Format Detect, Query, and Export SQL
Detect payload format, run unified extraction queries, then emit SQL insert statements.
Use case
Use this when mixed-format incident data must be triaged and quickly loaded into relational analysis tables.
What to expect
Follow the steps from left to right for a quick overview, then use the inline stepper below to run each tool.
Detect payload format, run unified extraction queries, then emit SQL insert statements.
Format Detection Tool
TEXT → JSON
Detect format
JSON report with detected format and parser confidence.
Unified Query Tool
TEXT → TEXT / JSON
Run unified query
Mode-specific query output for the supplied data payload.
JSON to SQL Converter
JSON → SQL
Convert to SQL
Review the result here before moving to the next step.
Workflow steps
Workflow shortcut
Next unlocked step: Step 1 · Format Detection Tool
Format Detection Tool
Auto-detect whether input is JSON, XML, YAML, CSV, or plain text.
Unknown payload input
Paste payload text to identify likely format and confidence.
Detection report
JSON report with detected format and parser confidence.
Run this step to process the current input and prepare the next workflow stage.
Unified Query Tool
Run JSONPath, XPath, XQuery-subset, YAMLPath, and JSONata queries through one tool.
Unified query input (JSON envelope)
Provide { "mode": "jsonpath|xpath|xquery|yamlpath|jsonata", "query": "...", "data": "..." }.
Unified query result
Mode-specific query output for the supplied data payload.
Run this step to process the current input and prepare the next workflow stage.
JSON to SQL Converter
Convert JSON row objects into SQL INSERT statements.
JSON input
Provide json input for this workflow step.
SQL output
Review the result here before moving to the next step.
Run this step to process the current input and prepare the next workflow stage.