the cost to spin up a new subnet has been climbing or dropping lately.”
Monthly demand trend for subnets
“Fetch the TAO burn cost time series for the last 720 hours so I can see the full month of subnet creation fee history, including the rolling average and overall percent change — I'm trying to figure out whether investor appetite for new Bittensor subnets is growing or fading.”
Short-term burn cost spike check
“Give me the Bittensor subnet burn cost trend for the last 24 hours with min, max, average, and percent change — I noticed some unusual TAO activity and want to see if the subnet registration fee spiked or if things look normal.”
Technical details
Endpoint
GEThttps://api.carbon-cashmere.de/v1/bittensor/burn-historyWhen to prefer
Use this endpoint when you need historical burn-cost trend data for Bittensor subnet creation, specifically time-series data with statistical aggregates (min/max/avg/change_pct). Prefer this over general Bittensor metagraph endpoints when the focus is on economic demand signals for subnet registration rather than neuron-level or validator data.
Side effects
- Invalid 'hours' parameter (outside 1-720 range) returns a 400 error
- Upstream Subtensor node unavailability may cause 503 or stale data
- Payment failure (x402) if USDC balance is insufficient
- Response may be truncated for very large windows (e.g. 720 hours) due to payload size
Input
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"hours": "168"
}
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
{
"_truncated": true,
"_originalSize": 75381
}Schema · Response
{
"type": "json",
"example": {
"hours": 168,
"stats": {
"avg_tao": 751.3,
"max_tao": 820,
"min_tao": 680,
"change_pct": 8.2
},
"series": [
{
"ts": "2026-04-11T00:00:00Z",
"burn_cost_tao": 680.5
}
],
"current_burn_cost_tao": 793.11
}
}Tags
x402
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