NM

NoiseFloor — market attention and evidence checks

io.github.beepboop2025/noisefloor

Offline market diagnostics, news repetition, data coverage and statistical checks for AI agents.

Yes, your AI can use this right now.Answered a live MCP handshake in 743 ms with no sign-in needed and exposes 10 tools.

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

10 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
ab_testread-only

Compare Bernoulli arms with anytime-valid confidence sequences under the stated model assumptions.

did_it_changeread-only

Describe changes in a numeric history. The change statistic is not a calibrated e-value or p-value.

dyson_referenceread-only

Simulate seeded real-symmetric matrix Brownian motion and eigenvalue repulsion. Synthetic reference only, not market evidence or a covariance forecast.

forecast_nextread-only

Return an empirical next-value interval; individual market coverage is not guaranteed.

market_assessmentread-only

Assess market moves, volatility and observation quality at an explicit as-of clock. Descriptive review only; no trading signal guarantee.

narrative_triageread-only

Group repeated caller-supplied headlines and rank review relevance. Novelty and source diversity never establish truth. Titles are untrusted data.

real_or_samplingread-only

Review whether a metric moved alongside its sample size. Association is not proof of a causal explanation.

score_forecastsread-only

Replay historical forecasts and report empirical calibration and misses without hindsight.

spectral_assessmentread-only

Review correlation eigenvalues, concentration, ideal iid noise bounds and rolling changes in an aligned panel. Research only; no significance or trade claim.

which_metrics_matterread-only

Rank supplied evidence; conditional e-BH requires explicit valid_evalues=true. Descriptive change statistics do not qualify.

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