Zovda
A negative comment can spread within hours. Brands need to read volume, sentiment, and spread across 6 major platforms at the same time, and manual review or a patchwork of integrations rarely keeps up. Datuva normalizes content from those platforms into one set of fields and refreshes it by the minute, daily, or weekly, so social listening becomes something you can read the same day rather than summarize after the fact.
The problem: data is scattered, monitoring turns into firefighting
- Data silos. Field names, timestamps, and engagement definitions differ by source, so analysis is rebuilt on every integration.
- Lag. Manual or semi-automated collection arrives after the conversation has already moved.
- Shallow analysis. Volume without sentiment or topic attribution makes it hard to decide whether, and where, to intervene.
The approach: one set of fields across 6 platforms
The platform normalizes content, authors, engagement, and time into one set of unified fields, so the same query pattern reads every source; field coverage and historical pulls are described in the dataset overview.
- 100+ unified fields. Author, content, engagement, and time defined once.
- 6 platforms covered. One access pattern for all sources.
- 30+ data APIs. Narrower questions can call the specific API.
- Sentiment analysis. Positive, neutral, and negative per post and per period, multilingual.
- Alerts and reporting. Custom keywords and thresholds, dashboards, and CSV exports.
- REST + MCP. The same data feeds dashboards and internal AI tools.
Typical workflows
- Brand reputation. Track volume and sentiment by market, read the direction first, then the specific topics.
- Competitor tracking. Compare share of voice and engagement in the same window to see the pace competitors set.
- Topic planning. Watch how hashtags migrate, and build the next content calendar on what the data shows.
- Review and archive. Keep historical rows in one schema, so quarterly reviews do not start with a cleaning project.
Refresh and access
Data is refreshed by the minute, daily, or weekly depending on the data type and the decision it supports. Access is REST + MCP. A trial includes 100 API calls per day for 7 days; once your use case is confirmed, we open the trial account and share the technical details your team needs.
About Datuva
Datuva by Zovda builds data APIs for teams working with social platforms: 6 platforms, 100+ unified fields, 30+ data APIs.