# Concentrated LP Range Optimizer

> 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.

## Facts

- Endpoint: POST https://mev.halowerk.com/v1/concentrated-lp-range-optimizer?utm_source=zero.xyz
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/concentrated-lp-range-optimizer-07fcb574
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_q8HV9QXPcqk556GMtuTLq

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability concentrated-lp-range-optimizer-07fcb574 -d '<json body>'
```

Example prompt: Analyze my concentrated LP position for the USDC/ETH pool at 0xABC123 — the out-of-range percentage is 38%, idle capital is 42%, and rebalancing cost is 0.15%. Tell me if the range needs adjusting and flag any missing signals.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "strict": {
   "type": "boolean",
   "default": false,
   "description": "Reject unless all documented metrics are supplied."
  },
  "context": {
   "type": "object",
   "description": "Optional non-secret labels returned unchanged for correlation.",
   "maxProperties": 20,
   "additionalProperties": {
    "type": [
     "string",
     "number",
     "boolean",
     "null"
    ]
   }
  },
  "subject": {
   "type": "string",
   "maxLength": 256,
   "minLength": 1,
   "description": "Address, transaction, protocol, asset, proposal or other subject being assessed."
  },
  "evidence": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "metric",
     "value"
    ],
    "properties": {
     "note": {
      "type": "string",
      "maxLength": 500
     },
     "value": {
      "type": [
       "number",
       "boolean"
      ]
     },
     "metric": {
      "enum": [
       "out_of_range_pct",
       "capital_idle_pct",
       "rebalance_cost_pct"
      ],
      "type": "string"
     },
     "source": {
      "type": "string",
      "maxLength": 300,
      "minLength": 1,
      "description": "Evidence source or query identifier."
     },
     "timestamp": {
      "type": "string",
      "maxLength": 40,
      "minLength": 10,
      "description": "ISO-8601 observation time."
     }
    },
    "additionalProperties": false
   },
   "maxItems": 50,
   "minItems": 1,
   "description": "Caller-supplied observations. Repeated metrics form a time series; the newest timestamp is assessed."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/concentrated-lp-range-optimizer-07fcb574/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from mev.halowerk.com](https://www.zero.xyz/host/mev.halowerk.com/llms.txt)