For Researchers & Journalists

Structured ownership data, source-linked and auditable

Switch To India is built as a neutral data resource — not advocacy. Every brand classification is traceable, every methodology assumption is published, and API access is available for programmatic research.

Data model

Source-linked profiles

MCA, company filings, disclosed data

API access

v1 REST endpoints

Key auth, rate limiting, metering

Classification

0–100 ownership score

Equity + control + revenue + manufacturing

Data capabilities

Six ways to access the intelligence

From web-based analysis tools to programmatic API access, the platform supports both exploratory research and systematic data collection.

Research use cases

What researchers are doing with this data

Academic researchers

  • Measuring FDI penetration in India's FMCG sector by category
  • Correlating brand origin with price segment across consumer categories
  • Analysing ownership concentration post-liberalisation
  • Building consumer preference datasets by brand nationality

Journalists & media

  • Fact-checking claims about 'Indian brands' from companies and PR firms
  • Building data-driven stories about foreign control in everyday products
  • Sourcing verifiable ownership data for investigations
  • Comparing brand portfolios of Indian vs. foreign conglomerates

Think tanks & NGOs

  • Generating sector-level reports on economic self-reliance
  • Tracking Atmanirbhar Bharat progress by product category
  • Benchmarking Indian brand market share against targets
  • Producing white papers on economic sovereignty in consumer markets

Enterprise API access

Programmatic access for systematic research

The Ownership API gives researchers structured access to brand profiles, ownership scores, and segment aggregates — without manual data collection. API keys, rate limiting, and enterprise workspaces included.

API capabilities

  • Structured JSON responses with ownership scores
  • Parent company and control chain resolution
  • Segment and category aggregation endpoints
  • Rate-limited API key management
  • Per-request usage metering
  • Watchlist monitoring for ownership changes
  • Versioned endpoints (v1 stable)
  • Enterprise workspace and team access

Methodology transparency

Built to be cited, not just read

For data to be usable in research, the methodology must be fully transparent. Here's how we ensure that.

Source-linked

Every data point traces to a verifiable corporate filing, MCA record, or public disclosure. No black-box claims.

Consistent logic

One scoring model applied across all brands — equity percentage, strategic control, manufacturing location, and revenue retention.

Published framework

Classification assumptions, boundary conditions, and scoring weights are published in the Methodology page for peer review.

Auditable

Users can challenge classifications by submitting evidence. Corrections are tracked and acknowledged.