Workflow

• Node-based orchestration
• Flow canvas editing
• Save and reuse flows
• Test runs linked with results

• Break one data-processing task into ordered nodes: clean input, transform structure, filter fields, generate text, or export a target format.
• Use it for repeatable or maintained chains such as log cleanup, JSON field normalization, report export, and API payload preparation.
• Each node receives the previous result, so order, enabled state, and parameters are part of the workflow behavior.
• Text Processing is for quickly running saved flows; Workflow is for building, testing, saving, and maintaining the flows themselves.

• Text: trim, normalize newlines, split, join, sort, deduplicate, filter, extract with regex, and convert naming style.
• JSON: parse, format, convert, set/remove/pick fields, filter by condition, iterate arrays or fields, flatten and unflatten.
• Generation: create code types from JSON, create JSON Schema from code, and generate mock data from schema.
• URL, time, and templates: parse URLs, encode parameters, convert timestamps and time zones, and render processed fields into text templates.
• Encoding, security, and Web3: Base64, hex, Unicode, digest/HMAC, compression, KDF, JWT parsing, ABI selectors, Topic0, address checks, and unit conversion.

These examples are based on the workflow node test flows and can be used as starting points.

• Clean logs and extract alerts: normalize lines, filter ERROR entries, extract fields with regex, then filter and format JSON.
• Turn a user ID list into an SQL fragment: split, deduplicate, sort, wrap values, and join the result.
• Repair webhook payloads: parse JSON, expand stringified fields, set or remove fields, then stringify the target structure.
• Tag and filter order arrays: iterate JSON items, transform keys and values, filter orders, and keep only the required fields.
• Export reports and API formats: filter JSON and convert it to CSV, Query String, YAML, TOML, or XML.
• Generate release notices: convert timestamps and time zones, then render processed fields into a reusable template.
• Create auth and security snippets: generate Basic Authorization, parse JWT, compute digest/HMAC, or compress archive text.
• Assist Web3 debugging: generate selectors or Topic0, validate checksummed addresses, and convert Wei amounts before picking fields.

• Convert the input into the type expected by downstream nodes before adding filtering or generation steps.
• Field paths, array iteration, and template variables depend on upstream output structure; rerun the flow after upstream changes.
• Place generation nodes near the end, for example after cleaning and filtering sample JSON.
• Before saving, test the flow with representative examples including missing fields, empty values, and invalid formats.