LRT Restaking Risk Triangle — Depeg & Cascade Gauge is a paid API for AI agents from aeml-x402.zeabur.app, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-13).
Delivers a three-leg due-diligence gauge for a given LRT (Liquid Restaking Token) covering lifecycle/slashing risk, redemption queue pressure, and collateral cascade exposure across lending markets like Aave/Morpho/Euler.
[3-LEG] Liquid restaking chain, one LRT (?entity=renzo-ezeth): leading NAV deviation measured against ETH, NOT against one dollar -> current current protocol state -> realized lifecycle to impairment, slashing or wind-down (confirmation gate). A sequential chain, not one reading - confidence = how many legs are lit, in order. Sources: onchain and protocol disclosures. Descriptive only, never a forecast or advice. No data -> 422 no_charge, not billed.
Returns a structured JSON object with: (1) named legs covering LRT lifecycle/slashing signal, redemption queue pressure, and collateral cascade exposure; (2) a cross-line narrative describing how the legs interact; (3) provenance with data lineage, freshness basis, and age in hours; (4) an Ed25519-signed citation for offline verification; (5) decision points indicating which entity tags can be swapped for a fresh call; (6) grade and scope disclosures; and (7) a nature disclaimer that this is observational only, not investment advice.
GEThttps://aeml-x402.zeabur.app/gauge/lrt-regionChoose this endpoint when you need a multi-leg, on-chain-verifiable risk snapshot for a specific LRT protocol in a single call — covering slashing, redemption queue dynamics, and downstream lending market cascade risk together. Prefer this over generic DeFi data feeds when you need ETH-NAV peg framing (not USD peg), signed provenance for auditability, and narrative synthesis across the three risk dimensions. Especially suited for restaking allocators, lending market risk agents, and protocol due diligence workflows where verifiability matters.
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
{
"type": "json"
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