Zovda
Most teams that work with social data start with one platform, then add another, then another. Each integration brings its own field names, rate limits, and response shape, so the analytical layer gets rebuilt every time a source is added. Datuva takes a different route: one schema, 100+ unified fields, and 6 platforms covered, refreshed by the minute, daily, or weekly.
The cost of fragmentation
Fragmentation rarely shows up as a single big problem. It shows up as small, repeated work:
- Every new platform means a new integration and a new set of identifiers.
- The same concept — author, post, engagement, timestamp — is named differently in each response.
- Reporting logic is duplicated per integration, so a definition change has to be applied in several places.
- Adding a source requires engineering work rather than configuration.
One schema instead of many
The platform normalizes content, authors, engagement, and time into one set of unified fields, so a query written for one source works for the rest.
- 100+ unified fields across content, author, engagement, and time.
- 6 platforms covered behind one access pattern.
- 30+ data APIs for teams that need narrower, task-specific queries.
- REST + MCP access for products built on agents, RAG pipelines, or copilots.
- Refresh by the minute, daily, or weekly, depending on the data type.
What the unified layer gives you
- Trend detection. Rising keywords and sentiment shifts, read on the cadence you choose.
- Sentiment analysis. Positive, neutral, and negative scoring per post and per period, including multilingual content.
- Benchmarking. Share of voice and engagement comparisons across markets and competitors.
- Reporting. Dashboards and CSV exports, plus scheduled alerts when a keyword or sentiment threshold is crossed.
How teams put it to work
- Launch monitoring. Follow reception in the first days after a release and compare it by market.
- Creator programs. Compare creator performance and rate context before a renewal conversation.
- Research. Pull historical posts into a study with stable field names, so the dataset does not need reshaping.
- AI products. Feed agents and retrieval pipelines from one schema instead of stitching several integrations together.
Access and trial
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. The social media data API overview covers what the unified layer replaces in practice.
About Datuva
Datuva by Zovda builds data APIs for teams working with social platforms: 6 platforms, 100+ unified fields, 30+ data APIs.