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 7 more developer resources.
Kin Score
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
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Gretel Ai Finops
FINOPSSecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals.
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 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API