Tonic Fabricate

Tonic Fabricate uses a conversational AI agent to create synthetic data for databases, APIs, and files. It is intended for product development, software testing, AI model training, reinforcement learning environments, and sales demos. Generated material can include relational records, JSON, PDFs, DOCX files, and emails, with domain details and relationships preserved. An optional Validation Agent checks generated output and prompts refinements to better fit the request. Fabricate can create mock APIs from uploaded specifications and define automated workflows callable through an API. Its MCP supports data generation from compatible clients such as Claude and Cursor. Listed connections and formats include PostgreSQL, MySQL, Oracle, Databricks, Snowflake, SQL Server, MongoDB, Amazon S3, Avro, Iceberg, and Parquet. Tonic says it creates new synthetic records to help reduce exposure to real personal or sensitive information. The Free plan costs nothing and includes $5 in monthly credits. Plus costs $29 a month with $25 in monthly credits; Enterprise pricing is custom.

Fabricate combines synthetic data generation with mock APIs and API-callable workflows. Teams can start with the Free plan, while Enterprise lists self-hosting as an option.

Fabricate suits teams that need generated data for software development, testing, AI work, or demos, including those working with databases, APIs, and files.

Tonic Fabricate is a synthetic-data generation service built around a conversational AI agent. It is best suited to teams that need realistic datasets, documents, or API fixtures for development and testing. Its range of outputs is a clear advantage, but meaningful use depends on credit allowances and paid plans are cloud-hosted unless you choose Enterprise.

Overview

Fabricate generates domain-specific data for product development, software testing, AI model training, reinforcement-learning environments, and sales demonstrations. It can create related database records as well as files such as PDFs, DOCX documents, and emails, making it a broader fit than tools focused solely on database masking or tabular test data.

Generated relational data can retain referential integrity, which helps when test scenarios depend on records connecting correctly across tables. An optional Validation Agent reviews results and prompts refinements to better match the request. Tonic says generating new synthetic records can reduce exposure to real personal or sensitive data and support GDPR and HIPAA efforts; that does not replace an organization’s own compliance controls.

Key features

Fabricate supports CSV, JSON, XML, SQL, PDF, DOCX, EML, relational databases, Avro, Iceberg, and Parquet. Its connections include PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Snowflake, Databricks, and Amazon S3. That format and connector range is useful for teams assembling test fixtures across data stores and file-based workflows; the published plan details distinguish Enterprise exports by adding Microsoft SQL Server and Oracle to expanded exports.

It can produce mock APIs from uploaded API specifications and define automated workflows that are callable through an API. The Fabricate MCP also lets users request synthetic data from compatible clients such as Claude and Cursor. These features make it relevant to teams that want generation to fit into API-based or MCP-client workflows, not just a standalone data-export process.

Tonic’s Trust Center describes least-privilege access, SOC 2 reporting, and annual third-party static code analysis and manual penetration tests. Those controls may matter to teams assessing a hosted service, while Enterprise is the only plan with self-hosting among the stated deployment choices.

Pricing

Fabricate has a Free plan and paid plans, with Plus starting at $29 a month. Free and Plus deploy through Tonic Cloud; Enterprise offers Tonic Cloud or self-hosting.

Free is a way to try generation without a monthly fee, but its $5 monthly credit pool is small for sustained workloads. Plus raises the allowance to $25 and adds email support, but additional usage is metered, so the listed monthly price is not a cap on spend. Signup terms distinguish work and personal email: work-email signups receive $10 in monthly AI credits and access to all available models, while personal-email signups receive $5 and a limited model set. Enterprise suits organizations that need pooled usage, centralized administration, dedicated support, or self-hosting; its price is custom.

Platforms

Fabricate is available through the web and API, with hybrid deployment options. Free and Plus use Tonic Cloud, while Enterprise can be self-hosted. That makes the lower-cost plans less suitable when deployment control requires keeping the service self-hosted.

Who it's for

Fabricate is a strong fit for product and engineering teams that need coherent synthetic records alongside documents, mock APIs, or automated API-callable workflows. It also addresses AI training, reinforcement-learning environments, and sales demos. Teams with small or exploratory workloads can start on Free; teams with recurring use can consider Plus, provided metered usage fits their budget. Organizations that require self-hosting or centralized controls should focus on Enterprise.

Pros and cons

• Pro: It generates connected relational data as well as multiple document and data formats, supporting test workflows that span more than one output type.
• Pro: Mock API generation, API-callable workflows, and MCP access offer several ways to use generation in development processes.
• Pro: Enterprise includes self-hosting, SSO, RBAC-enabled workspaces, and pooled usage for organizations needing those controls.
• Con: Free includes only $5 monthly credits, limiting its usefulness for sustained generation.
• Con: Plus charges metered additional usage, so the monthly fee does not establish a fixed total cost.
• Con: Self-hosting is reserved for Enterprise, leaving Free and Plus tied to Tonic Cloud.

Alternatives

For a different route, compare MOSTLY AI, which has a free plan and API, Linux, self-hosted, and web platforms, with no further free-plan limits stated. If the need is specifically database software, MySQL offers a free Community Edition under the GPL with SQL and NoSQL applications and replication and high-availability components. For an open-source Windows desktop tool, Data Mask Studio is free; ARX Data Anonymization Tool is a free Apache 2.0 option across API, Linux, macOS, self-hosted, and Windows platforms.

Teams focused on PostgreSQL masking can consider free Greenmask, which supports PostgreSQL with MySQL support in progress. DataVeil has a free Community License that never expires and covers databases up to 10GB, with free dataset and user SQL masks. Jailer is a free Apache-licensed database tool. For more options, browse Data Masking Software, Test Data Generation Tools, Test Data Management Software, or AI Synthetic Data Generators.

Verdict

Choose Tonic Fabricate if your team needs synthetic data that spans related records, files, and API workflows, with an optional validation loop. Its breadth is the central reason to choose it; small credits on Free, metered Plus overages, and Enterprise-only self-hosting are the main reasons to look elsewhere.