LP-Token Lock Fraction 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 2026-10-13).
Computes a one-input sensitivity table for the reported locked LP-token fraction, sweeping either locked_lp or total_lp across user-supplied values against a baseline.
Reported locked LP-token fraction — One-input sensitivity table: One-input sensitivity table for Reported locked LP-token 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 one-input sensitivity table report.
Returns a deterministic sensitivity table mapping each supplied input value to the corresponding locked LP-token fraction (locked_lp / total_lp), computed against the provided baseline. Output includes per-value fraction results and optionally a threshold verdict, but is not a live scan or safety guarantee.
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-lp-lock-share-sensitivity?utm_source=zero.xyzChoose this endpoint when you need a fast, deterministic, parametric sweep of LP token lock fraction across a range of input values — particularly when you already have token observations and want to understand sensitivity without running a live on-chain scan. Ideal for DeFi analysts, dashboard builders, or automated agents evaluating token lock ratios under varying assumptions at low cost ($0.01 USDC per call).
| Field | Type | Description |
|---|---|---|
| field | string | |
| values | array | |
| baseline | object |
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