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Token Quote vs Received Amount — Rolling Mean Report
x402
Token Quote vs Received Amount — 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 token quote shortfall (quoted minus received token amounts) over a sliding window across a series of observations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token quote versus received amount — Rolling mean report: Rolling mean report for Token quote versus received amount. 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
Returns a rolling mean report showing the average difference between quoted_tokens and received_tokens across a sliding window of the specified size. Each windowed segment yields a mean shortfall value, enabling trend analysis of token delivery accuracy across the supplied observations.
Example use cases
DEX slippage trend monitoring
“I have a series of token swaps where I was quoted certain amounts but received less — can you compute a rolling mean with a window of 3 across these 6 observations to see if the shortfall is getting worse over time?”
Broker fill quality audit
“We got 10 token orders filled this week and every one came in slightly under the quoted amount — run a rolling mean report with a window of 4 on these rows so I can see whether the average underfill is consistent or drifting.”
Algorithmic trade execution review
“My trading bot recorded 8 rounds of quoted vs received tokens — can you calculate the rolling mean shortfall with a window of 2 so I can tell whether the execution quality is stable or degrading?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-quote-shortfall-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a time-series of token trade observations and need to smooth out noise using a rolling mean to identify systematic shortfall trends, rather than inspecting raw per-trade differences. It is ideal for auditing broker or DEX fill quality over a batch of trades rather than evaluating a single transaction.
Side effects
- Fewer than 2 rows supplied — minimum row count not met
- Window size exceeds number of rows — invalid window configuration
- quoted_tokens or received_tokens missing or zero — required fields absent
- Values exceed maximum threshold (1e16) — out-of-range inputs rejected
- Non-numeric values in numeric fields — type validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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