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Token Liquidity Relative Change — Distribution Histogram
x402
Token Liquidity Relative Change — Distribution Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Computes a distribution histogram of relative liquidity changes across a batch of token observations, bucketed into a configurable number of bins.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token liquidity relative change — Distribution histogram: Distribution histogram for Token liquidity relative change. 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 distribution histogram report.
Output
A bounded distribution histogram report showing how relative liquidity changes (computed from current vs previous liquidity pairs) are distributed across the specified number of bins. Each bin represents a range of relative change values and its associated frequency count from the supplied observations.
Example use cases
DeFi liquidity shift spread analysis
“I have 50 token pairs with their current and previous liquidity values — can you compute a histogram of the relative liquidity changes using 8 bins so I can see how evenly the shifts are distributed?”
Detecting outlier liquidity spikes
“Run a distribution histogram on these 120 token liquidity observations with 15 bins — I want to see if most changes are clustered near zero or if there are fat tails with big spikes.”
Comparing liquidity stability across a portfolio
“Here are the current and previous liquidity readings for my 30 tracked tokens — bucket their relative changes into 5 bins and show me the frequency distribution so I can tell which tokens are stable vs volatile.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-liquidity-change-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to understand the statistical distribution of liquidity changes across a batch of token observations — specifically when you want to see how relative changes cluster across configurable bins. Prefer this over single-value or ranking endpoints when the goal is to understand spread, skew, or concentration of liquidity shifts rather than individual token values.
Side effects
- fewer than 2 row observations provided — minimum rows not met
- current_liquidity or previous_liquidity is zero or negative — exclusiveMinimum violation
- bins value exceeds 30 or is less than 1 — out of range
- rows array exceeds 200 items — maxItems exceeded
- missing required fields current_liquidity or previous_liquidity in any row — schema validation failure
- payment not settled — x402 payment required before response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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