Google Cloud

Overview

IndexBox is a cloud-based market intelligence platform that provides structured historical and forecast data on 10,000+ products across 250 countries and regions. The platform supports strategic decision-making through access to datasets on production, consumption, trade, prices, and other market indicators.

To support enterprise customers operating on Google Cloud, IndexBox enables integration through JSON-based API exports that can be ingested by Google Cloud services such as BigQuery, Cloud Storage, and Looker Studio.

Integration Points with Google Cloud

1. BigQuery Compatibility

IndexBox data is available via API in JSON format, structured as columnar time series datasets. These datasets are directly compatible with Google BigQuery:

• JSON or CSV API responses can be exported by clients and uploaded to BigQuery via the standard load interface
• Each record includes metadata such as product ID, HS code, country/region, year, and data fields (e.g. import value, yield, consumption)
• All datasets are normalized to facilitate partitioning and schema inference by BigQuery

2. Cloud Storage Workflow

Customers can export IndexBox datasets via the API and store them in Google Cloud Storage for long-term access and downstream processing:

• IndexBox supports bulk data export through secure HTTPS endpoints
• Exported files can be saved in GCS buckets and versioned by timestamp or product-region

3. Looker Studio Integration (Planned)

IndexBox plans to release tutorials and pre-built connectors for embedding exported datasets into Google Looker Studio dashboards:

• CSV exports can be manually uploaded and refreshed
• Future iterations may include automated feeds for selected indicators

Sample Use Case: Agricultural Imports into GCC

An IndexBox client from the MENA region leverages the IndexBox API to retrieve historical wheat import data by volume and price across Gulf countries. Using a simple scheduled script, the client:

1. Pulls JSON from the IndexBox API once a month
2. Stores it in a GCS bucket
3. Automatically ingests it into BigQuery using a scheduled Cloud Function
4. Uses Looker Studio to visualize regional trends for executive reports

API and Data Access

• API: https://app.indexbox.io/documentation-api
• Auth: Token-based
• Format: JSON (records per country, product, and year)
• Supported fields: production, imports, exports, prices, area harvested, yield, etc.

Summary

IndexBox is not natively hosted in Google Cloud but offers seamless compatibility with the Google Cloud analytics ecosystem. By providing export-ready JSON data and documented API endpoints, IndexBox enables clients to integrate global market insights into BigQuery, Cloud Storage, and Looker Studio environments.

Delivering Global Market Insights via Google Cloud: IndexBox Case Study

Executive Summary

IndexBox, a global market intelligence provider, enables public and private sector users to make data-driven decisions by delivering harmonized economic and trade datasets via its proprietary analytics platform. By aligning with Google Cloud technologies such as BigQuery and Cloud Storage, IndexBox makes integration into enterprise data pipelines simple and scalable.

Business Need

Government agencies, investors, and large manufacturers increasingly rely on cloud-based infrastructures to centralize data analytics. IndexBox needed to ensure that its dataset delivery model aligned with the expectations of enterprise teams working within Google Cloud.

Solution

IndexBox implemented a flexible API delivery model that outputs structured datasets in JSON and CSV formats, ideal for:

• ingestion into Google BigQuery
• long-term storage in GCS
• visualization via Looker Studio

By using scheduled API calls, clients can fetch the latest historical and forecast data for targeted products and regions, and load it directly into Google Cloud environments.

Results

Enterprise clients using IndexBox with Google Cloud report:

• Faster integration into internal BI workflows
• Reduced manual processing with automated ingestion from GCS into BigQuery
• Greater data visibility via custom dashboards in Looker Studio

Conclusion

IndexBox enables scalable integration with the Google Cloud ecosystem, providing global product-market data that supports real-time insight generation. As part of its Google Cloud Ready strategy, IndexBox plans to launch pre-integrated tutorials, connector samples, and dashboard templates for BigQuery and Looker Studio users.