Seiche, LiquiLens and Undertow source data
io.github.beepboop2025/financial-source-data · v1.1.0
Funding histories, bank filings and settlement data with source receipts, units and capture clocks.
MCPremoteno credentialsResearch & educationScience & open data
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 8 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 90/100
What it does: 8 tools · 8 read, 0 write · Research & education
Test call research_workspace: worked (1,074 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: 0
- Read/write annotations: +5
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://api.seiche.info/api/v2/research-data/mcpTools
8 tools listed at last check
research_workspaceRead 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_summaryAnalyze 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_institutionsSearch the existing Indian dossier and RBI registry populations, retaining financial-evidence gaps and source clocks. Populations overlap and are not a global census.research_catalogDiscover scoped funding, institution and chain-settlement datasets with coverage and rights.research_seriesSearch the metric catalog and native unit definitions in a dataset.research_entitiesFind regulator identifiers for institutions; names are not fuzzy-joined across regimes.research_observationsRead cited observations or a captured historical vintage. Earlier point-in-time availability is not assumed.research_analysisRead descriptive funding, institution concentration and settlement analysis with input references and limits.
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Markdown for your README
[](https://clawy.uk/mcp/s/io.github.beepboop2025/financial-source-data)