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Token Transfer Receipt Fraction — Two-Input Scenario Grid
x402
Token Transfer Receipt Fraction — 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 2026-10-13).
Computes a grid of token transfer receipt fraction values across two variable dimensions (sent_tokens and received_tokens) for scenario analysis
Price / call$0.01
Success—
StatusUnknown
How this service works
Token transfer receipt fraction — Two-input scenario grid: Two-input scenario grid for Token transfer receipt fraction. 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
Returns a two-dimensional scenario grid (matrix) of computed token transfer receipt fraction values for each combination of the supplied X-axis and Y-axis token observation arrays, anchored to the provided baseline. Each cell represents the deterministic receipt fraction outcome for that (field_x, field_y) value pair. No live market data, safety assessments, or trade recommendations are included.
Example use cases
Stress-testing receipt fraction variance
“I want to see how our token transfer receipt fraction holds up across different scenarios — use a baseline of 5000 sent and 4950 received, sweep sent_tokens across [4000, 4500, 5000, 5500, 6000] on the X axis and received_tokens across [4800, 4900, 5000, 5100, 5200] on the Y axis.”
Threshold breach analysis for token receipts
“Can you generate a two-input scenario grid comparing different sent_tokens values [800, 900, 1000] against received_tokens values [780, 850, 920, 980] using a baseline of 1000 sent and 990 received, so I can see which combinations drop the receipt fraction below acceptable levels?”
Fee impact modeling on transfer ratio
“Model how the token transfer receipt fraction changes when I vary received_tokens from [950, 970, 990, 1010] on Y and sent_tokens from [1000, 1050, 1100] on X, starting from a baseline of 1000 sent and 990 received — I want to understand the fee impact across these scenarios.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-transfer-receipt-stress-grid?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to evaluate token transfer receipt fractions across a structured two-dimensional grid of input scenarios rather than a single point calculation. It is ideal for stress-testing, fee-impact modeling, or threshold analysis where both sent_tokens and received_tokens need to vary independently. Prefer this over single-point calculators when you want a comparative matrix of outcomes in one call.
Side effects
- Invalid field_x or field_y values (must be 'received_tokens' or 'sent_tokens')
- values_x or values_y arrays exceed 10 items
- baseline missing required sent_tokens or received_tokens fields
- sent_tokens baseline set to zero or negative (exclusiveMinimum constraint)
- received_tokens or sent_tokens values outside allowed range (-10^16 to 10^16)
- Malformed JSON body returns 400 error
- Payment not processed results in 402 response
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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