Alphacast

Alphacast is an economic and financial data platform founded in 2021 by Luciano Cohan (CEO, macroeconomist) and Miguel Ángel Saez (CTO, former Microsoft engineer).

Reviewed by 7wData

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Publisher review

Alphacast is an economic and financial data platform founded in 2021 by Luciano Cohan (CEO, macroeconomist) and Miguel Ángel Saez (CTO, former Microsoft engineer). The platform consolidates over 6,000 datasets from 300+ global sources—including central banks, statistical offices, financial exchanges, and proprietary datasets—into a single workspace. Users access data via automated pipelines, interactive dashboards, and integrations with Excel, Google Sheets, Python, R, Stata, and BI tools through REST API.

The platform emphasizes data automation: users can filter, merge, resample, and apply statistical transformations without coding. Alphacast targets global banks, asset managers, insurance firms, consultants, and academic institutions analyzing macroeconomic trends. The company is headquartered in Beaverton, Oregon, with operations in Argentina and Mexico.

The platform's main friction point is pricing opacity and limited visibility in the market—Alphacast maintains a low profile despite handling serious macroeconomic infrastructure for institutional users. Community feedback is sparse, and third-party reviews on major platforms are absent.

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How it works

  1. Multi-source data consolidation

    Access 6,000+ datasets from 300+ sources (central banks, stock exchanges, statistical offices) unified in a single platform.

  2. Automated data pipelines

    Set up no-code/low-code workflows to pull, transform, and schedule data refreshes without manual extraction.

  3. Interactive dashboards

    Build customizable, real-time visualizations that auto-update as source data changes; share with team members.

  4. Python, Excel, and BI integration

    Query data via Python SDK, Excel Add-In, Google Sheets, or REST API; direct connections to Tableau, Power BI, and Stata.

  5. Dataset transformation tools

    Filter, merge datasets, adjust frequency (daily→monthly), perform statistical calculations and financial ratio analysis within the platform.

  6. Public/private workspaces and repositories

    Community tier offers shared public analysis repositories; corporate tier includes private workspaces with branded theming and team access.

  7. On-demand data sourcing

    Corporate tier includes custom dataset creation and premium source licensing upon request.

Strengths and trade-offs

Strengths

  • Unified interface for macroeconomic and financial data; eliminates juggling multiple vendor APIs and spreadsheets.
  • No-code pipeline automation reduces analyst burden for repetitive data pulls and transformations.
  • REST API and Python SDK are well-documented; Excel integration lowers barrier for non-technical users.

Trade-offs

  • Pricing structure opaque; no public comparison of free-tier limits vs. $499/month enterprise tier; no transparent ROI modeling.
  • Minimal community presence and third-party reviews; difficult to assess product maturity or user satisfaction beyond vendor claims.
  • Free tier severely capped (5 datasets, 20 monthly downloads, 3-day retention); pushes adoption toward paid tier with minimal trial window.

Pricing context

Alphacast offers two tiers: Community (free, for academic and nonprofit use) includes API/Python/Excel access but limits downloads to 5 datasets, 20 per month, and 3-day data retention; public workspaces only; up to 3 dashboards. Corporate ($499/month) includes unlimited downloads, private workspaces, branded dashboards, dedicated support, and on-demand premium datasets. No disclosed setup fees, minimum commitments, or per-seat pricing.

Free trial duration not specified. Pricing is subscription-based with no usage metering beyond the free tier download caps.

Alternatives

User reviews

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Sources

Reporting on this tool draws on these publicly available sources.

  1. www.alphacast.io — Company overview, platform features, data sources (6,000+ datasets from 300+ sources), integrations with Excel, Python, API.
  2. www.alphacast.io — Founders (Luciano Cohan, Miguel Ángel Saez), headquarters (Beaverton, Oregon), company mission.
  3. www.alphacast.io — Pricing tiers (Community free tier with limits, Corporate $499/month), features per tier, download limits.
  4. alphacast-api.readthedocs.io — API documentation, core endpoints (Authentication, Datasets, Charts, Entities, Countries, Variables).
  5. github.com — Python SDK documentation and code examples for integrating Alphacast data into Python workflows.
  6. www.orbis.capital — Investor profile and portfolio listing confirming Orbis Capital as a backer.