AlphaSense vs Facet: Which Is Better in 2026?
Last updated November 2026
Short answer
AlphaSense is an AI stock research and scoring tool; Facet is a robo-advisor (hands-off automated investing). Best for professional research across filings, transcripts and broker notes: AlphaSense (quote-based annual plans, no public price; free trial (Oct 2026)). Best for flat-fee financial planning with a dedicated CFP: Facet ($2,600, $5,500 or $8,700/yr flat, no asset minimum (Oct 2026)). Best for a keep, trim or exit read on the stocks you already own, with the trades you approve placed for you: Walnut, an AI investing app (free; Walnut Plus $9.99/mo on the web; no fee on assets).
Both AlphaSense and Facet get grouped under “AI investing tools,” which is why people compare them. Below is what each one does, whether it reads the brokerage you already use, how each is priced, and who each fits, checked in October 2026. Walnut, which publishes this page, is an AI investing app and is noted where it fits.
AlphaSense vs Facet at a glance
| AlphaSense | Facet | |
|---|---|---|
| Category | AI stock research and scoring | Hands-off automated investing (robo-advisors) |
| What the AI does | Searches and summarises a licensed document corpus | None; this is human planning |
| Connects your broker | No (research only) | No (manages assets it custodies, planning covers the rest) |
| Read vs trade | No | Advisor-managed |
| Cost | Quote-based annual plans, no public price; free trial (Oct 2026) | $2,600, $5,500 or $8,700/yr flat, no asset minimum (Oct 2026) |
| Best for | Professional research across filings, transcripts and broker notes | Flat-fee financial planning with a dedicated CFP |
| One limitation | Priced and built for institutions, so it is not a realistic tool for an individual investor managing their own portfolio. | The flat fee is large in absolute terms at small balances, so it only beats a percentage once you have enough assets or enough complexity. |
Prices checked October 2026. A price marked (Oct 2026) was read on the vendor's own pricing page; others are described without a number because we could not verify one.
What is AlphaSense?
An enterprise market-intelligence platform that searches filings, earnings transcripts, expert calls and broker research with AI summarisation.
How it works: AlphaSense indexes a large licensed corpus of company filings, earnings call transcripts, expert interviews, news and broker research, then lets you search it semantically and generate AI summaries with citations back to the source document. Its value lies mostly in the corpus and the citation trail, and it sells mainly to institutions.
In practice, AlphaSense’s AI searches and summarises a licensed document corpus. It is an AI stock research and scoring tool, best suited to professional research across filings, transcripts and broker notes. On connecting an account: no (research only). On execution: no. Cost: quote-based annual plans, no public price; free trial (Oct 2026).
One real limitation: Priced and built for institutions, so it is not a realistic tool for an individual investor managing their own portfolio.
What is Facet?
Flat-fee financial planning with a dedicated CFP professional, priced by complexity.
How it works: You pay an annual membership and are assigned a CFP professional who covers planning across tax, insurance, estate coordination and retirement, with investment management available inside it. Because the fee is flat and set by complexity, it does not rise as your portfolio grows, and that is its main argument against the percentage model.
In practice, Facet’s AI none; this is human planning. It is a robo-advisor (hands-off automated investing), best suited to flat-fee financial planning with a dedicated CFP. On connecting an account: no (manages assets it custodies, planning covers the rest). On execution: advisor-managed. Cost: $2,600, $5,500 or $8,700/yr flat, no asset minimum (Oct 2026).
One real limitation: The flat fee is large in absolute terms at small balances, so it only beats a percentage once you have enough assets or enough complexity.
AlphaSense vs Facet: how they actually differ
Category comes first. AlphaSense focuses on professional research across filings, transcripts and broker notes (searches and summarises a licensed document corpus), and Facet on flat-fee financial planning with a dedicated CFP (none; this is human planning). On broker connection they differ too: AlphaSense is “No (research only)” versus Facet at “No (manages assets it custodies, planning covers the rest)”. That shapes everything downstream: how personal the answers are, where trades settle, and how much control you keep over individual positions.
AlphaSense vs Facet: strengths and trade-offs
Every tool gives something up for what it does well. Below is the give-and-take on each, so you can weigh the specific strengths against the limitations that come with them, beyond the headline category.
AlphaSense
Where it is strong
- A licensed corpus, including broker research and expert calls, that a general AI assistant cannot reach
- Summaries cite the underlying document, so claims are checkable
- Built for analysts who cover many companies at once
What to watch out for
- Enterprise pricing puts it out of reach for individual investors
- It answers research questions about companies, not questions about what you personally hold
Facet
Where it is strong
- A flat fee that does not grow with your balance, which removes the incentive against advice that shrinks it
- A dedicated CFP professional of your own; there is no call centre or questionnaire
- Planning breadth beyond investing, including tax and insurance coordination
What to watch out for
- In absolute dollars the membership is significant, so at smaller balances a percentage fee is cheaper
- Pricing tiers by complexity, so confirm which tier your situation lands in before comparing
The key divider: does it read your real holdings?
For AI investing tools, the distinction that matters most is whether the tool works from your actual, connected positions or reasons from something else: a separate account it manages for you, or the tickers and numbers you feed it. It decides how personal the answers can be, and where your money physically lives.
- AlphaSense: does not see your holdings. AlphaSense works from market data and the tickers you research, not your live positions. You read its output, then act in whichever broker you keep your money at.
- Facet: manages a separate account it holds. Facet does not read the brokerage you already use. It opens and holds a new account, then invests the money you move into it, so its view is limited to what sits inside Facet.
This is where they diverge most. One works from your real, connected account while the other does not, so if you want an assistant grounded in the exact positions you already hold, that gap is the thing to weigh first. This holdings-aware angle is the one Walnut is built around: it connects the brokerage you already use and reasons from your live positions, read-only by default, with any trades left for you to approve.
AlphaSense vs Facet: which should you choose?
Each one wins a different job, so the answer depends on which job you need done.
- Choose AlphaSense if you want professional research across filings, transcripts and broker notes. Its AI searches and summarises a licensed document corpus, and it costs quote-based annual plans, no public price; free trial (Oct 2026). It is built for a professional analyst or corporate strategy team, not an individual managing a personal portfolio. Keep in mind: priced and built for institutions, so it is not a realistic tool for an individual investor managing their own portfolio.
- Choose Facet if you want flat-fee financial planning with a dedicated CFP. Its AI none; this is human planning, and it costs $2,600, $5,500 or $8,700/yr flat, no asset minimum (Oct 2026). It is built for someone with a few hundred thousand or more, or real complexity, who wants planning more than portfolio management and objects to paying a percentage. Keep in mind: the flat fee is large in absolute terms at small balances, so it only beats a percentage once you have enough assets or enough complexity.
- Choose Walnut if you want a keep, trim or exit read on the stocks you already own, and placing the trades you approve. It is an AI investing app that connects the broker you already use, and it costs free; Walnut Plus $9.99/mo on the web; no fee on assets.
Because they sit in different categories, this is not strictly either-or: some investors use one for professional research across filings, transcripts and broker notes and the other for flat-fee financial planning with a dedicated CFP, and watch for overlapping costs.
AlphaSense vs Facet: pricing and cost model
Cost is easy to misread when two tools charge in different shapes, so compare the model, not just the number. AlphaSense: quote-based annual plans, no public price; free trial (Oct 2026). Facet: $2,600, $5,500 or $8,700/yr flat, no asset minimum (Oct 2026). A percentage-of-assets fee scales with your balance, a flat subscription does not, and a “free” tier usually earns elsewhere (on cash, order flow, or premium upgrades), so the cheapest headline is not always the cheapest outcome for your situation.
Prices checked October 2026. Pricing and tiers change, so confirm the current numbers on each provider’s own site before you decide.
Where Walnut fits
Walnut is an AI investing app, and it is the pick for a keep, trim or exit read on the stocks you already own, and placing the trades you approve (free; Walnut Plus $9.99/mo on the web; no fee on assets). It connects the brokerage you already use, read-only by default, gives each holding a keep, trim or exit read against the S&P 500, flags any position above a quarter of the portfolio, and places the trades you approve. You use it through its own assistant, or inside Claude or ChatGPT. See Walnut vs AlphaSense and Walnut vs Facet.
Try Walnut on top of your broker
Free. Connect the broker you already use, and ask anything about what you own.
FAQ
Is AlphaSense or Facet better?
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AlphaSense is better for professional research across filings, transcripts and broker notes (quote-based annual plans, no public price; free trial (Oct 2026)). Facet is better for flat-fee financial planning with a dedicated CFP ($2,600, $5,500 or $8,700/yr flat, no asset minimum (Oct 2026)). AlphaSense is an AI stock research and scoring tool and Facet is a robo-advisor (hands-off automated investing), so the right pick is the one whose job you want done.
What is the difference between AlphaSense and Facet?
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AlphaSense is an AI stock research and scoring tool: it searches and summarises a licensed document corpus. Facet is a robo-advisor (hands-off automated investing): it none; this is human planning. AlphaSense suits professional research across filings, transcripts and broker notes; Facet suits flat-fee financial planning with a dedicated CFP.
Is AlphaSense or Facet better for beginners?
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Facet is the more beginner-friendly of the two (flat-fee financial planning with a dedicated CFP). The other is better once you know what you want from it. Neither replaces understanding what you own.
Does AlphaSense connect to my brokerage?
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AlphaSense: no (research only) (does not see your holdings). Facet: no (manages assets it custodies, planning covers the rest) (manages a separate account it holds). If keeping your current broker matters, that distinction is often the deciding factor.
Does AlphaSense see my real holdings?
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AlphaSense works from market data and the tickers you research, not your live positions. You read its output, then act in whichever broker you keep your money at. By contrast, Facet manages a separate account it holds: Facet does not read the brokerage you already use. It opens and holds a new account, then invests the money you move into it, so its view is limited to what sits inside Facet.
AlphaSense vs Facet: which is cheaper?
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AlphaSense: quote-based annual plans, no public price; free trial (Oct 2026). Facet: $2,600, $5,500 or $8,700/yr flat, no asset minimum (Oct 2026). A percentage of assets grows with your balance and a flat subscription does not, so compare in dollars at your balance. Prices marked (Oct 2026) were checked on the vendor's own site in October 2026.
Can I use AlphaSense and Facet together?
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Often yes, because they do different things: one for professional research across filings, transcripts and broker notes and the other for flat-fee financial planning with a dedicated CFP. Watch for overlapping subscription costs, and remember that trades settle in whatever account actually holds your money.
Who is AlphaSense best for, and who is Facet best for?
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AlphaSense best fits a professional analyst or corporate strategy team, not an individual managing a personal portfolio. Facet best fits someone with a few hundred thousand or more, or real complexity, who wants planning more than portfolio management and objects to paying a percentage. If you see yourself in one description more than the other, that is usually the clearer signal than any single feature or price.
What are the main trade-offs between AlphaSense and Facet?
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With AlphaSense, watch for this: enterprise pricing puts it out of reach for individual investors. With Facet: in absolute dollars the membership is significant, so at smaller balances a percentage fee is cheaper. Pick the trade-off you can live with given the job you want done.
Where does Walnut fit between AlphaSense and Facet?
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Walnut is an AI investing app, and it is the pick for a keep, trim or exit read on the stocks you already own, and placing the trades you approve (free; Walnut Plus $9.99/mo on the web; no fee on assets). It connects the brokerage you already use, read-only by default, gives each holding a keep, trim or exit read against the S&P 500, builds thematic baskets with target weights, and places the trades you approve. You use it through its own assistant, or inside Claude or ChatGPT.
Related comparisons
Walnut is informational, not investment advice. Competitor features and pricing are point-in-time and change; verify the current details on each provider's site before deciding. Nothing here is a recommendation to use any particular product or security.