Fincept vs The Industry
How Fincept Terminal Enterprise measures against Bloomberg, Refinitiv and FactSet — on capability and on cost per seat. Including the rows where they still win.
The Full Comparison
Cost first, then the rows where all four are genuinely comparable, then the capabilities that only exist on one of them.
Competitor pricing reflects publicly reported list rates for a single professional seat and varies by contract, region and bundle. Feature rows describe the standard seat of each product; capabilities marked “Extra” are available from the incumbents under a separate licence.
A 6-Person Research Team
Priced at our most expensive tier ($299 a seat), against a Bloomberg seat at list. The gap is not a rounding error.
Most desks do not rip and replace. Keep a legacy seat where the archive or the messaging network genuinely matters, and move the rest of the research team across — monthly billing with no seat minimum means you can test that with one analyst.
Why Not Run the Open-Source Edition
It is a real terminal and it stays on GitHub. But the free build shifts several costs onto you rather than removing them — and one of them is a licence obligation.
It is not actually free
You supply your own API keys for the commercial data providers and your own LLM key for every AI feature. That inference is billed to you directly, per token, with no ceiling — a busy research month is real money to OpenAI or Anthropic, on top of whatever the data costs.
Credits are included in the seat — 400 to 5,000 a month — and the proprietary data is licensed by us. One predictable line item instead of three variable ones, and the terminal tells you what each action costs before you run it.
Development happens here
The public build now ships roughly one update a month. It is maintained, not abandoned — but it is not where the product is going.
The private edition is where the work happens, and fixes and features arrive as they land rather than waiting for the next public cut.
Your issues are triaged first
Community reports go into the public queue and are addressed on a best-effort basis. There is no response commitment, and a fix reaches you on the next monthly build.
Priority support with an SLA. Your report is triaged ahead of the public queue, and the fix ships to you when it is ready — not on the public release cadence.
The data underneath is different
Public sources — good enough to see a market, rate-limited and best-effort, and capped by whatever the upstream provider gives a free key.
Private and proprietary datasets with deeper history and faster refresh, licensed for Enterprise accounts. Price history runs to five years or the full archive rather than one.
The ceilings are where the work stops
Practical limits are set by the free tiers of whatever you connect: a handful of symbols, shallow history, and quotas you do not control.
Up to unlimited portfolios, watchlists and strategies, 500 streaming symbols, 53 agents, 6 team modes and unlimited MCP servers. Published limits, enforced by us, that you can plan a workflow around.
The licence is a compliance question
AGPL-3.0 is strong copyleft. Modify it and run it as a service others reach, and you are obliged to publish your changes under the same licence — which for a fund means your internal tooling.
A clean commercial subscription with no copyleft obligations to reason about. For most legal teams this is the row that ends the discussion.
The honest test: total your data-provider keys, a month of your own LLM spend, and the hours somebody spends keeping it running. Against $99 a month, the free edition usually stops being the cheaper option. See what it does include →
Where the Difference Actually Is
Research That Does the Work
The legacy terminals give you a screen and a keyboard shortcut. Fincept plans the research, delegates to specialist agents, reads your own filings alongside market data and returns a sourced note. That capability does not exist on a Bloomberg seat at any price.
Quant Tooling In the Seat
Backtesting, the AI Quant Lab, volatility surfaces and strategy comparison ship inside the terminal. On the incumbents this is a separate product line with a separate contract.
Priced Per Month, Not Per Year
A Bloomberg seat is an annual commitment of about $27,000. A Fincept seat is $99 a month with no minimum — you can put one analyst on it and scale when it earns the next seat.
Auditable by Design
An AGPL-3.0 edition of the terminal is public on GitHub, so a compliance team can read how the core data workflow behaves before the private build ever reaches your network.
One Surface, Not Six Vendors
41 modules cover markets, research, derivatives, alternatives, M&A, macro, geopolitics and maritime in a single application — work most desks assemble from several subscriptions.
Where We Do Not Win
Bloomberg has the deepest historical archive in the industry and its messaging network is a genuine moat — if your workflow depends on either, it is the right tool. We are the better answer for research depth, automation and cost per seat.
See It Against Your Own Workflow
Book a walkthrough on the modules your desk actually uses, or start with a single seat from $99 a month.