Valuein vs AlphaSense
AlphaSense reads the documents — Valuein delivers the auditable numbers
The key difference
AlphaSense is unmatched for reading and searching qualitative content, but a quant can't backtest a factor on a document corpus. Valuein delivers the structured, point-in-time, survivorship-free numbers — each with a fact_id back to its filing — self-serve from $49/mo versus AlphaSense's enterprise seat pricing.
Outcomes that matter
What you actually get done — not just a feature checklist.
| The job | Valuein | AlphaSense |
|---|---|---|
| Search transcripts & expert content | Not our focus | Unmatched — ~500M documents |
| Backtest a factor on PIT numbers | Yes — survivorship-free to 1993 | Document search, not a numeric series |
| Audit any number an agent returns | fact_id → exact SEC filing | Cites documents, not per-fact figures |
| Pricing / access | Self-serve $0–$499/mo | ~$10k–$40k+/seat/yr (reported), no self-serve |
Feature Comparison
| Feature | Valuein | AlphaSense |
|---|---|---|
| Numeric Fundamentals | 111M+ point-in-time facts | Document search, not a numeric dataset |
| Backtesting | Survivorship-free PIT to 1993 | Not a backtesting data source |
| Per-fact Audit Trail | fact_id → SEC filing | Document-level citations |
| Access | Self-serve, from $0/$49/mo | Enterprise seats, sales-led |
| Agent Access | MCP for numeric tools + safety | MCP-first generative document search |
AlphaSense details and pricing are based on publicly available information as of June 2026 and may have changed — verify on their site. Where a competitor's figure is vendor-reported or estimated, we say so.
Where AlphaSense is stronger
- AlphaSense has unmatched qualitative breadth — transcripts, expert calls (Tegus), broker research, news
- AlphaSense's MCP-first generative search and analyst/PM brand are mature
- AlphaSense is increasingly blending structured financials and KPIs into its search
Best for
Analysts and PMs who use a document-search platform like AlphaSense for qualitative work and need a self-serve, auditable, point-in-time numeric fundamentals source to complement it.
Frequently asked questions
Is Valuein an alternative to AlphaSense?
They solve different problems. AlphaSense is for searching qualitative documents — transcripts, expert calls, research. Valuein is for structured, point-in-time numeric fundamentals you can backtest and audit. Many research workflows use both: AlphaSense for the narrative, Valuein for the numbers.
Can Valuein's data feed an AI research workflow like AlphaSense's?
Yes — Valuein's MCP exposes point-in-time fundamentals as agent tools, each figure carrying a fact_id back to its filing, with temperature-0 runs and human-in-the-loop guardrails so the numeric layer of an AI report is auditable.
Start comparing today
No credit card. Free S&P500 data immediately, then Pro at $49/mo or Institutional at $499/mo. No sales call — just data.