README.md

metadata

license: cc-by-4.0
task_categories:
  - tabular-to-text
  - time-series-forecasting
language:
  - en
  - zh
tags:
  - pricing
  - saas-pricing
  - ai-pricing
  - llm-pricing
  - competitive-intelligence
  - time-series
size_categories:
  - 10K<n<100K
multilinguality:
  - multilingual

PriceTrail / 价迹 — AI & SaaS Pricing Dataset (derived layer)

EN. A continuously-updated open dataset of AI / SaaS pricing snapshots and pricing-change timelines. Each row in data/price_cards.jsonl is a structured pricing observation (tool, vendor, tier, price, billing cycle, source, capture time); each row in data/price_changes.jsonl is a detected pricing change event between two snapshots (price up/down, tier added/removed, free-tier cut, billing cycle change, ...). The dataset is regenerated from live pricing pages on a fixed cadence, so it doubles as a pricing time-series for competitive intelligence, procurement, VC research, and model training.

中文. 一份持续更新的开源「AI / SaaS 定价」数据集，包含定价快照卡与定价变更时间线。 data/price_cards.jsonl 每行是一条结构化定价观测（工具、厂商、档位、价格、计费周期、 来源、抓取时间）；data/price_changes.jsonl 每行是两次快照之间检测到的定价变更事件 （涨价 / 降价 / 新增档位 / 下架档位 / 取消免费档 / 计费周期变更 …）。数据集按固定节奏从 真实定价页重新生成，天然是一份「定价时间序列」，可用于竞品情报、采购、VC 研究与模型训练。

Freshness / 新鲜度: regenerated on every run (default cadence: every 12h); the dataset always reflects the most recent observed pricing.

License / 许可

• The derived pricing observations (structured price points, change events, provenance) are released under CC-BY 4.0 — see LICENSE.
• Source pricing pages retain their own terms; attribution to each source is preserved via source_url.

Non-affiliation / 非附属声明

This dataset is independent and not affiliated with, endorsed by, or sponsored by any vendor, product, or service named within it. All product names, logos, and trademarks are the property of their respective owners and are used here only to identify the pricing subject of each observation. Prices are observed facts redistributed under CC-BY 4.0; this dataset makes no claim of partnership with any company.

Coverage honesty / 覆盖诚实声明

This release covers the publicly-parseable pricing pages that the PriceTrail pipeline can fetch and parse (AI / SaaS / DevOps / collaboration tools, etc.). A number of vendors gate their pricing pages behind bots / login walls (e.g. some LLM providers and design suites); those are not yet in this dataset and are explicitly excluded — this dataset does not claim full vendor coverage. See the per-run source list for the exact coverage of this build.

Fields / 字段

price_card (13 fields): id, tool, vendor, tier, price, currency, billing_cycle, effective_date, source_url, snapshot_ref, captured_at, lang, category. See schema.json → definitions.PriceCard. An optional category groups tools by type (e.g. agent for AI-agent apps such as Cursor / WorkBuddy / Coze); rows without a category are omitted (legacy sources).

price_change (8 fields): id, tool, change_type, before, after, detected_at, evidence_snapshot_before, evidence_snapshot_after. See schema.json → definitions.PriceChange.

change_type vocabulary:

• new
• price_up
• price_down
• free_tier_cut
• feature_cut
• tier_added
• tier_removed
• cycle_change

Load / 加载示例

from datasets import load_dataset
cards = load_dataset("Myco-Net/pricetra-pricing", data_files="data/price_cards.jsonl")["train"]
changes = load_dataset("Myco-Net/pricetra-pricing", data_files="data/price_changes.jsonl")["train"]

Stats / 本版统计

• price_card rows: 32928
• price_change rows: 13