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TimeWeaver

from FixtureForge

Synthetic time-series test data with trend, seasonality, noise, and anomalies, for any MCP client.

๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅโœ“ VerifiedFreeQuick setup

TimeWeaver MCP

Synthetic time-series test data, on demand, inside your AI client. Generate realistic series with configurable trend, seasonality, noise, anomalies, and multiple correlated streams โ€” 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.

Why

LLMs are unreliable at hand-generating coherent time-series โ€” trends drift, "seasonality" doesn't actually repeat, and correlations between series are fake. TimeWeaver generates data with verifiable statistical properties: a linear trend really has the slope you asked for, a seasonal cycle really repeats at its period, two correlated series really hit the target correlation, and AR(1) noise really has the autocorrelation you set.

Tools

  • generate_timeseries โ€” generate data from a preset and/or explicit components (length, frequency, baseline, trend, seasonality, noise, anomalies, correlated series). Output JSON / CSV / SQL.
  • list_presets โ€” list built-in presets: ecommerce_sales, server_cpu, iot_temperature, website_traffic, stock_price, api_latency_ms.

Examples

"Generate 90 days of daily e-commerce sales using the ecommerce_sales preset."

"Generate 3 correlated server CPU series over 500 minutes with correlation 0.8, as CSV."

"Make an hourly temperature series with a daily cycle and a level shift on day 5, as SQL into a table called readings."

Free vs Pro

FreePro
Points per series200up to 100,000
Series1up to many, correlated
Trendnone / linear+ exponential, logistic
Seasonality1 cyclemultiple cycles
Noisegaussian+ AR(1) autocorrelated
Anomaliesโ€“spikes, level shifts, trend changes, dropouts
OutputJSON+ CSV, SQL
Deterministic seedโ€“โœ“

Pro: $19/mo or $39 one-time โ†’ https://fixtureforge.gumroad.com/l/timeweaver