salesforce-query

You can query Salesforce data using natural language by translating your text into SOQL automatically. This approach returns results as markdown tables, reducing manual SOQL effort and enabling ad-hoc data exploration.

Yes, querying Salesforce objects supports related fields like Account.Name and Owner.Name. On-demand schema discovery ensures accurate field references and relationships across Account, Opportunity, Contact, Lead, and Case objects.

No, this natural language Salesforce query approach executes read-only SOQL statements only. It satisfies token-based authentication and transparent SOQL display to ensure data is retrieved safely without modifying or deleting records.

To run natural language Salesforce queries, you need a valid Salesforce authentication token and the Python requests dependency. The environment handles on-demand schema discovery to map your plain text to standard objects accurately.

When handling ambiguous natural language requests for Salesforce data, the tool prompts for clarification to ensure correct results. It validates fields against the discovered schema before generating and executing the read-only SOQL query.

The best way to explore Salesforce Opportunity data without knowing exact field names is using on-demand schema discovery. This mechanism automatically maps your natural language request to valid fields and returns formatted markdown tables.