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Token Buy Receipt Shortfall — Weighted Result Mean
x402
Token Buy Receipt Shortfall — Weighted Result Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Computes a weighted mean of token buy receipt shortfall values (expected minus actual tokens received) across multiple observations.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token buy receipt shortfall — Weighted result mean: Weighted result mean for Token buy receipt shortfall. 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 weighted result mean report.
Output
Returns a single weighted mean shortfall value representing the average token deficit (expected minus actual tokens) across all supplied observation rows, weighted by the provided weight array. The report is a deterministic calculation based solely on the submitted data — not a live market scan or trade recommendation.
Example use cases
DeFi slippage audit across trades
“I made four token purchases expecting 500, 750, 1000, and 1200 tokens but got 480, 710, 960, and 1150 — weight the larger trades more heavily with weights 1, 2, 3, 4 and give me the weighted mean shortfall.”
Token vesting receipt reconciliation
“Reconcile my vesting receipts: expected tokens were 10000, 10000, and 20000 but I actually received 9800, 9750, and 19500. Weight them equally and tell me the weighted average shortfall.”
Exchange fill-rate monitoring
“I'm tracking exchange fill quality — over 5 fills I expected 200, 400, 600, 800, and 1000 tokens and got 190, 385, 580, 770, and 950 respectively. Use weights of 1, 1, 2, 2, 3 and compute the weighted mean token shortfall for me.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-buy-receipt-weighted-mean?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, weighted statistical summary of token purchase shortfalls across multiple observations — particularly when some trades or observations should carry more influence than others. Prefer this over a simple mean when trade sizes or importance vary significantly across observations. Not suitable for real-time market scanning, trade recommendations, or safety verification.
Side effects
- Fewer than 2 rows submitted — minimum 2 observations required
- More than 200 rows submitted — exceeds maximum array size
- Weights array length does not match rows array length
- expected_tokens set to 0 — violates exclusiveMinimum constraint
- actual_tokens or expected_tokens exceed maximum value of 10^16
- Malformed numeric values in rows or weights arrays
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| weights | array |
Tags
x402
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