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Constant-Product AMM Average Execution Impact — One-Input Sensitivity Table
x402
Constant-Product AMM Average Execution Impact — 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 sensitivity table showing how constant-product AMM average execution impact varies as a single input parameter (input reserve or input token quantity) sweeps across specified values, given a baseline token pair state.
Price / call$0.01
Success—
StatusUnknown
How this service works
Constant-product average execution impact — One-input sensitivity table: One-input sensitivity table for Constant-product average execution impact. 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 constant-product average execution impact value for each swept value of the chosen input field (input_reserve or input_tokens), holding all other baseline parameters constant. Results are deterministic calculations based on supplied token observations and do not represent live market data or trade recommendations.
Example use cases
Reserve depth impact on swap cost
“I want to see how average execution impact changes as the input reserve varies from 5000 to 50000 in steps of 5000, using a baseline of input_reserve=10000 and input_tokens=200 on a constant-product pool. Give me the full sensitivity table.”
Trade size sensitivity for AMM slippage
“Can you run a one-input sensitivity table for constant-product execution impact where I sweep input_tokens values [50, 100, 200, 500, 1000] against a baseline of input_reserve=20000 and input_tokens=100? I want to understand how my trade size affects average impact.”
Comparing liquidity scenarios for a DEX pool
“I'm evaluating three reserve scenarios for a CP AMM — input_reserve values of [8000, 10000, 15000] — with a fixed baseline of input_reserve=10000 and input_tokens=150. Compute the average execution impact sensitivity table so I can compare the liquidity conditions.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-cp-impact-sensitivity?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, pre-computed sensitivity analysis of how constant-product AMM average execution impact responds to a single varying input (reserve size or token quantity), and you already have the token observations. It is a specialized calculation tool — not a live market scanner or trade recommender — best suited for DeFi modeling, pool design analysis, or pre-trade impact estimation across a parameter range.
Side effects
- Invalid field value (must be 'input_reserve' or 'input_tokens') returns validation error
- Values array empty or exceeds 50 items returns schema validation error
- Baseline input_reserve or input_tokens set to zero or negative returns exclusiveMinimum violation
- Any value exceeding 1e16 magnitude returns maximum constraint error
- Malformed JSON body returns 400 bad request
- Payment not included or insufficient USDC returns 402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| field | string | |
| values | array | |
| baseline | object |
Tags
x402
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