ChatGPT Plugin

Adaption

AI datasets & model training

Brand: Unknown

Category: Pending
Primary Subcategory: Prompt, Model & Compute Tooling

Integration details

Description

Import, adapt, augment, translate, and combine datasets. Launch AutoScientist training runs. Generate synthetic datasets with Invent.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Prompt, Model & Compute Tooling
Secondary Subcategories: None listed
Brand: Unknown
Access: Account required
First tracked: 2026-10-13
Tool count: 18
Geography: US

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Primary Subcategory

Competing in ChatGPT Prompt, Model & Compute Tooling

View Category

Listed in alphabetical order

Primary Subcategory

AdaptionComing soonGet notified

DEEPBOM Artifact EvidenceComing soonGet notified

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Hugging FaceComing soonGet notified

JunoComing soonGet notified

Tools

18 tools agents can invoke

Estimate or launch creation of a new dataset containing the source rows plus curated domain/general rows, or generate similar rows based on the seed dataset.
augment_dataset
Combine compatible ready datasets into one new dataset. This is idempotent when the same idempotency key is reused.
combine_datasets
Launch a new asynchronous AutoScientist training run on a ready dataset. This spends credits; poll get_autoscientist_run afterward.
create_autoscientist_run
Estimate or launch generation of a new invented dataset. Launches consume credits.
generate_dataset
Poll one AutoScientist run, including iteration progress and any public failure message.
get_autoscientist_run
Get a concise public view of one dataset, including processing and column information.
get_dataset
Get quality evaluation status and results for one dataset.
get_dataset_evaluation
Poll saved external export URLs for a dataset after an export operation.
get_dataset_export_links
Poll dataset processing status and progress. Use after an asynchronous dataset operation.
get_dataset_status
Import a dataset from a HuggingFace, Kaggle, or Google Sheets URL.
import_dataset
List AutoScientist runs, optionally filtered to one dataset.
list_autoscientist_runs
List datasets visible to the authenticated Adaption organization. Returns concise status and pagination fields.
list_datasets
List valid domain and qualified subdomain codes for dataset generation.
list_invent_domains
List base models currently available for AutoScientist training.
list_training_models
Estimate or launch creation of a new dataset with sampled rows localized for country/language pairs.
localize_dataset
Resolve a suitable model and hyperparameters for a ready dataset without launching a run.
recommend_autoscientist_hyperparameters
Estimate or launch adaptation for an imported dataset. Poll dataset status after launch.
run_dataset_adaptation
Estimate or launch creation of a new dataset with sampled rows translated into target languages.
translate_dataset

FAQs

Adaption ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Adaption's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Adaption alternatives on ChatGPT?

As of 2026-10-13, Adaption competes with DEEPBOM Artifact Evidence, EmpirioLabs AI, Hugging Face, Juno, Movena, OpenAI Platform, PartnerProf - Quanntum Core, PingPrompt and 7 more in ChatGPT Prompt, Model & Compute Tooling, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.