NoiseFloor — market attention and evidence checks

Connect Remote server

claude mcp add --transport http noisefloor https://api.seiche.info/noisefloor/mcp

{
  "mcpServers": {
    "noisefloor": {
      "url": "https://api.seiche.info/noisefloor/mcp"
    }
  }
}

{
  "servers": {
    "noisefloor": {
      "type": "http",
      "url": "https://api.seiche.info/noisefloor/mcp"
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://api.seiche.info/noisefloor/mcp

Tools 10 found in our last check

• ab_test

  Compare two cumulative binary-outcome experiment arms to decide whether either success rate is higher. Use for conversions or other Bernoulli outcomes with constant conditional success probabilities; use did_it_change for an ordered numeric metric, not these counts. The beta-bin…

• did_it_change

  Scan one chronological numeric metric for departures from its own preceding observations, using a descriptive rank-based Shiryaev-Roberts monitor. Use this for a change-review queue; choose real_or_sampling when a measurement denominator may explain the movement, market_assessme…

• dyson_reference

  Generate a seeded synthetic real-symmetric Brownian-matrix path to illustrate eigenvalue repulsion (beta=1). Use for reproducible numerical education or research references; choose spectral_assessment to analyze observed market panels. No market data is accepted or fetched. All…

• forecast_next

  Estimate the next observation of one numeric series using the last value as a point forecast and adaptive historical absolute-error quantiles for an empirical interval. Use for a one-step baseline or uncertainty display; choose score_forecasts to check this same method on histor…

• market_assessment

  Build a source-aware review queue for caller-supplied market series at an explicit UTC as_of cutoff, checking moves, volatility, missing data and measurement coverage. Use when provenance and freshness matter; use did_it_change for an unannotated numeric history or spectral_asse…

• narrative_triage

  Deduplicate and prioritize a caller-supplied headline collection for human or agent review at a UTC as_of cutoff. Use for wording repetition, entity focus and possible corrections; choose market_assessment for numeric observations. No articles or URLs are fetched. Titles are unt…

• real_or_sampling

  Review whether the latest numeric metric departure persists after accounting for its historical linear association with measurement sample size. Use when both a dashboard metric and its coverage denominator are available; choose did_it_change when no denominator is known. Requir…

• score_forecasts

  Backtest NoiseFloor's own one-step forecast on chronological historical prefixes, issuing before observing and then updating without hindsight. Use to evaluate forecast_next's coverage and misses; this tool does not accept externally supplied predictions. At least 20 readings ar…

• spectral_assessment

  Analyze shared correlation structure and rolling concentration in a caller-defined comparable panel. Use for research on shared movements across at least two series; choose market_assessment for individual move/freshness review, or dyson_reference for a wholly synthetic illustra…

• which_metrics_matter

  Rank a named board of nonnegative evidence scores for review. By default valid_evalues=false: arbitrary nonnegative scores are ranked descriptively and selected stays empty. Set valid_evalues=true only when every input has a justified null expectation at most one; then e-Benjami…

Details

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