Returns a time series of daily sentiment metrics for a single entity over a specified date range. Sentiment is a quantified signal derived from unstructured text using rule-based and machine-learning methods, indicating likely positive or negative market impact. The response includes daily_sentiment (mean sentiment), sentiment_pressure (abnormal sentiment intensity), and abnormal_media_attention (abnormal media volume).
Query model for time series sentiment request.
Object specifying which identifier you are using to request the sentiment data. You must supply one type and its corresponding value or a list of entities.
The time range for retrieving sentiment data. The expected date format is 'YYYY-MM-DD', for example, '2025-09-02'.
Successful Response