Morpho Blue Lending Venue Aggregate Statistics is a paid API for AI agents from intel.opusai.work, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-01).
Returns population-level configuration and loss statistics for the Morpho Blue lending protocol, including LLTV distributions by collateral class, curator fee percentiles, utilization data, and the gap between marked bad debt and realized losses across 5,000+ markets and 900+ vaults.
OpusIntelligence publishes observed market measurements as machine-readable feeds. - `GET /v1/regime` - **free**, no payment or account. Current observed market-state label and coarse condition states. - `GET /v1/ecosystem` - **$0.05**. Population statistics for the x402 market itself: how paid demand concentrates across resources and providers, the distribution of repeat usage, price and metadata quality, category mix with demand per listing, and day-over-day change computed from our own daily snapshots. - `GET /v1/shortlist?q=` - **$0.01**. Three ranked x402 services for a stated need, with the raw signals behind the ranking. OpusIntelligence excludes its own services. - `GET /v1/triad` - **$0.02**. Execution measurements for Kalshi event contracts, aggregated and 24-hour lagged. - `GET /v1/treasury-bench` - **$0.02**. A published 45/30/25 BTC/ETH/SOL index specification measured against US Treasury rates, with drawdown, time underwater and rolling-window distribution. - `GET /v1/lending-bench` - **$0.02**. Morpho Blue population statistics read from contract state: LLTV practice by collateral class, fee norms, utilisation, and how concentrated the venue's reliance on individual oracle and interest-rate-model contracts is. Funded markets only. All feeds are impersonal: the same output is served to every caller, with no consideration of any recipient's circumstances. Observed data only, not trading advice. No provider is rated or endorsed. Full notice travels in every response.
Returns a JSON object with venue identifier, coverage metrics (number of vaults, markets, total supplied USD, days observed), loss position (realized loss USD vs marked bad debt USD), curator fee distribution (median and P90), and LLTV practice segmented by collateral class (stablecoin shown in example with P10/median/P90 across market count). No individual vault, curator, or market is identified — these are pure population statistics.
GEThttps://intel.opusai.work/v1/lending-bench?utm_source=zero.xyzChoose this endpoint when you need DeFi lending venue benchmarks specifically for Morpho Blue at a population level — particularly when distinguishing marked bad debt from realized losses, understanding curator fee norms, or establishing LLTV policy baselines by collateral class. Prefer this over on-chain RPC calls when you need pre-aggregated cross-market statistics without identifying individual actors. Not suitable for per-vault or per-market drill-downs, real-time liquidation monitoring, or other lending venues.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"venue": "morpho_blue",
"coverage": {
"vaults": 976,
"markets": 5363,
"supplied_usd": 25799852859,
"days_observed": 1
},
"sample_url": "https://intel.opusai.work/v1/lending-bench/sample",
"loss_position": {
"realized_loss_usd": 4331222,
"marked_bad_debt_usd": 3796782275
},
"curator_fee_norms": {
"fee_p90": 0.15,
"fee_median": 0.07
},
"lltv_practice_by_collateral_class": {
"stablecoin": {
"markets": 900,
"lltv_p10": 86,
"lltv_p90": 94.5,
"lltv_median": 91.5
}
}
}
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