The short answer: AlphaSense publishes no price. The public figures are third-party estimates. Vendr puts the median contract at $17,500 a year across 38 deals (February 2026); SpendHound averages $12,210 for SMB buyers and $123,760 for enterprise buyers (July 14, 2026); Sacra estimates $10,000 to $20,000 per seat. Billing is annual only, and seats, content scope, the internal-content tier and expert-call add-ons set the quote. It earns its price when licensed search across broker research, filings and expert transcripts is the job. When the job is finishing deep, multi-source work that includes the firm's own data, AllMind AI is the better buy.

Who this is for: heads of research, market-data and procurement teams budgeting for an AlphaSense purchase or renewal, and analysts asked to justify a seat.

Published August 24, 2026. Last reviewed August 24, 2026. Written by the AllMind AI research team.

Reviewed by Anwaar Malik, founder of AllMind AI.

Disclosure: AllMind AI builds one of the platforms discussed here. AlphaSense publishes no price, so every dollar figure below is a labeled third-party estimate; we name the cases where AlphaSense is the right buy, and no vendor paid to be listed.

Key takeaways

• AlphaSense has no list price. Its pricing page names two packages, Market Intelligence and Enterprise Intelligence, and sends every buyer to sales (checked August 24, 2026).
• The three cited estimates measure different things. Vendr's $17,500 median is a whole contract (38 deals, February 2026), SpendHound's $12,210 and $123,760 are averages by buyer size (July 14, 2026), and Sacra's $10,000 to $20,000 is one seat.
• There is no monthly plan. Billing is annual, so a monthly figure is division: the Vendr median works out to about $1,458 a month.
• Discounts are structural. Vendr reports 10 to 20 percent off for two- to three-year terms and 5 to 10 percent for annual prepayment (February 2026), from a vendor with company-stated ARR above $600 million (June 3, 2026).
• A 12-analyst fund lands near $120,000 to $135,000 a year in the realistic case. The expert-call add-on line, not the seat price, is what pushes the build-up below toward $400,000.

AlphaSense pricing 2026: what is publicly reported

AlphaSense pricing in 2026 is quote-only, and the public numbers come from three third-party sources that disagree because they measure different populations. The company's own page describes the packaging and stops there.

Read together, the three estimates describe one price structure from three angles. Vendr's median divided by Sacra's band is one or two seats; SpendHound's enterprise average divided the same way is six to twelve. The company's ARR over its customer count is roughly $85,000, a blend no single buyer receives.

How much does AlphaSense cost per year?

Roughly $9,000 to $51,000 a year for a small team, on Vendr's 38 observed contracts (February 2026), and about $124,000 a year on average for a buyer with more than 1,000 employees, on SpendHound's 77 enterprise customers (July 14, 2026). Per seat, Sacra's $10,000 to $20,000 estimate is the only sourced band, and Vendr reports per-seat prices stepping down at 10, 25, 50 and 100 seats. Three team shapes cover the range:

• One or two seats (a strategy lead, an IR team, a solo analyst): near Vendr's $17,500 median, with SpendHound's SMB average of $12,210 below it.
• Five to twelve seats (a sector team, a mid-sized fund): $50,000 to $124,000 a year, where Sacra's enterprise deal-size estimate and SpendHound's enterprise average overlap.
• Twenty-five seats and above (a bank research floor, a firm-wide rollout): six figures, with Sacra placing the largest customers above $1 million a year.

How much does AlphaSense cost per month?

There is no monthly price. AlphaSense sells annual subscriptions for all team sizes, and SpendHound's buyer FAQ adds that no monthly billing is available (July 14, 2026). Divided by twelve, Vendr's range is about $771 to $4,250 a month and its median $1,458; SpendHound's SMB average is roughly $1,018 and its enterprise average about $10,313. Any page quoting a monthly AlphaSense price has done that division. Buyers who need monthly billing are in a different market: Koyfin publishes plans from $39 to $299 a month (August 24, 2026), with no licensed research inside them.

What drives an AlphaSense quote?

Six line items set the number: seats and user types, content classes, Market Intelligence versus Enterprise Intelligence, separately priced add-ons, term, and the renewal escalator. The packaging and add-ons are company-stated (August 24, 2026); the discount and escalator figures are Vendr's (February 2026) and SpendHound's (July 14, 2026).

1. Seats and user types. Vendr reports per-seat pricing stepping down at 10, 25, 50 and 100 or more seats, so the twelfth seat costs less than the first.
2. Content classes. Market Intelligence covers company documents, broker and independent research, the expert transcript library, news and regulatory filings; Vendr puts public filings and transcripts at the standard end and licensed broker research at the premium end.
3. Package. Enterprise Intelligence adds AI search over internal content, extra cloud-hosting options for confidential data, API uploads and third-party connections, custom training and IT support; SpendHound lists dropping to Market Intelligence as a lever when external content is enough.
4. Add-ons. Expert calls and Canalyst financial models are priced separately, and Vendr reports that expert-call services and premium content can reach 20 to 40 percent of contract value for heavy users.
5. Term. Annual only; Vendr sees one- to three-year terms, 10 to 20 percent off for multi-year commitments and 5 to 10 percent for annual prepayment.
6. Renewal. Vendr reports escalators of 3 to 5 percent a year and auto-renewal clauses with a 60- to 90-day notice window.

A worked quote for a 12-analyst long/short fund

Take a fundamental long/short fund with 12 analysts buying Market Intelligence with broker research and the expert library, no internal-content tier, and heavy expert-call use. The question put to each source was the same: what does this desk pay per year? Using only the sourced ranges above, the build-up is:

Two checks say the low-case quote is the realistic one. SpendHound's enterprise average of $123,760 (July 14, 2026) falls inside the $120,000 to $135,000 band, and Sacra's enterprise deal-size estimate of $50,000 to $100,000 and up sits just beneath it, which is what a volume step-down past the tenth seat produces. The seat price does not move the total much; the add-on line does. At Vendr's 20 to 40 percent share, calls add a quarter to two thirds on top of the seats, and the $400,000 high case is a desk paying top-of-band seats while using AlphaSense as its expert network.

Can you negotiate AlphaSense pricing?

Yes. SpendHound's buyer FAQ states that AlphaSense pricing is negotiable, particularly at the enterprise tier and for high-volume usage (July 14, 2026). Vendr's deal data reports 10 to 20 percent off for two- to three-year commitments and 5 to 10 percent for annual prepayment (February 2026). Each lever that works maps to a line item above.

• Seat thresholds. Buy to the next threshold if the desk will grow into it within the term, and write expansion pricing into the contract at signing.
• Package. Take Market Intelligence unless internal content will be indexed this year; add Enterprise Intelligence at a later renewal.
• Add-ons at signing. SpendHound's FAQ recommends bundling separately priced add-ons, expert calls above all, into the base deal, since that line carries the overage risk.
• Term and prepayment. Trade a longer term or prepayment for a lower rate only if the escalator is capped in writing.
• Timing and alternatives. SpendHound lists buying near quarter or year end and bringing competitor pricing; Vendr reports competitive pressure producing quotes 20 to 30 percent below the opening number.

The context for any renewal ask is a vendor negotiating from strength. AlphaSense's June 3, 2026 press release announced a $350 million round at a $7.5 billion valuation, nearly double the prior $4 billion, with annual recurring revenue above $600 million in Q1 2026, up from $500 million in October 2025. A company growing at that pace has little reason to discount a renewal that will close anyway, so concessions follow a credible alternative, added seats or a longer term. SpendHound's sample shows the direction: enterprise contracts averaged 20.12 percent more year over year and SMB contracts 18.81 percent less (July 14, 2026).

The quote-readiness checklist (copy it before you call any research vendor)

Eight questions, answered in writing, turn a vendor call from a demo into a quote. The example values are the 12-analyst fund above.

QUOTE-READINESS CHECKLIST (complete before asking any research vendor for a price)

1. Seats and user types   Daily searchers, read-only users, PM and CIO seats, API users.
                          Example: 12 analysts, 2 PMs read-only, 0 API users.
2. Content classes        Filings and transcripts only, or broker research and the expert
                          library too? Name the brokers and sectors the desk reads today.
3. Internal content       Must the vendor index your own documents (SharePoint, Box, Drive,
                          a warehouse)? If yes: which systems, how many GB, who owns access.
4. Add-on budget          Expert calls per year and today's price per call.
                          Example: 40 calls at $1,000 to $1,400 each (Inex One, Feb 2026).
5. Overlap inventory      Every subscription covering the same content class, with renewal
                          date and annual cost: expert network, transcript feed, news terminal.
6. Term and prepayment    One year or three? Can finance prepay? Position on a 3 to 5
                          percent escalator in years two and three.
7. Renewal mechanics      Auto-renewal clause, notice window (60 to 90 days is typical),
                          the calendar date the window opens.
8. Success measure        The one number the seat must move (names covered per analyst,
                          calls avoided, hours per initiation) and who signs off on it.

Bring the same sheet to every vendor on the shortlist, including us, and the quotes become comparable. AllMind AI is quote-based too, and the AllMind AI pricing page is where that conversation starts; category-wide price signals are in the AI research tools pricing guide for 2026.

Is AlphaSense worth it?

Yes for four kinds of team, and the arithmetic is checkable in each case. AlphaSense owns its expert library (more than 280,000 transcripts, company-stated, built on the Tegus acquisition that closed July 8, 2024), licenses broker research from a long contributor roster, and puts both behind one search box with alerts. Where reading across that content is the work, the seat pays for itself.

• A corporate strategy or competitive-intelligence team of three to ten people. The weekly output is a monitoring digest built from alerts across broker notes, transcripts, news and filings, and the search surface is the job.
• A fund that ran Tegus and a search subscription as two contracts. Tegus alone was publicly reported at roughly $20,000 to $25,000 per user per year before the 2024 acquisition, so a combined seat inside Sacra's $10,000 to $20,000 band can cost less than the old pair.
• A sector specialist who reads transcripts in place of booking calls. At Inex One's typical $1,000 to $1,400 an hour (February 2026), 15 avoided calls a year per analyst is $15,000 to $21,000, about one Sacra seat. A transcript answers someone else's questions, so the break-even is closer to one call a month.
• An IR or corporate finance team that needs entitled broker research on its own name and peers. Few vendors license that class, buying notes one broker at a time costs more, and AlphaSense holds the class in a single index.

It is not worth it in three cases:

• A desk whose need stops at filings, transcripts and fundamentals pays Vendr's floor of $9,250 for content a self-serve tool delivers for under $1,000 a year.
• A desk whose deliverable is a finished memo, model or monitoring run across external and internal data gets passages and summaries back and completes the work elsewhere, so the seat buys the search and leaves the work. The case for an AI research system is in AllMind AI vs AlphaSense.
• A trading-led desk that needs live market data needs a terminal, and AlphaSense is not one.

Which alternatives cost less, and which cost about the same?

Three groups. Platforms that take on the work after the search (AllMind AI, Hebbia) are quote-based and land in the same order of magnitude as an AlphaSense enterprise contract. Self-serve tools (Koyfin, Fiscal.ai) replace filings, fundamentals and transcript reading for under $1,000 a seat a year and carry no licensed research. Terminals (Bloomberg, FactSet) cost as much or more and solve a different problem.

Three complaints send teams to this comparison at renewal:

• The bill scales with seats and add-ons the desk does not use.
• Search is where the product stops; the memo, model or monitoring run is finished elsewhere.
• Internal content costs an upgrade and is indexed beside the licensed corpus without being joined to it.

The longer shortlists are in AlphaSense alternatives and the best AlphaSense alternatives for 2026; the segment map is in AlphaSense competitors in 2026.

AllMind AI

AllMind AI, launched publicly on July 13, 2025, is an AI research system for institutional investors, priced by quote, and the fair comparison with an AlphaSense contract is what one subscription replaces for the 12-analyst fund above.

Where it wins: the work that begins after the search, which is where that fund's cost sits once the seats are paid for. An AlphaSense seat returns cited passages; an AllMind AI agent takes the fund's initiation, IC memo or quarterly monitoring run, works it for minutes or hours across every source in scope, and returns the finished document with each number linked to its passage and the calculation shown. Under the agent sit S&P, FactSet, LSEG and MSCI data, broker research and Expert Insights, global investor-relations material, live earnings and sector datasets.

The fund's own content is the second half of the product, the part AlphaSense sells as the Enterprise Intelligence upgrade. Snowflake or Databricks tables and S3 buckets are queried where they already live through a permission-scoped cloud role, and APIs, dashboards and document stores connect the same way, so the fund's own model sits beside the filing it was built from. Every data point, internal and external, is stored as an entity with relationships, so the agent moves from a covered company to its suppliers, their estimates and the relevant filing passage without a separate query for each. The AllMind AI vs AlphaSense comparison walks the dimensions.

Where it falls short: the internal half is an integration project. Expert Insights and market data come with the subscription, and aftermarket broker research arrives on a delay, while live embargoed notes run on the fund's own entitlement. The fund's own models, warehouse tables and dashboards join the map only after its data owners connect them, so the quote follows that connection work rather than a checkout page.

Hebbia

Hebbia is a document-analysis platform whose Matrix grids run one question across thousands of loaded documents at once.

Where it wins: bulk interrogation of a fixed document set, the data-room and credit-agreement work where private-equity, credit and banking teams spend their weeks. Its Max agent shipped July 30, 2026 and a Snowflake integration on July 8, 2026, and the company states that over 40 percent of the largest asset managers by AUM use it (October 2025). Metronome's third-party estimate puts Professional seats near $10,000 a year and Lite at $3,000 to $3,500 (January 2026), inside Sacra's AlphaSense band.

Where it falls short: almost no market data of its own and no licensed broker research or expert library, so the universe is whatever the team loads. A desk leaving AlphaSense for Hebbia keeps the seat cost and loses the content.

Fiscal.ai

Fiscal.ai, formerly FinChat, is a self-serve fundamentals terminal with a copilot covering 100,000+ companies, and its own documentation put segment-level KPI coverage at the largest 2,300 of them in August 2026.

Where it wins: the filings-and-fundamentals slice of an AlphaSense subscription at self-serve prices, for an analyst who wants segment KPIs, estimates and transcripts in one screen without a procurement cycle. Its API free tier is documented at 100 companies and 250 calls a day, enough to test coverage on a watchlist before paying. The company rebranded from FinChat alongside a $10 million Series A led by Portage in June 2025.

Where it falls short: no entitled broker research, no expert content and no route for a firm's own models, so it replaces the reading and none of the licensed content. Its pricing page blocked automated checks on August 24, 2026, so no plan figure appears here.

Koyfin

Koyfin is a low-cost data terminal for advisors and individual investors: charting, fundamentals, screening and watchlists.

Where it wins: it is the only tool on this page with a public rate card. Plus is $39 a month or $468 a year and Premium $79 a month or $948 a year (checked August 24, 2026), under a tenth of Vendr's median AlphaSense contract, and Koyfin publishes a machine-readable product and pricing fact page at koyfin.com/pricing-llm-info (dated July 27, 2026). For a desk whose need is screens and fundamentals on a dozen names, a year of Premium costs about one month of a Sacra-band AlphaSense seat.

Where it falls short: limited AI, no document search and no broker research or expert content, so it replaces none of the licensed classes an AlphaSense buyer pays for.

Bloomberg Terminal

Bloomberg Terminal is the full-service market data and messaging terminal, publicly reported at roughly $30,000 to $32,000 per seat per year.

Where it wins: live market data and the messaging network, neither of which AlphaSense sells. Its AskB assistant has been in beta since February 2026 and on mobile since August 18, 2026. A client letter reported by NeuGroup in August 2022 set $30,000 a year for a single terminal from January 1, 2023, and contracts typically run a two-year minimum, so a desk adding a terminal commits roughly $60,000 per seat before any research subscription.

Where it falls short: a seat costs about as much as the top of Sacra's AlphaSense band and does not replace document search over licensed research or expert transcripts, so it is a separate budget line, and the assistant works only inside the terminal.

FactSet

FactSet is a data workstation for fundamentals, estimates and analytics, priced by module on a private quote.

Where it wins: the numbers, and the disclosure behind them. FactSet reported $2.48 billion of annual subscription value across 247,766 users at May 31, 2026, about $10,000 per user including feeds and services, and Vendr's median FactSet contract is $25,160 (February 2026). Its Mercury assistant launched December 14, 2023, and a December 2025 study of 52,428 US equity research reports found that AI-assisted reports after that launch cited 40 percent more distinct sources.

Where it falls short: its AI stays inside the workstation screens and it carries no expert library, so a research team leaving AlphaSense for FactSet trades document search over licensed research for data screens; the two belong in different budget lines, with FactSet as the data layer.

When should you stay with AlphaSense?

Stay when the cost of leaving is integration work, and cut scope instead of switching. Four situations make that true:

• A firm that has indexed SharePoint, Box or Google Drive under Enterprise Intelligence and trained IT on it. In a July 16, 2026 survey of 35 large asset managers by Substantive Research and Aiera, 37 percent said onboarding an AI platform takes 4 to 6 months, and a replacement asks for those months again.
• A competitive-intelligence team whose deliverable is the alert digest itself.
• A fund whose primary-research process consumes dozens of transcripts per name and books its calls through the platform; the add-on line is the product.
• A firm that consolidated Tegus and a search tool into one contract after the July 2024 close and would re-fragment its spend by leaving.

The middle path is to stay and cut scope, starting with the two largest levers: drop Enterprise Intelligence if only external content is used, and cut seats to the people who search daily. Keeping AlphaSense for search and adding a research system for the work after it is the third option, and the split is described in the expert-call and transcript research guide.

Frequently Asked Questions

Does AlphaSense publish its pricing?

No. As of August 24, 2026 its pricing page names two packages, Market Intelligence and Enterprise Intelligence, describes annual subscriptions from enterprise packages to per-seat options, and routes buyers to sales. Every dollar figure in circulation is a marketplace or analyst estimate, and the three most cited measure different things: Vendr a median contract, SpendHound an average by buyer size, Sacra a per-seat band.

How much does Tegus cost now that AlphaSense owns it?

No Tegus list price has been published since AlphaSense closed the acquisition on July 8, 2024. Before the deal Tegus was publicly reported at roughly $20,000 to $25,000 per user per year. Today the transcript library sits inside the AlphaSense subscription and live expert calls are a separately priced add-on on the AlphaSense pricing page. A fund that once paid for Tegus and a search tool separately should price the combined subscription against the sum of the two.

What does AllMind AI cost compared with AlphaSense?

Both are quote-based, so any side-by-side number would be invented. AllMind AI sells subscription options from enterprise-wide deployments to per-seat pricing through a sales conversation, and it is not self-serve, so a buyer who needs a published rate card and monthly billing should take a self-serve tool. The comparison worth running is at stack level: an AlphaSense renewal plus the expert network, data feeds and internal tools around it, against one system that holds licensed data, entitled research and the firm's own systems together.

How much does an AlphaSense renewal go up each year?

Vendr's buyer data, last updated February 2026, reports renewal escalators of 3 to 5 percent a year and auto-renewal clauses with a 60- to 90-day notice window. SpendHound's sample tells a split story as of July 14, 2026: the average enterprise contract rose 20.12 percent year over year and the average SMB contract fell 18.81 percent. That split reflects seats and add-ons being added on the enterprise side more than a change in rate, so put the notice date in the calendar the day the contract is signed.

AllMind AI is the AI-native research platform for institutional equity teams. If you want proof on your own work, send us the workflow you want tested.