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Token Buy Receipt Shortfall — One-Input Sensitivity Table
x402
Token Buy Receipt Shortfall — One-Input Sensitivity Table is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes a one-input sensitivity table for token buy receipt shortfall, showing how shortfall varies as either expected_tokens or actual_tokens changes across a range of values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token buy receipt shortfall — One-input sensitivity table: One-input sensitivity table 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 one-input sensitivity table report.
Output
A structured sensitivity table showing the computed token buy receipt shortfall for each value in the supplied range of the chosen input field, holding all other baseline parameters constant. Results are deterministic given the same inputs and reflect no live market data or trade recommendations.
Example use cases
Pre-trade shortfall range estimation
“Before I buy tokens, I want to see how my receipt shortfall would look if actual tokens received range from 700 to 1300 in steps, with a baseline of 1000 expected tokens and 950 actual tokens — vary the actual_tokens field across [700, 800, 900, 1000, 1100, 1200, 1300].”
Threshold breach check across scenarios
“Can you give me a sensitivity table for token buy shortfall where I vary expected_tokens across [500, 750, 1000, 1250, 1500], with my baseline at 1000 expected and 980 actual tokens received? I need to see which scenarios breach my shortfall tolerance.”
Post-purchase receipt discrepancy analysis
“I just bought tokens and received 850 instead of the expected 1000. Run a sensitivity table varying expected_tokens across [900, 950, 1000, 1050, 1100] so I can see how the shortfall would have looked under slightly different expectations.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-buy-receipt-sensitivity?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, deterministic what-if table showing how token buy receipt shortfall changes as one variable (expected or actual tokens) sweeps across a set of values. It is ideal for pre-trade scenario planning or post-purchase discrepancy analysis where you want row-by-row shortfall figures without a live scan or probabilistic model.
Side effects
- expected_tokens must be greater than zero — exclusiveMinimum enforced
- values array must contain between 1 and 50 items
- individual values must be within ±1e16 bounds
- actual_tokens must be non-negative
- missing or malformed baseline object returns validation error
- payment of 0.01 USDC required per call; missing or invalid x402 payment header results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| field | string | |
| values | array | |
| baseline | object |
Tags
x402
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