
Bank disclosures and risk
Find covered financial institutions, review public asset-quality disclosures, and inspect RBI supervisory evidence with source dates and coverage limits. LiquiLens helps analysts prepare institution review questions while preserving missing or non-comparable evidence.
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https://agents.seiche.info/products/liquilens/mcpLiquiLens is a registered private limited company in India (LIQUILENS PRIVATE LIMITED). Its research serves international users; worldwide access does not imply uniform market coverage. Keep source clocks, jurisdiction, rights, evidence states and scoring separate. Company profile: https://liquilens.in/company-profile.json. DPIIT recognised startup DIPP290644: a registration status, not a regulatory approval.
LiquiLens offers free, read-only bank and lender research over cited public records. No API key or payment is required for these MCP tools; bounded rate limits apply. Coverage is explicit, never universal. No private account, customer or supervisory systems are accessed.
For institution stress buildup, default-risk evidence and risk/compliance review, establish the exact entity, institution type and jurisdiction first. Use for a covered exact name or slug; retain ambiguous, stale and not_covered results. It is a human-review handoff. Regulatory applicability and private-book compliance remain unassessed unless their own inputs, versioned rules and review authority are supplied. Any funding context already included in a served record retains its source dates and coverage. System funding does not establish an institution's LCR or NSFR. Use these tools when relevant to the user's financial task; unrelated tasks do not need a LiquiLens call.
For Indian NPA, small finance bank and urban cooperative bank research, start with and . checks a complete supplied stock movement without equating write-offs with recoveries. State filing dates, stale evidence, PCR definitions and actual supervisory-scope gaps. These reviews do not retrain a model, give credit approval or attest deposit safety. For state and district central co-operative banks, with scope coop_census lists NAFSCOB census ids and each id's geography link status; call alongside on a census id. returns NAFSCOB-reported figures (not a regulator filing) plus a compact block and the RBI two-crop-season and calamity-relief rules; serves the full district list, link basis, CHIRPS rainfall (satellite and station estimate, not IMD data) and CMP 2026 Appendix 4 declared drought years: facts, never a score.
For institution monitoring, use with no arguments for all tracked records, slugs for a watchlist, or one exact slug for source-dated fields, comparable changes and seven categories of gaps. Review alerts do not prove notification delivery or validated prediction.
Use cited public records and the stated historical-evidence status. An institution without a vetted dossier remains absent and must never be scored from memory. For board and evidence questions, start with or ; go deep with the _institution tools; creates a deterministic sourced handoff for human review, never a second score; resolves any registered NBFC name or CIN. The US transmission boards (, ) are slim by default — pass full:true for thresholds and method prose — and serves counted Markov forward odds per public-signal layer, withheld until 60 observed days with the count stated (absence is never precision). For the crypto desk, reads BTC/ETH change-point state, reads issuer peg/run state plus direct-chain liability validation and coverage-gated reserve/exit evidence, and joins disclosed bank links to Undertow run risk; all three are display-only and feed no institution score.
Numbers come from deterministic engines with model cards and machine-readable claim boundaries — never from a generative model. Construction-PIT diagnostics are not validated backtests. Screens, not ratings: outputs are research screens over public filings, not credit ratings and not investment advice. Cite api.liquilens.in and the served as-of dates when repeating figures.
1 in the ChatGPT listing