Tonic Fabricate

Tonic Fabricate is a synthetic-data generator for teams that need realistic records, files, or API responses for development and testing. It suits product and engineering teams that want generation and validation in one workflow. Its breadth is useful, but credit limits and the gap between cloud plans and Enterprise hosting deserve close attention.

Overview

Fabricate uses a conversational AI agent to produce domain-specific synthetic data, including relational records and documents. It targets product development, software testing, AI model training, reinforcement-learning environments, and sales demos. Its strongest case is variety: one product can generate across databases, APIs, and files rather than focusing only on tabular records.

Generated records can preserve referential integrity, which matters when test data spans related tables. An optional Validation Agent reviews output and prompts refinements against the request. That validation loop can help when a dataset must meet specific requirements, though it does not remove the need to assess whether the generated output is fit for its intended use.

Key features

Fabricate generates JSON, PDFs, DOCX documents, emails, and relational data, with supported formats also including CSV, XML, SQL, Avro, Iceberg, and Parquet. Connections include PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Snowflake, Databricks, and Amazon S3. The combination is well suited to teams moving test fixtures between structured and document-based systems.

It can build mock APIs from uploaded API specifications and define automated workflows callable through an API. Its MCP lets users generate data from compatible clients such as Claude and Cursor. Those options make Fabricate more than a one-off dataset generator, particularly for teams wiring synthetic data into existing development processes.

Tonic describes Fabricate as generating new synthetic records to help reduce exposure to real personal or sensitive data and support GDPR and HIPAA compliance. Tonic's Trust Center describes least-privilege access, SOC 2 reporting, and annual third-party static code analysis and manual penetration tests. These are relevant safeguards, but synthetic data should not be mistaken for a blanket compliance guarantee.

Pricing

Free costs nothing and includes $5 in monthly credits, basic data exports, Discord support, and Tonic Cloud deployment. That is a useful way to start, but the credit allowance constrains sustained generation. The pricing page gives $5; signup offers $10 in monthly AI credits and all available models for work-email signups, versus $5 and a limited model set for personal-email signups.

Plus costs $29 a month and includes $25 in monthly credits, metered additional usage, basic exports, Discord and email support, and Tonic Cloud deployment. It suits regular use better than Free, but additional usage is metered, so the monthly fee alone does not set a ceiling on spend.

Enterprise has custom pricing and includes custom and pooled usage, centralized billing, expanded exports including Microsoft SQL Server and Oracle, dedicated support, multiple workspaces with role-based access control, and SSO. It is also the only plan with a self-hosting option; Free and Plus use Tonic Cloud. Teams that require self-hosting, expanded exports, or centralized administration will need to consider Enterprise rather than the lower-cost plans.

Platforms

Fabricate is offered through a web interface and API, with cloud and self-hosted deployment options. The lower plans are cloud-hosted; self-hosting appears with Enterprise. That makes the product flexible across deployment needs, but not at every price tier.

Who it's for

Fabricate is a strong fit for engineering and product teams that need connected synthetic records, varied file outputs, mock APIs, or repeatable generation workflows. It is also relevant to AI teams preparing training data and to sales teams building demos. Teams with modest or exploratory needs can begin on Free; recurring use may justify Plus, while organizations requiring self-hosting, SSO, or expanded exports should evaluate Enterprise.

It is a less natural fit for buyers who need predictable high-volume use under a fixed monthly allowance: Plus meters overage. It may also be unsuitable for organizations that require self-hosting but cannot use a custom-priced Enterprise plan.

Pros and cons

• Pros: Referentially intact records and support for databases, APIs, and document formats cover a broad range of testing and demo needs.
• Pros: Optional validation and refinements can help bring generated output closer to a specific request.
• Pros: Mock APIs, callable workflows, API access, and MCP support offer several ways to incorporate generation into development tools.
• Cons: Free includes only $5 in monthly credits on the pricing page, limiting how much ongoing generation it can support.
• Cons: Plus charges metered additional usage, making costs less predictable when demand exceeds its $25 monthly credits.
• Cons: Self-hosting, SSO, and expanded exports are reserved for Enterprise, which has custom pricing.

Alternatives

Browse AI Synthetic Data Generators, Test Data Generation Tools, or Data Masking Software to compare products by category.

MOSTLY AI is worth considering if a freemium option is the priority; it has a free plan and supports API, Linux, self-hosted, and web platforms. Synth Studio offers a free-to-use plan capped at 1M rows per generation under an MIT License, making it a clear option for buyers who want a stated generation cap and open-source licensing.

Synthetic Data Vault has a no-cost community plan with five data types, five basic constraints, nine models, CSV and Excel support, and local file types; choose it if those defined community capabilities suit the task. Synthesized is another freemium alternative, with API, Linux, self-hosted, and web platforms.

SynthCity is a free open-source Python library installable from PyPI or source, while REaLTabFormer is free MIT-licensed software for Python 3.7 or later. Both are Linux-compatible; REaLTabFormer also supports macOS, self-hosted, and Windows platforms. Syntho is a paid, web-based alternative. GenRocket is a paid option with annual, per-project licensing and a minimum of 20 test data projects; consider it if project-based licensing is a better fit.

Verdict

Choose Tonic Fabricate if your team needs synthetic data across connected records, files, and APIs, with validation and workflow options in the same product. Its breadth is the main reason to choose it. Look elsewhere if you need self-hosting without Enterprise pricing or a firm spending ceiling on higher-volume use.