Execute Python code in a sandboxed environment with MCP tool access.

Execute JavaScript or Python code securely with comprehensive error handling and security measures

Get the Senzing JSON analyzer script with commands to validate and analyze mapped data files client-side. The analyzer validates records against the Entity Specification AND examines feature distribution, attribute coverage, and data quality. Returns the Python script (no dependencies) with instructions. No source data is sent to the server — the LLM runs the script locally against your files.

Execute Python code in a sandboxed subprocess. Returns stdout, stderr, returncode. Imports, file I/O, network access, and OS commands are blocked.

Execute JavaScript or Python code with dynamic input variables that can be defined and passed as key-value pairs

Execute a single dry run against a version. Tests how rules evaluate given input facts without side effects. Example input: { "facts": { "payment_amount": 100000, "customer_tier": "VIP" } } Always dry-run before publishing to validate rule behavior.