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Token Net Supply Flow Rolling Mean Report
x402
Token Net Supply Flow Rolling Mean Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).
Computes a rolling mean of net token supply flow (issued minus burned) over a sliding window across a time series of token observations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token issued less burned supply flow — Rolling mean report: Rolling mean report for Token issued less burned supply flow. Supplied token observations only. Deterministic calculation or caller-threshold verdict, not a live scan, safety proof or trade recommendation. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded rolling mean report report.
Output
A rolling mean report over the net token supply flow (issued_tokens minus burned_tokens) for each supplied row, smoothed using the specified window size. Each output value represents the average net supply flow over the preceding N observations. Returns deterministic computed values, not a live scan or investment recommendation.
Example use cases
Smoothing token inflation trend
“I have 4 periods of token data: issued 1000/burned 400, issued 1100/burned 440, issued 1000/burned 400, issued 1100/burned 440 — can you compute the rolling mean of net supply flow using a window of 2 so I can see the smoothed trend?”
Detecting burn rate changes over time
“Here's my weekly token emission and burn data for the last 6 weeks — can you run a rolling mean with a window of 3 on the net supply flow so I can spot where burn rate meaningfully changed?”
Tokenomics report for protocol dashboard
“We need a smoothed net supply flow figure for our protocol dashboard. Run a rolling mean with window size 4 on these 8 periods of issued and burned token counts and give me the report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-net-supply-flow-rolling?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a deterministic, statistically smoothed view of net token supply dynamics over a time series — specifically when the raw issued-minus-burned figures are noisy and you want a rolling mean to surface trends. Prefer this over raw difference calculations when you have multiple periods and want a bounded, reproducible report without building your own windowing logic.
Side effects
- Fewer than 2 rows provided — minimum 2 rows required
- Window size larger than number of rows — window must not exceed row count or 200 maximum
- issued_tokens or burned_tokens out of range (0 to 1e16)
- Invalid or non-numeric values in the input rows
- More than 200 rows submitted — exceeds maxItems limit
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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