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AlphaLens vs Fiscal.ai (formerly FinChat)

By Jim Norris, founder of NorrisAI AlphaLens · Memphis, TN

Note: FinChat.io rebranded to Fiscal.ai in 2025–2026 and expanded from a conversational research assistant into a fuller investment research terminal — institutional-grade financial data, an AI copilot, screeners, dashboards, and an API/MCP product. If you're comparing against "FinChat," this is the same company.

Quick answer: Fiscal.ai is a data terminal — deep historical financials, broad global coverage, and an AI copilot you query for answers. AlphaLens is a research process — 15 named frameworks that run automatically and hand you a finished, plain-English thesis, not a dashboard to explore yourself.

These solve genuinely different problems, and being straight about that matters more than pretending one replaces the other. Fiscal.ai's job is giving you fast, deep access to the numbers — years of financials, segments, KPIs, transcripts, all queryable. AlphaLens's job is doing the analysis on top of a narrower live dataset and handing you a structured conclusion, not a dataset to dig through.

What's actually different

Fiscal.ai is built around a copilot: you ask it questions about a company's data, and it answers from a deep, structured financial database — institutional-grade coverage across more than 100,000 global companies, with up to 20+ years of history depending on plan. That's a genuine strength if what you need is the raw numbers, fast, across a huge universe of names.

AlphaLens doesn't compete on that axis. It covers US-listed equities, pulls live prices and current SEC filings, and runs them through a fixed set of 15 named institutional frameworks — fair value under three scenarios, an earnings-quality reconciliation, an independent bull and bear case with a moat assessment, and 12 more — producing a finished, plain-English write-up each time. You're not exploring a dashboard. You're reading a conclusion, with the reasoning shown.

AlphaLens	Fiscal.ai
Core product	Data terminal + AI copilot
Output format	Dashboards, chat answers, exportable data
Fixed structured frameworks (15 named)	No — open-ended Q&A over the data
Plain-English finished thesis, no digging required	Copilot summaries, not a structured multi-framework report
Coverage	100,000+ global stocks, ETFs, funds
Historical financial depth	Up to 20+ years, by plan
Price	Free tier, then roughly $24–$64+/mo across Pro/Max, plus Enterprise (tiers and pricing change — check their site)

AlphaLens: $39/mo or $299/yr. All 15 frameworks included at every paid tier — no separate feature gate between "basic" and "full" analysis.

Who each one actually fits: if you want to screen across thousands of global names, pull 15 years of segment data, or build your own models on structured financial data, Fiscal.ai's terminal is the better tool for that job. If you want a specific US stock run through the same 15-framework research process every time — with the reasoning shown, not just the numbers — that's what AlphaLens is built for.

Common questions

Is Fiscal.ai the same as FinChat?

Yes. FinChat.io rebranded to Fiscal.ai and expanded from a conversational stock research assistant into a fuller investment research terminal — institutional-grade financial data, an AI copilot, screeners, dashboards, and an API/MCP product for developers.

What's the difference between AlphaLens and Fiscal.ai?

Fiscal.ai is a data terminal — deep historical financials, global coverage, and an AI copilot you query for answers about the numbers. AlphaLens runs 15 named institutional research frameworks and hands you a finished, structured, plain-English analysis — fair value under stress, an earnings-quality check, an independent bull and bear case — rather than a dashboard you explore yourself.

Does Fiscal.ai have better data coverage than AlphaLens?

For raw data depth and breadth, yes — Fiscal.ai covers over 100,000 global stocks with up to 20+ years of historical financials, which is a genuine strength for screening and cross-company data work. AlphaLens focuses narrower and deeper: US-listed equities, live pricing and current SEC filings, run through a fixed set of structured research frameworks rather than an open-ended data terminal.

Run all 15 frameworks on any US stock

Live prices, current SEC filings, a finished plain-English thesis — not a dashboard to explore.

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