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Token Buy Receipt Shortfall — Two-Input Scenario Grid
x402
Token Buy Receipt Shortfall — Two-Input Scenario Grid 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).
Generates a two-dimensional scenario grid showing token buy receipt shortfall outcomes across combinations of expected and actual token values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token buy receipt shortfall — Two-input scenario grid: Two-input scenario grid 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 two-input scenario grid report.
Output
A two-dimensional scenario grid where each cell represents the computed token buy receipt shortfall (and optionally a caller-threshold verdict) for a specific combination of the two swept input variables (expected_tokens and actual_tokens). The grid covers up to 10×10 input combinations and is deterministic given the supplied baseline and value arrays.
Example use cases
Slippage sensitivity grid for DeFi trade
“I just did a token buy where I expected 1000 tokens but only got 950 — can you run a two-input scenario grid sweeping expected_tokens from [800, 900, 1000, 1100] and actual_tokens from [700, 850, 950, 1050] so I can see how the shortfall changes across those combinations?”
Pre-trade threshold check across token quantities
“Before I place a large token purchase, can you model the receipt shortfall for expected_tokens [5000, 7500, 10000] against actual_tokens [4500, 6750, 9000] using a baseline of 10000 expected and 9000 actual, so I can see which scenarios breach my tolerance?”
Audit receipt discrepancy for multiple order sizes
“I need to audit token receipt shortfalls for a range of order sizes — run a grid with expected_tokens [100, 500, 1000] on X and actual_tokens [90, 475, 950] on Y, baseline 1000 expected and 950 actual.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-buy-receipt-stress-grid?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to evaluate token buy receipt shortfall across a matrix of two varying inputs simultaneously — ideal for sensitivity analysis, stress testing, or pre-trade scenario modeling. Prefer it over single-calculation endpoints when you want to see how shortfall behaves across ranges of both expected and actual token values in one call. Not suitable for live market scanning, safety proofs, or trade recommendations.
Side effects
- Invalid field_x or field_y enum value returns validation error
- values_x or values_y arrays exceed 10 items — rejected with maxItems error
- expected_tokens baseline set to 0 or negative — rejected due to exclusiveMinimum constraint
- actual_tokens or expected_tokens values outside allowed range (0 to 1e16) cause schema validation failure
- Missing required baseline fields returns 400-level error
- Payment not processed correctly via x402 protocol results in 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| field_x | string | |
| field_y | string | |
| baseline | object | |
| values_x | array | |
| values_y | array |
Tags
x402
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