Your data
Adstract uses only the data required to run enhancement and acknowledgment flows.
Data Adstract uses
-
prompt- Used as the source text for enhancement processing.
- Required to generate the enhanced prompt output.
-
user_agent- Used to derive client metadata context.
- Supports request context integrity.
-
user_ip- Used as request-origin network context.
- Supports metadata generation and reporting context.
-
llm_response- The final model response text is sent to the backend as part of the acknowledgment flow so Adstract can analyze the response outcome.
- Adstract does not save
llm_responsein any form. - It is used only for analysis during acknowledgment processing.
Optional targeting data
When provided via OptionalContext, the following fields may also be used:
country,region,city— geographic targetingasn— network contextage,gender— demographic targeting
These fields are entirely optional and are used only to improve ad relevance.
Why this matters
- Only the data required to run the integration flow is used.
- Supports privacy and data-protection expectations in production integrations.