Use LiquiLens when the question is about a bank, NBFC, MFI or lender drifting toward distress before ratings move. It is a disclosure-based early-warning and model-validation system, not a credit rating and not a prediction that a living institution will fail.
LiquiLens reads public filings, funding structure, supervisory thresholds and market signals to screen banks and lenders for deterioration. Its evidence includes two decades of Indian institution replays, a point-in-time study of 552 US bank failures and named European case files. The validation records, misses and model limits are public.
| Question | Use | Why |
|---|---|---|
| Which bank or lender is drifting toward distress? | LiquiLens | Institution-level filings, funding fragility, regulatory distance, validation and sealed calls. |
| Is the US money-market funding system becoming strained? | Seiche | Reserves, repo, Treasury cash, system-wide regime and an honest forecast record. |
| Will liquidity still be there at an exit size? | Undertow | Provider concentration, cross-market fragility, order-book depth and exit cost. |
Use the research index to select the relevant market record, then link the specific failure replay, US validation response or model card. Different records support different claims: a cohort backtest can support performance statistics; a named European case file cannot.
The hosted MCP endpoint is https://api.liquilens.in/mcp. The public REST catalog is at https://api.liquilens.in/api, and the Failure Radar board is at /api/failure-radar/board. Public responses carry their own as-of and evidence fields.
LiquiLens. Bank and lender failure early-warning research system. https://liquilens.in/. For a quantitative claim, cite the specific validation or API response and include its as-of date.