Tonic.ai

Tonic.ai builds developer-data products for de-identifying, subsetting, and synthesizing data for AI and software teams. The portfolio includes Tonic Structural (structured/semi-structured data), Tonic Textual (unstructured free-text and files), Tonic Validate (RAG evaluation), and Tonic Fabricate (relational synthetic data and mock APIs). Each product ships its own REST API and SDKs.

Tonic.ai publishes 7 API contracts indexed on the APIs.io network, including Generate Data API, Table Relationships API, Workspaces API, and 4 more. Tagged areas include Synthetic Data, De-Identification, Privacy, Unstructured Data, and RAG Evaluation.

The Tonic.ai catalog on APIs.io includes 1 Spectral governance ruleset.

Tonic.ai’s developer surface includes engineering blog, authentication, documentation, GitHub presence, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

29.3/100 thin ▬ flat Agent 33/100 agent ready Front door AI 6/6 dominant Heartbeat 66/100 alive open core · MIT Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreeSelf serve⚡ Free to try

1 published contract 1 MCP Servers

Synthetic Data De-Identification Privacy Unstructured Data RAG Evaluation REST SDK Developer Tools

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 29.3/100 · thin

Contract Quality 7.4 / 16

Developer Ergonomics 5.0 / 13

Access Clarity 0.6 / 13

Operational Transparency 2.0 / 8

Contract Governance 1.1 / 8

Discoverability 4.9 / 7

Regulatory Posture 0.9 / 15

Open Source Surface 2.5 / 10

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 33/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 65 points between them, because both conditional facets apply and carry 35 points together. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 65% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented) Ask about this →
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks Ask about this →

6 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 4.3 — up to +19.1 composite points Ask about this →
Contract Quality scores 45.6 — up to +13.6 composite points Ask about this →
Developer Ergonomics scores 38.1 — up to +12.4 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/tonic-ai/apis.yml: open an issue on github.com/api-evangelist/tonic-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 4

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

REST

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

OpenAPI

measured — observed by APIs.io (published)

APIs 7

Individual APIs this provider publishes, each with its own machine-readable definition.

Tonic Structural REST API

REST API for Tonic Structural - de-identify, subset, and synthesize structured and semi-structured data. Authentication via API token in the Authorization header (Authorization ...

Tonic Textual REST API

REST API for Tonic Textual - de-identify, redact, and synthesize unstructured data, free-text, and files. Authentication via API key in the Authorization header. Backed by a Pyt...

Tonic Validate

Tonic Validate is an open-source RAG evaluation framework and metrics platform for measuring retrieval-augmented generation quality. Used via a Python SDK that reports runs to t...

Tonic Fabricate

Tonic Fabricate generates synthetic relational data, free-text, and mockable APIs from a schema definition. Used through the Fabricate web app and project APIs.

Tonic.ai Generate Data API

The Generate Data API from Tonic.ai — 2 operation(s) for generate data.

Tonic.ai Table Relationships API

The Table Relationships API from Tonic.ai — 1 operation(s) for table relationships.

Tonic.ai Workspaces API

The Workspaces API from Tonic.ai — 1 operation(s) for workspaces.

Scroll for all 7

Open Collections 4

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Tonic Structural REST Generate Data API

OPEN COLLECTION

Tonic Structural REST Generate Data Table Relationships API

OPEN COLLECTION

Tonic Structural REST Generate Data Workspaces API

OPEN COLLECTION

Tonic Structural REST API

OPEN COLLECTION

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Tonic.ai MCP Server

Remote MCP server at fabricate.tonic.ai over HTTP.

MCP SERVER

Tonic.ai API pricing

Not yet checked against Tonic.ai's own pricing page. Compiled by API Evangelist on 2026-05-22; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Free freemium	Free

Plan details, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Pro Tier Default: 120 requests per minute

Compiled by API Evangelist, not yet checked against Tonic.ai's documentation. Rate-limit details →

Pricing Plans 1

Published pricing tiers and plan structures.

Tonic.ai Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Tonic.ai Rate Limits

2 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Tonic.ai Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Tonic.ai API Rules

43 rules · 41 error-severity 1 warn-severity 1 info-severity

SPECTRAL

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Tonic.ai Authentication

apiKey · 1 scheme

SECURITY

Tonic.ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

Recommended x-agentic-access execution contracts for AI agents.

Tonic.ai Agentic Access

4 operations · 1 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

LlmsText

LlmsText

Build 1

SDKs, sample code, and the tooling you integrate with

GitHub

GitHub

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 3

Status, limits, changes, and where to get help

IssueTracker

IssueTracker

Releases

Releases

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

License

License

Plans

Plans

FinOps

FinOps

Company 4

The organization behind the API

Blog

Blog

BlogRSS

BlogRSS

Website

Website

LinkedIn

Source (apis.yml)

aid: tonic-ai
url: https://raw.githubusercontent.com/api-evangelist/tonic-ai/refs/heads/main/apis.yml
name: Tonic.ai
kind: company
description: Tonic.ai builds developer-data products for de-identifying, subsetting, and synthesizing data for AI and software
  teams. The portfolio includes Tonic Structural (structured/semi-structured data), Tonic Textual (unstructured free-text
  and files), Tonic Validate (RAG evaluation), and Tonic Fabricate (relational synthetic data and mock APIs). Each product
  ships its own REST API and SDKs.
deliveryModel:
  model: open-core
  license: MIT
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: free
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Free · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/tonic-ai.png
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-10-17
tags:
- Synthetic Data
- De-Identification
- Privacy
- Unstructured Data
- RAG Evaluation
- REST
- SDK
- Developer Tools
created: '2026-05-23'
modified: '2026-10-06'
specificationVersion: '0.23'
apis:
- aid: tonic-ai:structural-api
  name: Tonic Structural REST API
  description: REST API for Tonic Structural - de-identify, subset, and synthesize structured and semi-structured data. Authentication
    via API token in the Authorization header (Authorization Apikey <token>). API tokens are created from User Settings and
    do not expire. All requests are versioned.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.tonic.ai/app/api/api-documentation
  baseURL: https://app.tonic.ai
  tags:
  - REST
  - Structural
  - Synthetic Data
  - De-Identification
  properties:
  - type: Documentation
    url: https://docs.tonic.ai/app/api/api-documentation
  - type: APIReference
    url: https://app.tonic.ai/apidocs/index.html
  - type: GetToken
    url: https://docs.tonic.ai/app/api/tonic-api-get-token
  - type: Examples
    url: https://docs.tonic.ai/app/api/api-examples
- aid: tonic-ai:textual-api
  name: Tonic Textual REST API
  description: REST API for Tonic Textual - de-identify, redact, and synthesize unstructured data, free-text, and files. Authentication
    via API key in the Authorization header. Backed by a Python SDK (tonic-textual).
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.tonic.ai/textual
  baseURL: https://textual.tonic.ai/api
  tags:
  - REST
  - Textual
  - Unstructured
  - Redaction
  properties:
  - type: Documentation
    url: https://docs.tonic.ai/textual/textual-rest-api/rest-api-authentication
  - type: SDKs
    title: Python (tonic-textual)
    url: https://tonic-textual-sdk.readthedocs-hosted.com/en/latest/index.html
- aid: tonic-ai:validate
  name: Tonic Validate
  description: Tonic Validate is an open-source RAG evaluation framework and metrics platform for measuring retrieval-augmented
    generation quality. Used via a Python SDK that reports runs to the Tonic Validate web UI.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://www.tonic.ai/products/validate
  baseURL: https://validate.tonic.ai
  tags:
  - RAG
  - Evaluation
  - Metrics
  - SDK
  - Python
  properties:
  - type: ProductPage
    url: https://www.tonic.ai/products/validate
  - type: SourceCode
    url: https://github.com/TonicAI/tonic_validate
- aid: tonic-ai:fabricate
  name: Tonic Fabricate
  description: Tonic Fabricate generates synthetic relational data, free-text, and mockable APIs from a schema definition.
    Used through the Fabricate web app and project APIs.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://www.tonic.ai/products/fabricate
  baseURL: https://fabricate.tonic.ai
  tags:
  - Synthetic Data
  - Relational
  - Mock API
  properties:
  - type: ProductPage
    url: https://www.tonic.ai/products/fabricate
  - type: Documentation
    url: https://docs.tonic.ai/fabricate
- aid: tonic-ai:tonic-ai-generate-data-api
  name: Tonic.ai Generate Data API
  description: The Generate Data API from Tonic.ai — 2 operation(s) for generate data.
  humanURL: https://docs.tonic.ai/app/api/api-documentation
  baseURL: https://app.tonic.ai
  tags:
  - Generate Data
  properties:
  - type: OpenAPI
    url: openapi/tonic-ai-generate-data-api-openapi.yml
- aid: tonic-ai:tonic-ai-table-relationships-api
  name: Tonic.ai Table Relationships API
  description: The Table Relationships API from Tonic.ai — 1 operation(s) for table relationships.
  humanURL: https://docs.tonic.ai/app/api/api-documentation
  baseURL: https://app.tonic.ai
  tags:
  - Table Relationships
  properties:
  - type: OpenAPI
    url: openapi/tonic-ai-table-relationships-api-openapi.yml
- aid: tonic-ai:tonic-ai-workspaces-api
  name: Tonic.ai Workspaces API
  description: The Workspaces API from Tonic.ai — 1 operation(s) for workspaces.
  humanURL: https://docs.tonic.ai/app/api/api-documentation
  baseURL: https://app.tonic.ai
  tags:
  - Workspace
  tags_raw:
  - Workspaces
  properties:
  - type: OpenAPI
    url: openapi/tonic-ai-workspaces-api-openapi.yml
common:
- url: https://www.tonic.ai/blog
  type: Blog
- url: https://www.tonic.ai/blog/rss.xml
  type: BlogRSS
- type: IssueTracker
  url: https://github.com/TonicAI/tonic_validate/issues
- type: Releases
  url: https://github.com/TonicAI/tonic_validate/releases
- type: License
  name: MIT
  url: https://github.com/TonicAI/tonic_validate/blob/main/LICENSE
- type: AgenticAccess
  url: agentic-access/tonic-ai-agentic-access.yml
- type: DomainSecurity
  url: security/tonic-ai-domain-security.yml
- type: Authentication
  url: authentication/tonic-ai-authentication.yml
- type: Website
  url: https://www.tonic.ai/
- type: Documentation
  url: https://docs.tonic.ai/
- type: GitHub
  url: https://github.com/TonicAI
- type: LinkedIn
  url: https://www.linkedin.com/company/tonicfakedata
- type: Plans
  url: plans/tonic-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/tonic-ai-rate-limits.yml
- type: FinOps
  url: finops/tonic-ai-finops.yml
- type: LlmsText
  url: https://docs.tonic.ai/llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Tonic.ai API — frequently asked questions

Does Tonic.ai have an API?

Yes. APIs.io lists 7 APIs from Tonic.ai, including Tonic Structural REST API, Tonic Textual REST API and Tonic Validate, and 4 more.

Is there an OpenAPI specification for the Tonic.ai API?

Yes. APIs.io indexes 3 OpenAPI specifications for Tonic.ai, each linked for download from this page.

How do I authenticate with the Tonic.ai API?

Tonic.ai uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Tonic.ai Authentication.

How much does the Tonic.ai API cost?

APIs.io lists 1 pricing plan for Tonic.ai, with each plan's price, limits and inclusions under Pricing on this page.

Does Tonic.ai have an MCP server?

Yes. APIs.io lists 1 MCP server for Tonic.ai: Remote MCP server at fabricate.tonic.ai over HTTP.

Is the Tonic.ai API ready for AI agents?

Tonic.ai has a Kin Score of 29.3 out of 100 (thin) and an Agent Readiness score of 32.8 (agent-ready), scored by API Evangelist on 2026-11-13.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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