README.md

metadata

license: mit
gated: true
extra_gated_prompt: >
  This dataset requires a paid license. Please purchase access at the link below
  and provide your Hugging Face username. Once purchased, submit an access
  request on this page. Access is granted manually.
extra_gated_fields:
  HuggingFace Username: text
  Email: text
task_categories:
  - tabular-classification
language:
  - en
tags:
  - pandas
  - dataframe
  - generated
  - tabular
  - ai-coding-agents
  - developer-tools
  - market-intelligence
  - pricing-research
  - competitive-analysis
  - release-notes
  - github
  - developer-workflows
pretty_name: AI Coding Agent Pricing and Capability Dataset
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: data
        path: data/data.parquet

AI Coding Agent Pricing and Capability Dataset

A source-backed market-intelligence dataset for comparing AI coding agents and developer workflow agents across pricing, workflow support, release signals, repository activity, integrations, and public capability claims.

Each row represents one observed market signal tied to an official product page, official documentation page, official pricing page, public GitHub repository, or public GitHub release note. The dataset is built for pricing research, competitive analysis, benchmark-claim tracking, release monitoring, tool comparison, dashboard building, and technical due diligence. It is not a ranking of tool quality and does not guarantee productivity outcomes.

---

Dataset Preview

tool_id	tool_name	vendor_or_project	product_category	market_status	official_website_url	repo_url	source_url	source_domain	source_type	source_title	source_date	observed_date	extracted_date	signal_id	signal_type	signal_category	signal_name	signal_value_text	normalized_signal_value	signal_value_numeric	pricing_plan_name	pricing_amount_text	pricing_amount_numeric	pricing_unit	free_tier_availability	trial_availability	ide_support	terminal_support	browser_support	github_integration	gitlab_integration	code_review_support	repo_context_support	multi_file_editing_support	autonomous_task_support	cloud_agent_support	local_agent_support	mcp_support	tool_use_support	shell_command_support	pull_request_support	test_generation_support	debugging_support	enterprise_plan_availability	sso_or_team_controls	privacy_security_claims	model_support_summary	benchmark_name	benchmark_score_claim	capability_tags	workflow_tags	confidence_score	confidence_level	notes	source_excerpt	release_or_changelog_date	recency_days
openai-codex	OpenAI Codex	OpenAI	AI coding agent	commercial	https://developers.openai.com/codex/		https://help.openai.com/en/articles/20001106-codex-rate-card	help.openai.com	Official pricing page	Codex rate card | OpenAI Help Center		2026-06-05 18:40:17.210567	2026-06-05 18:40:17.210567	d759ab9dea36033d	capability	workflow_support	code_review_support	code review support	supported						unknown	unknown	unknown	unknown	unknown	unknown	unknown	yes	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	gpt|openai			code-review	code-review	88	medium	Commercial coding-agent signal extracted from an official vendor page.	Code review uses GPT-5.3-Codex.
openai-codex	OpenAI Codex	OpenAI	AI coding agent	commercial	https://developers.openai.com/codex/		https://help.openai.com/en/articles/20001106-codex-rate-card	help.openai.com	Official pricing page	Codex rate card | OpenAI Help Center		2026-06-05 18:40:17.210567	2026-06-05 18:40:17.210567	4b5e82f780a63727	capability	deployment_mode	cloud_agent_support	cloud agent support	supported						unknown	unknown	unknown	unknown	unknown	unknown	unknown	yes	unknown	unknown	unknown	yes	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	gpt|openai			cloud-agent	cloud-agent	88	medium	Commercial coding-agent signal extracted from an official vendor page.	Unit GPT-5.5 GPT-5.4 GPT-5.3-Codex GPT-5.1-Codex-mini Local Tasks 1 message ~14 credits ~7 credits ~... [179 more chars]
openai-codex	OpenAI Codex	OpenAI	AI coding agent	commercial	https://developers.openai.com/codex/		https://help.openai.com/en/articles/20001106-codex-rate-card	help.openai.com	Official pricing page	Codex rate card | OpenAI Help Center		2026-06-05 18:40:17.210567	2026-06-05 18:40:17.210567	5e2c6f386db1472d	capability	deployment_mode	local_agent_support	local agent support	supported						unknown	unknown	unknown	unknown	unknown	unknown	unknown	yes	unknown	unknown	unknown	yes	yes	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	unknown	gpt|openai			local-agent	local-agent	88	medium	Commercial coding-agent signal extracted from an official vendor page.	Unit GPT-5.5 GPT-5.4 GPT-5.3-Codex GPT-5.1-Codex-mini Local Tasks 1 message ~14 credits ~7 credits ~... [179 more chars]
openai-codex	OpenAI Codex	OpenAI	AI coding agent	commercial	https://developers.openai.com/codex/		https://help.openai.com/en/articles/20001106-codex-rate-card	help.openai.com	Official pricing page	Codex rate card | OpenAI Help Center		2026-06-05 18:40:17.211574	2026-06-05 18:40:17.211574	71e817dd0d5cf44a	capability	workflow_support	pull_request_support	pull request support	supported						unknown	unknown	unknown	unknown	unknown	unknown	unknown	yes	unknown	unknown	unknown	yes	yes	unknown	unknown	unknown	yes	unknown	unknown	unknown	unknown	unknown	gpt|openai			pr	pr	88	medium	Commercial coding-agent signal extracted from an official vendor page.	Codex rate card | OpenAI Help Center All Collections Codex Codex rate card Codex rate card Learn ho... [93 more chars]
openai-codex	OpenAI Codex	OpenAI	AI coding agent	commercial	https://developers.openai.com/codex/		https://help.openai.com/en/articles/20001106-codex-rate-card	help.openai.com	Official pricing page	Codex rate card | OpenAI Help Center		2026-06-05 18:40:17.211574	2026-06-05 18:40:17.211574	759960cdc2ae6b59	capability	pricing	enterprise_plan_availability	enterprise plan availability	supported						unknown	unknown	unknown	unknown	unknown	unknown	unknown	yes	unknown	unknown	unknown	yes	yes	unknown	unknown	unknown	yes	unknown	unknown	yes	unknown	unknown	gpt|openai			enterprise	enterprise	88	medium	Commercial coding-agent signal extracted from an official vendor page.	Codex rate card | OpenAI Help Center All Collections Codex Codex rate card Codex rate card Learn ho... [93 more chars]
openai-codex	OpenAI Codex	OpenAI	AI coding agent	commercial	https://developers.openai.com/codex/		https://help.openai.com/en/articles/20001106-codex-rate-card	help.openai.com	Official pricing page	Codex rate card | OpenAI Help Center		2026-06-05 18:40:17.211574	2026-06-05 18:40:17.211574	55a7fc0c01e2afcd	capability	security	sso_or_team_controls	sso or team controls	supported						unknown	unknown	unknown	unknown	unknown	unknown	unknown	yes	unknown	unknown	unknown	yes	yes	unknown	unknown	unknown	yes	unknown	unknown	yes	yes	unknown	gpt|openai			team|sso	team|sso	88	medium	Commercial coding-agent signal extracted from an official vendor page.	Depending on your plan and workspace role, you may also be able to view remaining credit, purchase c... [36 more chars]
openai-codex	OpenAI Codex	OpenAI	AI coding agent	commercial	https://developers.openai.com/codex/		https://help.openai.com/en/articles/11369540-using-codex-with-your-chatgpt-plan	help.openai.com	Official documentation page	Using Codex with your ChatGPT plan | OpenAI Help Center		2026-06-05 18:40:17.352908	2026-06-05 18:40:17.352908	2e4fd2b5334b3395	capability	workflow_support	ide_support	ide support	supported						yes	unknown	yes	unknown	unknown	unknown	unknown	yes	unknown	unknown	unknown	yes	yes	unknown	unknown	unknown	yes	unknown	unknown	yes	yes	unknown	gpt|openai			ide|editor	ide|editor	88	medium	Commercial coding-agent signal extracted from an official vendor page.	Using Codex with your ChatGPT plan | OpenAI Help Center All Collections Codex Using Codex with your... [177 more chars]
openai-codex	OpenAI Codex	OpenAI	AI coding agent	commercial	https://developers.openai.com/codex/		https://help.openai.com/en/articles/11369540-using-codex-with-your-chatgpt-plan	help.openai.com	Official documentation page	Using Codex with your ChatGPT plan | OpenAI Help Center		2026-06-05 18:40:17.352908	2026-06-05 18:40:17.352908	829f32bbce35707d	capability	workflow_support	terminal_support	terminal support	supported						yes	unknown	yes	yes	unknown	unknown	unknown	yes	unknown	unknown	unknown	yes	yes	unknown	unknown	unknown	yes	unknown	unknown	yes	yes	unknown	gpt|openai			terminal|cli	terminal|cli	88	medium	Commercial coding-agent signal extracted from an official vendor page.	Launch your preferred Codex client and follow the instructions to sign in with ChatGPT: Codex app Co... [125 more chars]
openai-codex	OpenAI Codex	OpenAI	AI coding agent	commercial	https://developers.openai.com/codex/		https://help.openai.com/en/articles/11369540-using-codex-with-your-chatgpt-plan	help.openai.com	Official documentation page	Using Codex with your ChatGPT plan | OpenAI Help Center		2026-06-05 18:40:17.352908	2026-06-05 18:40:17.352908	a6117362e622476b	capability	workflow_support	browser_support	browser support	supported						yes	unknown	yes	yes	yes	unknown	unknown	yes	unknown	unknown	unknown	yes	yes	unknown	unknown	unknown	yes	unknown	unknown	yes	yes	unknown	gpt|openai			browser|web	browser|web	88	medium	Commercial coding-agent signal extracted from an official vendor page.	Launch your preferred Codex client and follow the instructions to sign in with ChatGPT: Codex app Co... [125 more chars]
openai-codex	OpenAI Codex	OpenAI	AI coding agent	commercial	https://developers.openai.com/codex/		https://help.openai.com/en/articles/11369540-using-codex-with-your-chatgpt-plan	help.openai.com	Official documentation page	Using Codex with your ChatGPT plan | OpenAI Help Center		2026-06-05 18:40:17.352908	2026-06-05 18:40:17.352908	5d073c85fcca6934	capability	integration	github_integration	github integration	supported						yes	unknown	yes	yes	yes	yes	unknown	yes	unknown	unknown	unknown	yes	yes	unknown	unknown	unknown	yes	unknown	unknown	yes	yes	unknown	gpt|openai			github	github	88	medium	Commercial coding-agent signal extracted from an official vendor page.	Launch your preferred Codex client and follow the instructions to sign in with ChatGPT: Codex app Co... [125 more chars]

Access Requirements (Paid Dataset)

This dataset is behind manual gated access.

To obtain access:

1. Purchase the dataset here:
   https://thearticulated.gumroad.com/l/ai-coding-agent-pricing-and-capability-dataset

2. Provide your Hugging Face username at checkout.

3. Return to this Hugging Face page and click:
   "Request Access"

4. Your access will be approved within 1-12 hours.

Once approved, you can use the Python snippet at the bottom of this README to load the dataset.

---

Dataset Structure

Total rows: 917

Total columns: 58

Splits

• data: 917 rows

Data Files

• data: data/data.parquet

Data Dictionary

The table below describes the columns included in this dataset.

column	pandas_dtype	dataset_type	description
tool_id	object	string	Text column. Stable slug for the product or project.
tool_name	object	string	Text column. Display name of the coding agent or developer workflow agent.
vendor_or_project	object	string	Text column. Vendor, maintainer, or project organization associated with the tool.
product_category	object	string	Text column. High-level segment such as AI coding agent, developer workflow agent, or open-source coding agent.
market_status	object	string	Text column. Whether the tool is commercial or open-source.
official_website_url	object	string	Text column. Primary official website or documentation URL for the tool.
repo_url	object	string	Text column. GitHub repository URL when applicable.
source_url	object	string	Text column. Exact source URL used for the observed signal row.
source_domain	object	string	Text column. Domain extracted from the source URL.
source_type	object	string	Text column. Type of source used for the signal, such as official pricing page, official documentation, GitHub README, or GitHub release.
source_title	object	string	Text column. HTML title, repository name, or generated title for the source page.
source_date	datetime64[ns]	datetime	Date or timestamp column. Date associated with the source when available, such as a release publish date.
observed_date	datetime64[ns]	datetime	Date or timestamp column. UTC date when the row was observed during collection.
extracted_date	datetime64[ns]	datetime	Date or timestamp column. UTC date when the dataset extraction ran.
signal_id	object	string	Text column. Stable unique identifier for the specific source-backed signal row.
signal_type	object	string	Text column. Signal family such as pricing_plan, capability, integration, repo_metric, release_item, or benchmark_claim.
signal_category	object	string	Text column. More specific grouping for the signal, such as workflow_support, pricing, security, or releases.
signal_name	object	string	Text column. Normalized machine-friendly name for the signal.
signal_value_text	object	string	Text column. Human-readable value or evidence text for the signal.
normalized_signal_value	object	string	Text column. Normalized value label that helps analysts group similar signals.
signal_value_numeric	Float64	float	Decimal numeric column. Numeric value for the signal when applicable, such as stars, forks, or parsed price.
pricing_plan_name	object	string	Text column. Pricing plan or edition name when the signal is pricing-related.
pricing_amount_text	object	string	Text column. Raw pricing string or pricing-context text when observed.
pricing_amount_numeric	Float64	float	Decimal numeric column. Parsed numeric price when confidently extractable from the source text.
pricing_unit	object	string	Text column. Unit attached to the observed price, such as per month, per user per month, per hour, or credits.
free_tier_availability	object	string	Text column. Best-effort normalized value of yes, no, or unknown for a free tier.
trial_availability	object	string	Text column. Best-effort normalized value of yes, no, or unknown for a trial.
ide_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for IDE support.
terminal_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for terminal or CLI support.
browser_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for browser or web support.
github_integration	object	string	Text column. Best-effort normalized value of yes, no, or unknown for GitHub integration support.
gitlab_integration	object	string	Text column. Best-effort normalized value of yes, no, or unknown for GitLab integration support.
code_review_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for code review workflows.
repo_context_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for repository or codebase context support.
multi_file_editing_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for multi-file editing workflows.
autonomous_task_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for autonomous or delegated task execution.
cloud_agent_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for cloud-hosted or remote agent execution.
local_agent_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for local agent execution.
mcp_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for MCP support.
tool_use_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for tool-use or tool-calling support.
shell_command_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for shell-command execution support.
pull_request_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for pull-request workflows.
test_generation_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for test generation workflows.
debugging_support	object	string	Text column. Best-effort normalized value of yes, no, or unknown for debugging workflows.
enterprise_plan_availability	object	string	Text column. Best-effort normalized value of yes, no, or unknown for enterprise plan availability.
sso_or_team_controls	object	string	Text column. Best-effort normalized value of yes, no, or unknown for SSO or team-admin controls.
privacy_security_claims	object	string	Text column. Best-effort normalized value of yes, no, or unknown for privacy or security claims.
model_support_summary	object	string	Text column. Concise model-provider summary inferred from public pages, such as GPT, Claude, Gemini, or multi-model support.
benchmark_name	object	string	Text column. Benchmark name mentioned in the source when applicable.
benchmark_score_claim	object	long text	Free-text column containing longer text values. Benchmark score or benchmark-oriented claim text when applicable.
capability_tags	object	string	Text column. Pipe-delimited tags associated with the observed signal.
workflow_tags	object	string	Text column. Pipe-delimited workflow tags useful for grouping similar developer workflows.
confidence_score	Int64	integer	Whole-number numeric column. Directional score from 0 to 100 reflecting how directly the source supports the normalized claim.
confidence_level	object	string	Text column. Text bucket derived from the confidence score.
notes	object	string	Text column. Interpretation notes or caveats for the row.
source_excerpt	object	long text	Free-text column containing longer text values. Short excerpt or bullet text used as row-level evidence.
release_or_changelog_date	datetime64[ns]	datetime	Date or timestamp column. Release or changelog date when relevant to the signal row.
recency_days	Int64	integer	Whole-number numeric column. Number of days between the observed date and the source or release date when available.

Intended Use

This dataset is intended for research, experimentation, analysis, and model prototyping.

Loading the Dataset

import os
from datasets import load_dataset

HUGGINGFACE_API_KEY_KARMANE = os.environ.get("HUGGINGFACE_API_KEY_KARMANE")

dataset = load_dataset(
    "Karmane/ai-coding-agent-pricing-and-capability-dataset",
    token=HUGGINGFACE_API_KEY_KARMANE,
)

print(dataset)
print(dataset[list(dataset.keys())[0]][0])

# getting the DataFrame itself
# df = dataset[list(dataset.keys())[0]].to_pandas()

---

Karmane. (2025). AI Coding Agent Pricing and Capability Dataset. Hugging Face. https://huggingface.co/datasets/Karmane/ai-coding-agent-pricing-and-capability-dataset