Gretel

Gretel is a synthetic data platform for tabular, text, and time-series data. It pairs a REST API and Python client (gretel-client) with Gretel Navigator and a library of model recipes for generating, transforming, and de-identifying data. The platform exposes ingestion, project, model, and record-handler endpoints over HTTPS.

Gretel is listed with 2 APIs on the APIs.io network. Tagged areas include Synthetic Data, Privacy Engineering, Tabular, Text, and Time Series.

Gretel’s developer surface includes documentation, GitHub presence, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

13.2/100 emerging ▬ flat Agent 1/100 human only Front door AI 6/6 dominant open core · Apache-2.0 Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →

AccessFree

2 APIs

Synthetic Data Privacy Engineering Tabular Text Time Series REST Python SDK Ai Data

Kin Score

Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0

Composite quality — 13.2/100 · emerging

Contract Quality 0.0 / 19

Developer Ergonomics 1.8 / 15

Access Clarity 0.8 / 15

Operational Transparency 2.6 / 10

Contract Governance 0.0 / 9

Discoverability 5.0 / 8

Regulatory Posture 0.9 / 15

Open Source Surface 2.5 / 10

Agent readiness — 1/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 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 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 75 points between them, because both conditional facets apply and carry 25 points together. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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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 github.com/api-evangelist/gretel-ai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Hugging Face Hub Organisations	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

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

APIs 2

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

Gretel REST API

REST API for Gretel's synthetic data platform. Lets you ingest data, manage projects, train models, run record handlers, and pull artifacts. Used as the backend for the gretel-c...

Gretel Python Client SDK

Python SDK and CLI (gretel-client) for interacting with Gretel APIs. Provides a high-level Gretel interface plus lower-level Projects, Models, and Record Handler SDKs.

Pricing Plans 1

Published pricing tiers and plan structures.

Gretel Ai Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Gretel Ai Rate Limits

2 limits

RATE LIMITS

FinOps 1

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

Gretel Ai Finops

FINOPS

Security Posture 1

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

Gretel Ai Domain Security

TLSv1.2 · DMARC

SECURITY

Resources

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIDocs

APIDocs

Build 1

SDKs, sample code, and the tooling you integrate with

GitHub

GitHub

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

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 2

The organization behind the API

Website

Website

LinkedIn

Source (apis.yml)

aid: gretel-ai
url: https://raw.githubusercontent.com/api-evangelist/gretel-ai/refs/heads/main/apis.yml
name: Gretel
kind: company
description: Gretel is a synthetic data platform for tabular, text, and time-series data. It pairs a REST API and Python client
  (gretel-client) with Gretel Navigator and a library of model recipes for generating, transforming, and de-identifying data.
  The platform exposes ingestion, project, model, and record-handler endpoints over HTTPS.
deliveryModel:
  model: open-core
  license: Apache-2.0
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: free
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Free
  confidence: medium
  source:
  - plans
  - url: https://gretel.ai/
    status: 301
    note: declared website redirects to https://www.nvidia.com/en-us/use-cases/synthetic-data-generation-for-agentic-ai/ —
      a different registrable domain (gretel.ai -> nvidia.com), possible rename or acquisition (probed 2026-09-03, roadmap#169)
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/gretel-ai.png
tags:
- Synthetic Data
- Privacy Engineering
- Tabular
- Text
- Time Series
- REST
- Python SDK
- Ai Data
tags_raw:
- Synthetic Data
- Privacy Engineering
- Tabular
- Text
- Time-Series
- REST
- Python SDK
- AI Data
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.23'
apis:
- aid: gretel-ai:rest-api
  name: Gretel REST API
  description: REST API for Gretel's synthetic data platform. Lets you ingest data, manage projects, train models, run record
    handlers, and pull artifacts. Used as the backend for the gretel-client Python SDK and CLI.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://api.docs.gretel.ai/
  baseURL: https://api.gretel.ai
  tags:
  - REST
  - Project
  - Models
  - Synthetic Data
  tags_raw:
  - REST
  - Projects
  - Models
  - Synthetic Data
  properties:
  - type: Documentation
    url: https://api.docs.gretel.ai/
  - type: ProductDocs
    url: https://docs.gretel.ai/
  - type: SDKs
    title: Python (gretel-client)
    url: https://python.docs.gretel.ai/
  - type: SourceCode
    title: gretel-python-client
    url: https://github.com/gretelai/gretel-python-client
- aid: gretel-ai:python-sdk
  name: Gretel Python Client SDK
  description: Python SDK and CLI (gretel-client) for interacting with Gretel APIs. Provides a high-level Gretel interface
    plus lower-level Projects, Models, and Record Handler SDKs.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://python.docs.gretel.ai/
  baseURL: https://api.gretel.ai
  tags:
  - SDK
  - Python
  - CLI
  properties:
  - type: Documentation
    url: https://python.docs.gretel.ai/
  - type: SourceCode
    url: https://github.com/gretelai/gretel-python-client
  - type: Setup
    url: https://docs.gretel.ai/gretel-basics/getting-started/environment-setup/cli-and-sdk
common:
- type: IssueTracker
  url: https://github.com/gretelai/gretel-python-client/issues
- type: Releases
  url: https://github.com/gretelai/gretel-python-client/releases
- type: License
  name: Apache-2.0
  url: https://github.com/gretelai/gretel-python-client/blob/main/LICENSE
- type: DomainSecurity
  url: security/gretel-ai-domain-security.yml
- type: Website
  url: https://gretel.ai/
- type: Documentation
  url: https://docs.gretel.ai/
- type: APIDocs
  url: https://api.docs.gretel.ai/
- type: GitHub
  url: https://github.com/gretelai
- type: LinkedIn
  url: https://www.linkedin.com/company/gretelai
- type: Plans
  url: plans/gretel-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/gretel-ai-rate-limits.yml
- type: FinOps
  url: finops/gretel-ai-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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