American Default Research

Last 30 days

Uptime

100%

Response time

215 ms typical, 215 ms slowest 5%

Last check

2 h ago

Next check

in 4 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "american-default-research": {
      "type": "http",
      "url": "https://mcp.americandefault.org/mcp"
    }
  }
}

6 tools

• get_indicator

  Fetch a compact snapshot of an American Default economic indicator by slug. Returns latest value, unit, frequency, direction, pre-computed aggregates (period averages, extremes, sustained runs), editorial prose (when available), and canonical APA / MLA / Chicago / news-copy citat

• get_indicator_v2

  Fetch an explicitly versioned compact indicator snapshot. Returns the latest value and canonical citation plus `trend_suppressed` and `series_breaks` comparison-safety fields. Callers must pass `response_version='v2'`; unsupported versions fail closed. The legacy `get_indicator`

• get_county_scorecard

  Fetch a county's County Distress Index (CDI) scorecard by 5-digit FIPS code. Returns composite score (0-100), score label, national + state rank, 5-domain breakdown (Delinquency, Default & Legal, Debt Burden, Labor, Safety Net & Buffer), key findings, and pre-baked APA / MLA / Ch

• get_adi_composite

  Fetch the latest quarterly reading of the American Distress Index (ADI) composite. Returns the composite score (0-100), band (1-5) with its label and the literal reading gloss, the composite's own rank in history, and the five-domain breakdown (Delinquency, Default & Legal, Debt

• search_indicators

  Search the 103-indicator registry by keyword. Returns ranked matches (up to `limit`, default 10, max 50) with slug, branded name, underlying name, category, and canonical URL. Scoring is substring+prefix over slug, branded_name, name, and category — e.g. query 'savings' returns b

• get_cross_correlations

  Fetch statistically-validated leading/lagging relationships for an indicator. Source: the five-filter leading-indicator scanner (cross-correlation → first-differenced CCF → multi-crisis validation → Granger causality → out-of-sample validation). Returns two lists: `as_leader` (pa

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