Seiche: morning funding review
What does the dollar-funding board say, and which observations are old or missing?
Retain the source-reported regime, source dates and data-quality counts.
Seiche · LiquiLens · Undertow
Check dollar funding, reconcile a bank's disclosed NPAs, or compare a sized BTC exit estimate. Try the public result, then bring that same task into your daily workflow.
No product account, API key or AI model is needed. Public usage limits and your n8n hosting costs apply.
What does the dollar-funding board say, and which observations are old or missing?
Retain the source-reported regime, source dates and data-quality counts.
What changed in the bank's disclosed bad loans?
Separate cash recoveries, write-offs and upgrades. Keep the filing period, source PDF pages, PCR basis and missing ratios.
What do published venue-depth estimates imply at this size?
Show snapshot age, the size rung used and missing depth. Estimates exclude fees and are not executable quotes.
evidence; message_text is the short update.Tool errors stop the run. Stale snapshots suppress current-looking funding readings and BTC costs in the update. A bank's historical, stale or unavailable evidence remains labelled. Full evidence is kept in the execution output according to your n8n retention settings.
These are downloadable native workflows. An official n8n template-library listing is a separate review; no acceptance is claimed here.
Choose your MCP client and connect the relevant public endpoint. The repository's Cursor plugin bundles three focused task skills and the three remote MCP connections.
Seiche https://api.seiche.info/mcp
LiquiLens https://api.liquilens.in/mcp
Undertow https://api.seiche.info/undertow/mcp
Read the task skills · Download MCP configuration · Existing versioned OpenClaw skill
Cursor Marketplace and Hermes catalog inclusion require their maintainers' acceptance. Direct connection works independently of those reviews.
The capture runner produces sources.csv with the source URLs, clocks, gaps and hashes. Download the Power Query reader, paste it into a blank query and invoke it with the local CSV path. All columns remain text.
SELECT * FROM read_csv('sources.csv', header = true, all_varchar = true);
The CSV indexes a retained capture; full source observations remain in packet.json.
Use it in one real research task. Record whether it saved source-gathering time and whether you used it again on another research day. The private scorecard helps compare that outcome against your existing process.