LiquiLens — the Failure Radar
Free bank-filing and counterparty research; cited evidence limits; public MCP needs no API key.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'banking_specialisation_coverage' name length outside 3-30 rangein banking_specialisation_coverage
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"liquilens": {
"url": "https://api.liquilens.in/mcp"
}
}
}Remote endpoints
https://api.liquilens.in/mcpstreamable-httpWhat it can do
Tool inventory
Tools (22)
🟢bank_asset_quality_review(slug, as_of, include_history)
Read a bank's sourced GNPA/NNPA history, percentage-point changes, distinct PCR definitions, capital scope and disclosed NPA stock reconciliation. SFB and UCB review questions are tailored to their funding and supervisory context. Free; no new score, credit approval or execution authority.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"as_of": {
"type": "string",
"format": "date",
"description": "Optional end-of-day evidence cutoff; YYYY-MM-DD, not in the future."
},
"include_history": {
"type": "boolean",
"default": false
}
},
"required": [
"slug"
],
"additionalProperties": false
}🟢bank_npa_reconciliation(statement)
Reconcile a caller-supplied closed NPA movement table: opening stock plus additions less classified reductions equals closing stock. Keeps write-offs, sales, upgrades and cash recoveries distinct. Free arithmetic check; does not authenticate the input or classify individual loans.
Input Schema
{
"type": "object",
"properties": {
"statement": {
"type": "object",
"properties": {
"period_start": {
"type": "string",
"format": "date"
},
"period_end": {
"type": "string",
"format": "date"
},
"amount_unit": {
"type": "string",
"enum": [
"INR_crore",
"INR_lakh",
"INR",
"INR_thousand"
]
},
"opening_gnpa": {
"type": "number",
"minimum": 0,
"maximum": 1000000000000000000
},
"additions": {
"type": "number",
"minimum": 0,
"maximum": 1000000000000000000
},
"closing_gnpa": {
"type": "number",
"minimum": 0,
"maximum": 1000000000000000000
},
"rounding_decimals": {
"type": "integer",
"minimum": 0,
"maximum": 6
},
"complete": {
"type": "boolean"
},
"reductions": {
"type": "array",
"maxItems": 16,
"items": {
"type": "object",
"properties": {
"kind": {
"type": "string",
"enum": [
"cash_recoveries",
"upgrades",
"write_offs",
"asset_sales",
"compromise_settlements",
"combined_reductions",
"other_reductions"
]
},
"amount": {
"type": "number",
"minimum": 0,
"maximum": 1000000000000000000
}
},
"required": [
"kind",
"amount"
],
"additionalProperties": false
}
}
},
"required": [
"period_start",
"period_end",
"amount_unit",
"opening_gnpa",
"additions",
"closing_gnpa",
"reductions",
"complete",
"rounding_decimals"
],
"additionalProperties": false
}
},
"required": [
"statement"
],
"additionalProperties": false
}🟢banking_specialisation_coverage(sector, as_of)
Discover covered Indian commercial, small finance and urban cooperative banks. Separates observed, stale, historical and absent evidence. Free read-only research; this is not a census or rating.
Input Schema
{
"type": "object",
"properties": {
"sector": {
"type": "string",
"enum": [
"all",
"bank",
"sfb",
"ucb"
]
},
"as_of": {
"type": "string",
"format": "date",
"description": "Optional end-of-day evidence cutoff; YYYY-MM-DD, not in the future."
}
},
"additionalProperties": false
}🟢corporate_transmission_board(full)
Answers ONE question: is US funding stress reaching nonfinancial firms? Use household_credit_board for households. CP, bank credit lines and real-economy confirmation; cannot_see preserves gaps. Seiche context never enters regime or transmission. Display-only; no institution score or tier. full:true adds methods.
Input Schema
{
"type": "object",
"properties": {
"full": {
"type": "boolean",
"description": "also return method_note, thresholds and per-leg basis prose (larger payload); default false",
"default": false
}
},
"additionalProperties": false
}🟢crypto_exposure_board
Read the compact cited bank/crypto exposure register: disclosed quantum, stablecoin and venue links, exposure channels, Undertow run-risk cross-read and compound flags. Detailed disclosures stay on the public REST detail route. Takes no arguments; display-only, never an institution score or investment advice.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢crypto_regime_board
Read the compact BTC/ETH Crypto Regime board: current change-point state, log-SR statistic, last shift, observation count and the display-only cross-read against disclosed bank exposure. Time-series paths stay on the public REST detail route. Takes no arguments; feeds no institution score and is not investment advice.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢evidence_europe(slug)
Read seven cited European retrospective case files through unrecalibrated Indian lenses. Named case studies, not a cohort: no European recall percentage to quote. Omit slug for summaries, or supply a returned slug for a full quarterly case file.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "optional kebab-case case-file slug, e.g. 'credit-suisse'; omit for all seven summaries"
}
},
"additionalProperties": false
}🟢evidence_india
Read the 48-institution Indian construction-PIT crisis diagnostic, including misses and false alarms. Uses publication clocks where present and a +60-day filing-lag proxy otherwise; overwritten amendments are unreconstructable. evidence_institution returns a full replay.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢evidence_institution(slug)
Read a sourced Indian construction-PIT quarterly replay, lens alert timing and hit/miss/false-alarm verdict. Use evidence_india for exact slugs. Filing-availability proxies do not establish a validated backtest.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "kebab-case slug of a replayed institution, e.g. 'dhfl' or 'global-trust-bank'"
}
},
"required": [
"slug"
],
"additionalProperties": false
}🟢evidence_markets
Read the historical-evidence headline for each market: India (48-institution construction-PIT diagnostic), United States (industry-wide current-amended-vintage diagnostic), and Europe (named cited case files, deliberately no cohort claim). Takes no arguments. Start here when asked what LiquiLens has tested, then drill into evidence_india, evidence_us or evidence_europe for the full record behind each headline.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢evidence_us(include_trajectories)
Read US bank current-amended-vintage diagnostics and named replays, including misses. Not a validated point-in-time backtest. Report the quarterly top-decile budgeted watchlist beside recall, uncertainty and lead times; it is not an individual-bank verdict. include_trajectories:true adds histories.
Input Schema
{
"type": "object",
"properties": {
"include_trajectories": {
"type": "boolean",
"description": "also return per-quarter score series for the marquee replays (large payload); default false",
"default": false
}
},
"additionalProperties": false
}🟢failure_radar_board
Read fresh-vetted Indian lender rows with failure PDs, disclosure, PCA/SAF, funding and listed-name DD. Scalar market_dd requires tier authority; display-only DD retains clocks and refusal reasons in market_dd_evidence. Discover slugs here, then failure_radar_institution. Research screen, not a credit rating.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢failure_radar_institution(slug)
Read one Indian lender dossier: quarterly PDs and drivers, PCA/SAF headroom, funding, forensic and listed-market evidence. Discover slugs with failure_radar_board. Uncovered institutions remain absent, never scored from memory.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "kebab-case institution slug from a failure_radar_board row, e.g. 'esaf-sfb'"
}
},
"required": [
"slug"
],
"additionalProperties": false
}🟢forward_odds
Read counted Markov transitions and empirical 5/20-day reach odds. Odds are withheld until 60 observed days; counts stay visible and absence is never precision. Historical frequencies are not calibrated forecasts. Display-only, never a state driver.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢household_credit_board(full)
Answers ONE question: is stress reaching US household credit? Use corporate_transmission_board for firms. Delinquency, charge-offs, revolving credit and unscored debt-service context; gaps stay in cannot_see. Display-only; no institution score or watchlist tier. full:true adds methods and histories.
Input Schema
{
"type": "object",
"properties": {
"full": {
"type": "boolean",
"description": "also return method_note, thresholds, labels and full sparklines (larger payload); default false",
"default": false
}
},
"additionalProperties": false
}🟢institution_review_packet(institution)
Build a compact cited human review packet from canonical fresh-vetted Indian radar records. Exact slug or uniquely normalized full name only; no fuzzy matching or new score. Preserves stale/dark gaps and validation hashes. Its content hash detects alteration; it is not attestation or a publication-time proof.
Input Schema
{
"type": "object",
"properties": {
"institution": {
"type": "string",
"description": "exact Failure Radar slug or full institution name"
}
},
"required": [
"institution"
],
"additionalProperties": false
}🟢latest_article
Read today's exact full-text LiquiLens editorial: current institution-risk analysis when the evidence moved, or a labelled historical replay when it did not. Returns the canonical headline, dek, Markdown, evidence clock and passing publication receipt; quote it without regenerating facts.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢rbi_supervisory_tape
Read the latest RBI enforcement and supervisory actions — monetary penalties, licence cancellations and supervisory directions — parsed from rbi.org.in press releases, newest first, each item carrying the RBI's own source URL. Takes no arguments. When no tape snapshot exists on the deployment, says so in a stated note instead of returning silent emptiness.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢research_network(topic, offset, limit)
Connect institution research with Palimpsest's complete source catalog, Seiche funding context, Undertow exit-liquidity evidence and NarcoScope global data. Compact default; set limit for full metadata. No institution identifiers, scores or eligibility changes; source rights stay attached.
Input Schema
{
"type": "object",
"properties": {
"topic": {
"type": "string",
"enum": [
"all",
"china",
"regions",
"information_controls",
"model_evaluations",
"funding",
"institutions",
"liquidity",
"global_data"
],
"default": "all"
},
"offset": {
"type": "integer",
"minimum": 0,
"maximum": 1000,
"default": 0
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 25,
"default": 2
}
},
"additionalProperties": false
}🟢stablecoin_rails_board
Read the compact Stablecoin Rails board: every tracked issuer's peg, redemption-run, direct-chain liability validation, coverage-gated reserve and executable-exit evidence, chain concentration and tripwire state plus the aggregate regime. Series and full receipts stay on the public REST detail route. Takes no arguments; the full oracle state never treats partial evidence as CALM (the separate peg/run alert is retained for compatibility), and the board is not investment advice.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢universe_search(q, classification, layer, limit)
Search the RBI NBFC register by name/CIN substring, classification or regulation layer. Returns official register rows. Supply q or a filter; a filter without q browses that slice. Registration does not establish creditworthiness.
Input Schema
{
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "case-insensitive substring of the registered name or CIN"
},
"classification": {
"type": "string",
"description": "exact RBI classification as it appears in the register, e.g. 'MFI' or 'HFC'"
},
"layer": {
"type": "string",
"enum": [
"Upper",
"Middle",
"Base"
],
"description": "Scale Based Regulation layer filter"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"description": "maximum rows to return (default 20, capped at 50)",
"default": 20
}
},
"additionalProperties": false
}🟢verify_published_record(stream)
Verify a ledger stream by recomputing hash-chain commitments and checking enabled signatures and anchors. Returns the actual verifier verdict, including failures. Verifies record integrity, not economic accuracy.
Input Schema
{
"type": "object",
"properties": {
"stream": {
"type": "string",
"description": "ledger stream name to verify (default 'mfi_watchlist')",
"default": "mfi_watchlist"
}
},
"additionalProperties": false
}Community
Evidence