AI Data Engine™ API

Turboline’s AI Data Engine™ API enables developers at media companies to embed natural language querying and data access directly into their news or sports applications—without building complex backend logic from scratch.

Whether you’re building real-time dashboards, content analytics, or sports performance breakdowns, the API allows your users to query structured and semi-structured data using plain language, turning raw data into actionable content at speed.


Key Features:

  • Natural Language Querying – Let users ask data questions in plain English and get accurate, fast results
  • Optimized for Media Use Cases – Designed for newsrooms, publishing platforms, and sports analytics tools
  • 40+ Data Source Connectors – Integrate with SQL/NoSQL databases, cloud storage, APIs, and editorial systems
  • RESTful Developer API – Easy-to-use endpoints with complete documentation and SDK support
  • Real-Time Query Performance – Built for low-latency, high-volume media environments
  • Dynamic Schema Adaptation – Automatically adapts to schema changes in your content and data sources
  • Secure Deployment – Scalable and compliant with industry-grade encryption and access control
  • Flexible Integration – Plug into editorial dashboards, CMS platforms, or audience analytics products
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Supported Database Sizes

DB Tier SQL DB (Tables) NoSQL DB (Collections) Redis (Keys) Parquet / GeoParquet (Partitions) CSV / JSON / XML (Files) API Endpoints (REST/SOAP) GraphQL (Complexity)
SmallDB 0–50 tables 0–10 collections
<10 GB
0–10,000 keys
<5 GB
0–10 partitions 0–100 files
<10 GB
1–5 endpoints
<100 KB
1–3 shallow queries
<1 MB
MediumDB 51–100 tables 11–50 collections
<50 GB
10,001–100,000 keys
<20 GB
11–50 partitions 101–500 files
<50 GB
6–20 endpoints
100 KB–1 MB
4–15 moderately nested queries
1–5 MB
LargeDB 101–500 tables 51–200 collections
<200 GB
100,001–1,000,000 keys
<100 GB
51–200 partitions 501–2000 files
<200 GB
21–100 endpoints
1–10 MB
16–50 deeply nested queries
>5 MB