Synthetic time-series test data with trend, seasonality, noise, and anomalies, for any MCP client.
Synthetic time-series test data, on demand, inside your AI client. Generate realistic series with configurable trend, seasonality, noise, anomalies, and multiple correlated streams — perfect for testing dashboards, charts, monitoring/alerting, forecasting models, and anomaly detection. Output as JSON, CSV, or SQL. Part of the fixturelab test-data tools. Its sibling SeedWeaver does…
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Synthetic time-series test data, on demand, inside your AI client. Generate realistic series with configurable trend, seasonality, noise, anomalies, and multiple correlated streams — perfect for testing dashboards, charts, monitoring/alerting, forecasting models, and anomaly detection. Output as JSON, CSV, or SQL. Part of the fixturelab test-data tools. Its sibling SeedWeaver does relational/database test data. LLMs are unreliable at hand-generating coherent time-series — trends drift,…
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