LiquiLens — the Failure Radar
Was dieses MCP kann
Provides cited research on bank asset quality, lender failure risk, credit transmission, crypto exposure, stablecoin rails, regulatory actions, and historical diagnostics.
Tools
Eingabeschema
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string'}, 'as_of': {'type': 'string', 'format': 'date', 'description': 'End-of-day YYYY-MM-DD cutoff; not future.'}, 'include_history': {'type': 'boolean', 'default': False}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'as_of': {'type': 'string', 'format': 'date', 'description': 'End-of-day YYYY-MM-DD cutoff; not future.'}, 'sector': {'enum': ['all', 'bank', 'sfb', 'ucb'], 'type': 'string'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['statement'], 'properties': {'statement': {'type': 'object', 'required': ['period_start', 'period_end', 'amount_unit', 'opening_gnpa', 'additions', 'closing_gnpa', 'reductions', 'complete', 'rounding_decimals'], 'properties': {'complete': {'type': 'boolean'}, 'additions': {'type': 'number', 'maximum': 1000000000000000000, 'minimum': 0}, 'period_end': {'type': 'string', 'format': 'date'}, 'reductions': {'type': 'array', 'items': {'type': 'object', 'required': ['kind', 'amount'], 'properties': {'kind': {'enum': ['cash_recoveries', 'upgrades', 'write_offs', 'asset_sales', 'compromise_settlements', 'combined_reductions', 'other_reductions'], 'type': 'string'}, 'amount': {'type': 'number', 'maximum': 1000000000000000000, 'minimum': 0}}, 'additionalProperties': False}, 'maxItems': 16}, 'amount_unit': {'enum': ['INR_crore', 'INR_lakh', 'INR', 'INR_thousand'], 'type': 'string'}, 'closing_gnpa': {'type': 'number', 'maximum': 1000000000000000000, 'minimum': 0}, 'opening_gnpa': {'type': 'number', 'maximum': 1000000000000000000, 'minimum': 0}, 'period_start': {'type': 'string', 'format': 'date'}, 'rounding_decimals': {'type': 'integer', 'maximum': 6, 'minimum': 0}}, 'additionalProperties': False}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'full': {'type': 'boolean', 'default': False, 'description': 'also return method_note, thresholds and per-leg basis prose (larger payload); default false'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'slug': {'type': 'string', 'description': "optional kebab-case case-file slug, e.g. 'credit-suisse'; omit for all seven summaries"}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': "kebab-case slug of a replayed institution, e.g. 'dhfl' or 'global-trust-bank'"}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'include_trajectories': {'type': 'boolean', 'default': False, 'description': 'also return per-quarter score series for the marquee replays (large payload); default false'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': "kebab-case institution slug from a failure_radar_board row, e.g. 'esaf-sfb'"}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'full': {'type': 'boolean', 'default': False, 'description': 'also return method_note, thresholds, labels and full sparklines (larger payload); default false'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'q': {'type': 'string', 'maxLength': 150}, 'limit': {'type': 'integer', 'maximum': 500, 'minimum': 1}, 'scope': {'enum': ['dossiers', 'rbi_registry'], 'type': 'string'}, 'offset': {'type': 'integer', 'maximum': 100000, 'minimum': 0}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'required': ['institution'], 'properties': {'institution': {'type': 'string', 'description': 'exact Failure Radar slug or full institution name'}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'default': 2, 'maximum': 25, 'minimum': 1}, 'topic': {'enum': ['all', 'china', 'regions', 'information_controls', 'model_evaluations', 'funding', 'institutions', 'liquidity', 'global_data'], 'type': 'string', 'default': 'all'}, 'offset': {'type': 'integer', 'default': 0, 'maximum': 1000, 'minimum': 0}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'q': {'type': 'string', 'description': 'case-insensitive substring of the registered name or CIN'}, 'layer': {'enum': ['Upper', 'Middle', 'Base'], 'type': 'string', 'description': 'Scale Based Regulation layer filter'}, 'limit': {'type': 'integer', 'default': 20, 'maximum': 50, 'minimum': 1, 'description': 'maximum rows to return (default 20, capped at 50)'}, 'classification': {'type': 'string', 'description': "exact RBI classification as it appears in the register, e.g. 'MFI' or 'HFC'"}}, 'additionalProperties': False}
Eingabeschema
{'type': 'object', 'properties': {'stream': {'type': 'string', 'default': 'mfi_watchlist', 'description': "ledger stream name to verify (default 'mfi_watchlist')"}}, 'additionalProperties': False}
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