LiquiLens — the Failure Radar

Free bank-filing and counterparty research; cited evidence limits; public MCP needs no API key.

Sollte ich dies verwenden

Qualität und Sicherheit

B
Qualität der Beschreibung
95%
Vollständigkeit des Schemas
65%
Qualität der Benennung
80%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (1)

  • LOWTool 'banking_specialisation_coverage' name length outside 3-30 rangein banking_specialisation_coverage

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~3,404Tokens (Tool-Definitionen)
~648 BTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (2.66% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "liquilens": {
      "url": "https://api.liquilens.in/mcp"
    }
  }
}

Remote-Endpunkte

https://api.liquilens.in/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (23)

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🟢bank_asset_quality_review(slug, as_of, include_history)

Sourced GNPA/NNPA, percentage-point changes, PCR definitions, capital scope and NPA reconciliation with SFB/UCB context. Free; no score, credit or execution authority.

Eingabe-Schema

{
  "type": "object",
  "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
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢bank_npa_reconciliation(statement)

Check supplied NPA stock movements. Keep recoveries, write-offs, sales and upgrades distinct. Free arithmetic; no input authentication or loan classification.

Eingabe-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)

Indian bank, SFB and UCB coverage with observed, stale, historical and absent evidence. Free research; not a census or rating.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "sector": {
      "type": "string",
      "enum": [
        "all",
        "bank",
        "sfb",
        "ucb"
      ]
    },
    "as_of": {
      "type": "string",
      "format": "date",
      "description": "End-of-day YYYY-MM-DD cutoff; not 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.

Eingabe-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.

Eingabe-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.

Eingabe-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.

Eingabe-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.

Eingabe-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.

Eingabe-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

Historical evidence: India (48-institution construction-PIT diagnostic), US (industry-wide current-amended vintage), Europe (named cases, no cohort claim). Start here, then evidence_india, evidence_us or evidence_europe for details.

Eingabe-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.

Eingabe-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.

Eingabe-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.

Eingabe-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.

Eingabe-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.

Eingabe-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_research_coverage(scope, q, limit, offset)

Search Indian dossiers or RBI rows and evidence gaps. Populations overlap; do not infer identity or financial coverage from registry presence. Research only; no scoring.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "scope": {
      "type": "string",
      "enum": [
        "dossiers",
        "rbi_registry"
      ]
    },
    "q": {
      "type": "string",
      "maxLength": 150
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 500
    },
    "offset": {
      "type": "integer",
      "minimum": 0,
      "maximum": 100000
    }
  },
  "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.

Eingabe-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.

Eingabe-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.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢research_network(topic, offset, limit)

Route to Palimpsest sources, Seiche funding, Undertow exit liquidity and NarcoScope data. Set limit for full metadata. Rights remain attached; no identity, score or eligibility changes.

Eingabe-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.

Eingabe-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.

Eingabe-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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "stream": {
      "type": "string",
      "description": "ledger stream name to verify (default 'mfi_watchlist')",
      "default": "mfi_watchlist"
    }
  },
  "additionalProperties": false
}

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