# 7. FAQ / Common Questions **How is data cleaned?**\ We source data through public web scraping and licensed commercial agreements. All raw data shown in the Structured Insights portion of the platform is standardized, validated, and processed to ensure consistency before it flows into forecasts and trackers. Raw data can also be viewed as collected (in its raw format) on our Unstructured Data section. **How does it differ from Similarweb / Yipit / M Sci?**\ TickerTrends is social-first. While others focus heavily on transactional or panel data, we believe social signals like impressions, followers, and engagement act as early leading indicators for consumer demand and eventual point-of-purchase behavior. **Can it be combined with my internal models?**\ Yes. Data can be exported in CSV format or pulled via API and S3 bucket delivery, making it easy to integrate with your existing models or internal workflows. **Compliance / privacy**\ Our data is fully anonymized and contains no personally identifiable information (PII). We do not scrape behind paywalls or spoof logins, and only display third-party data where we have the proper commercial permissions. **Backtest**\ We display a pearson r correlation across many consumer interest trackers to historical KPIs. We also allow users to select any two keywords in the "***Unstructured Data***" section and instantly see the correlation value of any data source with revenue (or any other time series) for example. At TickerTrends, we have developed this KPI forecasting methodology specifically with the use case of taking unstructured data and converting this directly into actionable forecasts for hundreds of tickers. **Can I access data via API?**\ Yes. We offer full API access for programmatic integration. Contact **** for details. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.tickertrends.io/tickertrends/documentation-v2/7.-faq-common-questions.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.