Simple, transparent pricing

Start free during beta. Scale as your data grows. No hidden fees, no surprises.

Starter

Get started with unified data. Perfect for exploring what clean, connected data can do for your business.

Freeduring beta
  • Up to 3 data sources
  • 5,000 records
  • Deterministic matching
  • Basic data quality dashboard
  • Claude MCP access
  • Email support
Start Free
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Growth

For teams ready to unify all their data and unlock AI-powered intelligence across every system.

$1,500/mocoming soon
  • Unlimited data sources
  • 50,000 records
  • AI matching + embedding
  • Fuzzy + deterministic matching
  • Custom business context rules
  • Scheduled reports
  • Priority support
  • Advanced data quality monitoring
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Enterprise

For organizations with complex data landscapes, compliance requirements, and dedicated support needs.

Custom
  • Unlimited everything
  • Dedicated account manager
  • EU data residency
  • Custom integrations
  • SLA guarantee
  • SOC 2 compliance
  • SSO / SAML
  • Custom onboarding
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All plans include encryption, tenant isolation, and data export. Prices shown are estimates and may change before general availability.

Compare every feature

A detailed breakdown so you know exactly what you get.

StarterGrowthEnterprise
Data Sources
Connected sourcesUp to 3UnlimitedUnlimited
Supported integrations1,000+1,000+1,000+ custom
Record limit5,00050,000Unlimited
Real-time sync
Matching
Deterministic matching
Fuzzy matching
AI embedding matching
Match review & approval
Custom matching rules
Intelligence
Claude MCP access
Business context rules
Custom metrics & segments
Scheduled reports
Data quality monitoringBasicAdvancedAdvanced
BI dashboards
Security & Compliance
Encryption (AES-256 / TLS 1.3)
Tenant data isolation
EU data residency
SOC 2 compliance
SSO / SAML
SLA guarantee
Support
Email support
Priority support
Dedicated account manager
Custom onboarding

Frequently asked questions

Everything you need to know about Tidyr and our pricing.

What happens when beta ends?

When we exit beta, Starter plan users will be given advance notice and a generous transition period. You won’t lose access overnight. We’ll grandfather early adopters with the best available terms as a thank-you for helping us build Tidyr.

How does Tidyr connect to Claude?

Tidyr serves your unified business data to Claude via the Model Context Protocol (MCP). Once connected, Claude can query your real, matched, deduplicated data across all your systems—CRM, finance, support—in a single conversation. No CSV exports, no copy-pasting.

Is my data secure?

Yes. All data is encrypted at rest (AES-256) and in transit (TLS 1.3). Each tenant’s data is logically isolated—there is no cross-contamination between accounts. We’re on the SOC 2 compliance pathway, and Enterprise customers can opt into EU data residency for full GDPR alignment.

What data sources do you support?

Tidyr supports 1,000+ data sources through Fivetran, including HubSpot, Salesforce, Xero, QuickBooks, Stripe, Intercom, Zendesk, and many more. If your tool has an API, we can likely connect it. Enterprise customers can request custom integrations for proprietary systems.

Can I export my data?

Absolutely. You own your data. You can export your unified records, match results, and golden entities at any time. We believe in data portability—there are no lock-in mechanics or export fees.

What’s the Model Context Protocol (MCP)?

MCP is an open standard created by Anthropic that lets AI assistants like Claude connect to external data sources securely. Instead of uploading files or pasting data, Claude can directly query your Tidyr-unified data in real time. Think of it as giving Claude a live, read-only window into your business.

Do I need a data team to use Tidyr?

No. Tidyr is built for business leaders, not engineers. Connect your tools, review AI-suggested matches, add your business context, and you’re done. The entire setup takes minutes, not months.

How does AI matching work?

Tidyr uses a three-layer matching approach. First, deterministic rules catch exact and near-exact matches (same email, same domain). Second, fuzzy matching handles variations like “Acme Corp” vs. “ACME Corporation.” Third, AI embedding models capture semantic similarity that rules can’t. You review and approve all matches before they’re applied.

Not sure which plan?

Tell us about your data landscape and we’ll help you find the right fit. No pressure, no commitment.

Free during beta. No credit card required.