Structured research data — queryable APIs for scientists, product teams and policymakers.

We collect, clean and standardize open & institutional data (geospatial, climate, agriculture, health, economic) and expose them via REST & GraphQL APIs. SDKs in Python, Go and JavaScript make integration fast.
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Multi-source aggregation
Standardized & labeled
REST & GraphQL
Python • Go • JS SDKs
Example use cases:AgriTech • FinTech • HealthTech • Conservation
CT Data API
/v1/datasets · GraphQL
Beta
# Python example (ct-data-sdk)
from ctdata import Client
client = Client(api_key="YOUR_KEY")
resp = client.datasets.query("rainfall") 
print(resp[:2])
rainfall(index)
Latest ingest

42 datasets · 12 sources · updated daily

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How it works

From raw research to queryable, production-grade datasets

We ingest institutional and open data, clean and standardize it, then expose reliable APIs and SDKs so teams can build reproducible data-driven products.

Data aggregation

Collect from universities, agencies & global repositories

Scrapers, connectors and secure ingest pipelines collect datasets (CSV, JSON, GeoJSON) from institutional sources and open repositories. We schedule regular ingests and maintain provenance metadata.

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Cleaning & standardization

ML pipelines and metadata tagging

Machine learning and rule-based pipelines normalize formats, detect anomalies, enrich metadata (source, year, licensing) and convert data to canonical schemas for consistent consumption.

Storage & indexing

Durable object + indexed data stores

Time-series and geospatial datasets are stored in optimized object stores and indexed for fast queries. Spatial indexes, tiling and precomputed aggregates make geo & analytics queries efficient.

APIs & SDKs

REST & GraphQL with Python/Go/JS SDKs

Expose datasets via REST and GraphQL endpoints, plus SDKs for Python, Go and JavaScript for quick integration. Fine-grained query filters, pagination, and bulk export capabilities are supported.

View docsSDKs
Governance & security

Provenance, licensing, access controls

Metadata includes provenance and licensing; role-based access, audit logs and encryption at rest/in transit protect sensitive datasets. Policies ensure compliant sharing and reproducibility.

Monitoring & updates

Data freshness, lineage & alerts

Monitoring tracks ingestion success, data freshness and pipeline health. Alerts and automatic retries ensure timely updates; versioning records lineage for reproducibility.

Pipeline at a glance

Sources

Universities, agencies, global repos

Cleaning

ML pipelines, schema mapping

Storage

Object store + spatial indexes

APIs & SDKs

REST, GraphQL + SDKs (Python, Go, JS)

Governance

Licensing, provenance, RBAC

Quickstarts
Want to test a dataset?

Request a sample export, try the APIs with a free key, or talk to our data team about custom integrations.

Example use cases

Real-world applications built on CT Data Platform

Our structured datasets and APIs accelerate product development across agriculture, finance, health, tourism and conservation. Each use-case below shows how teams can combine datasets and APIs to deliver impact.

AgriTech — Crop optimization
Agri startups & extension services

Combine rainfall, soil and satellite datasets to build planting advisories, irrigation schedules and yield forecasts.

  • Daily rainfall & soil moisture indexes

  • Long-term seasonal analytics

  • Field-level geospatial joins & alerts

Learn moreTry the API
FinTech — Rural credit scoring
Banks & microfinance institutions

Use population, economic activity and mobility indicators to design alternative credit scores for underbanked populations.

  • Population density & mobility patterns

  • Economic indicators at administrative levels

  • Time-series features for model building

Tourism — Conservation & routing
Tour companies & conservation NGOs

Map biodiversity hotspots, protected areas and travel accessibility to power responsible tourism and conservation planning.

  • Protected area & species occurrence overlays

  • Accessibility / routing datasets

  • Custom geospatial filters & heatmaps

HealthTech — Outbreak insights
Health agencies & NGOs

Ingest epidemiological reports, mobility, and environmental signals to enable early warning and resource prioritization.

  • Case time-series & geo-aggregates

  • Mobility correlation & risk indices

  • Exportable datasets for models

Conservation — Biodiversity analytics
Researchers & policymakers

Analyze species observations, landcover and climate layers to prioritize conservation actions and measure impact.

  • Species occurrence & sampling metadata

  • Landcover change & fragmentation metrics

  • Custom export & provenance tracking

Want a tailored integration?

Our data team helps design dataset joins, custom ingest pipelines, and model-ready exports for production projects.