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Concentrated LP Range Optimizer
x402
Concentrated LP Range Optimizer is a paid API for AI agents from mev.halowerk.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-23).
Analyzes caller-supplied evidence to assess and optimize concentrated liquidity position ranges, scoring out-of-range exposure, idle capital, and rebalancing costs with explicit confidence thresholds.
Price / call$0.001
Success—
StatusUnknown
How this service works
Concentrated LP Range Optimizer analyses only the evidence supplied by the caller. It does not claim to query a chain, identify a legal status or replace an independent audit. Missing signals lower confidence and are listed explicitly; every classification includes the exact thresholds used.
Output
Returns a structured assessment of the concentrated LP range including classification of position health, the exact metric thresholds used in scoring, a confidence level based on supplied evidence, and an explicit list of any missing signals that would increase certainty. Context labels are echoed back unchanged for correlation.
Example use cases
LP rebalancing decision for Uniswap v3
“I have a USDC/WETH position on Uniswap v3 at address 0xDeF456 — out-of-range time is 55%, my idle capital is 60%, and rebalancing would cost about 0.25%. Should I tighten or shift my range?”
Monitoring concentrated LP efficiency over time
“Here are three daily snapshots for my ARB/USDC liquidity position 0x789GHI — out-of-range was 20% on Monday, 35% Tuesday, 48% Wednesday, idle capital is around 30% each day, and rebalance cost is 0.10%. Assess whether the trend is worsening and flag confidence gaps.”
Evaluating protocol LP strategy before deployment
“Before I deploy capital to this new concentrated LP strategy on protocol 'AlphaSwap', can you score it using these metrics: out_of_range_pct 25%, capital_idle_pct 18%, rebalance_cost_pct 0.08%? I want to know the confidence level and any signals that are missing.”
Technical details
Endpoint
POSThttps://mev.halowerk.com/v1/concentrated-lp-range-optimizer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured, evidence-based assessment of a concentrated liquidity position's range efficiency using caller-supplied on-chain or off-chain metrics — particularly when you want explicit confidence scoring, threshold transparency, and enumeration of missing signals rather than a black-box recommendation. Best suited when you already have computed out-of-range percentage, idle capital percentage, and rebalancing cost data and want an interpretive classification layer.
Side effects
- Missing required evidence items return lowered confidence with explicit list of absent metrics
- strict mode enabled with incomplete evidence causes request rejection
- invalid metric enum values cause validation errors
- timestamp format violations cause rejection
- subject string exceeding 256 characters returns validation error
- evidence array with zero items rejected at schema level
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| strict | boolean | Reject unless all documented metrics are supplied. |
| context | object | Optional non-secret labels returned unchanged for correlation. |
| subject | string | Address, transaction, protocol, asset, proposal or other subject being assessed. |
| evidence | array | Caller-supplied observations. Repeated metrics form a time series; the newest timestamp is assessed. |
Tags
x402
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