Gretel website screenshot

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 publishes 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.

19.1/100 emerging ▬ flat Agent 3/100 human only Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0
AccessFree
2 APIs
Synthetic DataPrivacy EngineeringTabularTextTime SeriesRESTPython SDKAi Data

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0
Composite quality — 19.1/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 1.0 / 20
Access Clarity 5.8 / 20
Operational Transparency 5.5 / 13
Contract Governance 0.0 / 12
Discoverability 6.9 / 10
Agent readiness — 3/100 · 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 Surface 0 / 5
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. 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. Want it done for you? Prioritized profiling — $2,500 →

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.

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.

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

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
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.
accessModel:
  pricing: free
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Free
  confidence: medium
  source:
  - plans
  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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