The short answer
Datarails doesn't publish a price list. The best independent number is Vendr's buyer data: a median of $33,300 per year, with a low–high range of $16,231 to $62,037 [1]. Datarails' own September 2026 comparison guide gives a higher band — about $25K per year for smaller teams, $40K–$80K for mid-market and $100K+ for enterprise [8]; its older cost guide put mid-market at $35K–$80K [2] — possibly reflecting larger, multi-module deals. Treat the Vendr median as where negotiations start for a typical mid-market team, not where they end.
Plans
Datarails sells tiered packages (Professional, Premium and Expert per its cost guide [2]), each priced by quote. Tier names and inclusions change; ask for the module list in writing rather than relying on tier names.
What drives your quote
- Users and entities. More contributors and more legal entities to consolidate push you up the range.
- Modules. Planning, consolidation, reporting, cash and AI products are often scoped separately.
- Integrations. The number of source systems (ERP, HRIS, CRM) that need connectors and mapping.
- Implementation. Onboarding services can be a line item separate from subscription. Ask for it in year-one total cost.
The AI line item: read the fine print
Datarails ships a generative assistant (Genius) [7] and announced Strategy, Planning and Reporting AI agents alongside a $70M raise in January 2026 [6]. Its FinanceOS MCP connector lets Claude and ChatGPT query your Datarails data, and it's listed in Claude's connector directory [5].
What the connector does today, per Datarails' docs [3]: every published tool is read-only (no write-back, no formula or model edits); Claude and ChatGPT are enabled by default; Microsoft Copilot is listed as "coming soon". See the connector tracker for the live status.
Practitioner take
Hands-on notes from our reviewer on Datarails for budgeting, variance commentary and capex planning will be added here.
Negotiation checklist
- Anchor on the Vendr median ($33,300) and range, not the vendor's mid-market band.
- Get year-one total cost: subscription + implementation + any AI connector subscription.
- Ask whether AI features consume credits or usage, and what happens when you run out.
- Lock renewal caps; ask for multi-year pricing only if you'd commit anyway.
Comparing options? See Datarails vs Vena and the full FP&A pricing comparison.
FAQ
How much does Datarails cost per year?
Datarails does not publish prices. Vendr reports a median of $33,300 per year across its buyer data, with a low–high range of $16,231 to $62,037. Datarails' 2026 comparison guide states typical annual ranges of about $25K for smaller finance teams, $40K–$80K for mid-market and $100K+ for enterprise (an older Datarails cost guide said $35K–$80K for mid-market).
How much is Datarails per month?
Datarails sells annual contracts, not monthly plans. Dividing the Vendr median of $33,300 by 12 gives roughly $2,775 per month as a reference point, not a quoted price.
Is the Datarails AI connector for Claude and ChatGPT included?
It is unclear. Datarails' technical documentation says the FinanceOS MCP connector "is a paid feature" requiring a FinanceOS AI connector subscription, while the pricing page has described AI agents and the connector as included on all plans. Get it in writing in your order form.
Sources
- Vendr — Datarails pricing data — www.vendr.com/marketplace/datarails
- Datarails — Datarails cost and features (vendor blog) — www.datarails.com/blog/datarails-cost-and-features-2/
- Datarails — FinanceOS MCP Server technical documentation — support.datarails.com/hc/en-us/articles/25849710214556
- Datarails — Pricing page — www.datarails.com/pricing/
- Claude connector directory — Datarails FinanceOS — claude.com/marketplace/connectors/datarails-financeos
- CFO Dive — Datarails raises $70M, rolls out AI agents — www.cfodive.com/news/finance-tech-firm-datarails-raises-70m-rolls-ai-a
- Datarails — Genius AI in finance — www.datarails.com/genius-ai-in-finance/
- Datarails — FP&A Software Comparison Guides 2026 (Sept 2026) — www.datarails.com/compare/
Benchmarks are third-party estimates of what buyers paid, not list prices. Your quote depends on users, entities, modules and negotiation. Spot an error? Email hello@fpastack.com and we will fix it and note the correction.
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