Server definition

Hash: sha256:5f9ca5cb51a02e9bb79506427ce2a158ad9a184793fa9954ca61fe255dd3f2e0
What it is: What a remote MCP server returned when asked what it offers: 8 tools

The blob, as servednamed by its sha256

{
  "instructions": "Discover a dataset with research_catalog, resolve exact series and entity IDs, then request bounded observations. Preserve each row's unit, event_time, knowledge_time, receipt and missing state. Follow next_offset explicitly. Use as_known_at only for captured vintages; uncaptured historical knowledge is unavailable.",
  "tools": [
    {
      "description": "Read descriptive funding, institution concentration and settlement analysis with input references and limits.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "product": {
            "enum": [
              "seiche",
              "liquilens",
              "undertow"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "research_analysis",
      "outputSchema": null
    },
    {
      "description": "Discover scoped funding, institution and chain-settlement datasets with coverage and rights.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "product": {
            "enum": [
              "seiche",
              "liquilens",
              "undertow"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "research_catalog",
      "outputSchema": null
    },
    {
      "description": "Find regulator identifiers for institutions; names are not fuzzy-joined across regimes.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "dataset": {
            "type": "string"
          },
          "limit": {
            "maximum": 10000,
            "minimum": 1,
            "type": "integer"
          },
          "offset": {
            "maximum": 10000000,
            "minimum": 0,
            "type": "integer"
          },
          "q": {
            "type": "string"
          }
        },
        "required": [
          "dataset"
        ],
        "type": "object"
      },
      "name": "research_entities",
      "outputSchema": null
    },
    {
      "description": "Read cited observations or a captured historical vintage. Earlier point-in-time availability is not assumed.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "as_known_at": {
            "type": "string"
          },
          "dataset": {
            "type": "string"
          },
          "end": {
            "type": "string"
          },
          "entity": {
            "type": "string"
          },
          "limit": {
            "maximum": 10000,
            "minimum": 1,
            "type": "integer"
          },
          "offset": {
            "maximum": 10000000,
            "minimum": 0,
            "type": "integer"
          },
          "series": {
            "type": "string"
          },
          "start": {
            "type": "string"
          }
        },
        "required": [
          "dataset",
          "series"
        ],
        "type": "object"
      },
      "name": "research_observations",
      "outputSchema": null
    },
    {
      "description": "Search the metric catalog and native unit definitions in a dataset.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "dataset": {
            "type": "string"
          },
          "limit": {
            "maximum": 10000,
            "minimum": 1,
            "type": "integer"
          },
          "offset": {
            "maximum": 10000000,
            "minimum": 0,
            "type": "integer"
          },
          "q": {
            "type": "string"
          }
        },
        "required": [
          "dataset"
        ],
        "type": "object"
      },
      "name": "research_series",
      "outputSchema": null
    },
    {
      "description": "Analyze the latest captured series for one exact entity, with adjacent change, trailing-window missingness, native units and source receipts. Current analytics are withheld for stale, unavailable or unverified inputs.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "dataset": {
            "maxLength": 100,
            "type": "string"
          },
          "entity": {
            "maxLength": 150,
            "type": "string"
          },
          "series": {
            "maxLength": 150,
            "type": "string"
          },
          "window": {
            "maximum": 260,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "dataset",
          "series"
        ],
        "type": "object"
      },
      "name": "research_series_summary",
      "outputSchema": null
    },
    {
      "description": "Search the existing Indian dossier and RBI registry populations, retaining financial-evidence gaps and source clocks. Populations overlap and are not a global census.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "limit": {
            "maximum": 500,
            "minimum": 1,
            "type": "integer"
          },
          "offset": {
            "maximum": 10000000,
            "minimum": 0,
            "type": "integer"
          },
          "q": {
            "maxLength": 150,
            "type": "string"
          },
          "scope": {
            "enum": [
              "dossiers",
              "rbi_registry"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "research_tracked_institutions",
      "outputSchema": null
    },
    {
      "description": "Read the same coverage, source freshness, gaps and descriptive overview as the website. Compare snapshot_id across REST/MCP; independent source clocks remain explicit.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "product": {
            "enum": [
              "seiche",
              "liquilens",
              "undertow"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "research_workspace",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:5f9ca5cb51a02e9bb79506427ce2a158ad9a184793fa9954ca61fe255dd3f2e0 | sha256sum