Seiche, LiquiLens and Undertow source data

Last 30 days

Uptime

100%

Response time

130 ms typical, 130 ms slowest 5%

Last check

3 h ago

Next check

in 2 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "seiche-liquilens-and-undertow-source-data": {
      "type": "http",
      "url": "https://api.seiche.info/api/v2/research-data/mcp"
    }
  }
}

8 tools

• research_workspace

  Read the same coverage, source freshness, gaps and descriptive overview as the website. Compare snapshot_id across REST/MCP; independent source clocks remain explicit.

• research_series_summary

  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.

• research_tracked_institutions

  Search the existing Indian dossier and RBI registry populations, retaining financial-evidence gaps and source clocks. Populations overlap and are not a global census.

• research_catalog

  Discover scoped funding, institution and chain-settlement datasets with coverage and rights.

• research_series

  Search the metric catalog and native unit definitions in a dataset.

• research_entities

  Find regulator identifiers for institutions; names are not fuzzy-joined across regimes.

• research_observations

  Read cited observations or a captured historical vintage. Earlier point-in-time availability is not assumed.

• research_analysis

  Read descriptive funding, institution concentration and settlement analysis with input references and limits.

Security scan

• No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

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