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Run analytical SQL in an embedded database from a local process or Python program.

Read options positioning beside price levels and live hedging estimates

Find unusual ledger transactions and organize the follow-up investigation

Experiment with financial language models, sentiment and forecasts

Compare portfolio risks and test allocation changes before making them

Trace crypto balances and unmatched transactions before preparing reports

Check the holdings and exposures hidden behind ETF names

Query a scholarly research graph of works, authors, sources, institutions, and related entities over a REST API.

Collect application traces, metrics, logs, and error signals with language-specific agents.

Follow CFD markets with chart controls and a separate demo environment

Correlates logs, metrics, traces, and user-experience telemetry for application and infrastructure troubleshooting.

Scan options with your own filters and compare the trade scenarios

Search public trading disclosures and compare the dates behind them

Load, reshape, and analyze labeled tabular and time-series data with Python.

A hosted notebook editor for Python and data work, with SQL cells, collaboration, and interactive reports.

Compare strategy experiments across assets, parameters and historical periods

Build recurring investment plans and compare brokerage account options

Collect automated test results in one place and analyze failures across test runs.

Measure browser page-load and interaction performance with repeatable local or containerized runs.

Build repeatable microscopy image-analysis pipelines

Inspect keyword result pages in bulk and investigate their competitive context.

Browser extension that runs local AI chat, summaries and translation through Ollama.

A browser-based Python notebook environment that runs on hosted compute and can load or share Jupyter notebooks.

Add interactive dashboards and data exploration to an existing software application.