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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
tool: string
change_type: string
before: struct<tier: string, price: int64, currency: string, billing_cycle: string>
  child 0, tier: string
  child 1, price: int64
  child 2, currency: string
  child 3, billing_cycle: string
after: struct<tier: string, price: int64, currency: string, billing_cycle: string>
  child 0, tier: string
  child 1, price: int64
  child 2, currency: string
  child 3, billing_cycle: string
detected_at: string
evidence_snapshot_before: string
evidence_snapshot_after: string
lang: string
captured_at: string
category: string
snapshot_ref: string
tier: string
billing_cycle: string
source_url: string
effective_date: null
currency: string
vendor: string
price: double
to
{'id': Value('string'), 'tool': Value('string'), 'vendor': Value('string'), 'tier': Value('string'), 'price': Value('float64'), 'currency': Value('string'), 'billing_cycle': Value('string'), 'effective_date': Value('null'), 'source_url': Value('string'), 'snapshot_ref': Value('string'), 'captured_at': Value('string'), 'lang': Value('string'), 'category': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              tool: string
              change_type: string
              before: struct<tier: string, price: int64, currency: string, billing_cycle: string>
                child 0, tier: string
                child 1, price: int64
                child 2, currency: string
                child 3, billing_cycle: string
              after: struct<tier: string, price: int64, currency: string, billing_cycle: string>
                child 0, tier: string
                child 1, price: int64
                child 2, currency: string
                child 3, billing_cycle: string
              detected_at: string
              evidence_snapshot_before: string
              evidence_snapshot_after: string
              lang: string
              captured_at: string
              category: string
              snapshot_ref: string
              tier: string
              billing_cycle: string
              source_url: string
              effective_date: null
              currency: string
              vendor: string
              price: double
              to
              {'id': Value('string'), 'tool': Value('string'), 'vendor': Value('string'), 'tier': Value('string'), 'price': Value('float64'), 'currency': Value('string'), 'billing_cycle': Value('string'), 'effective_date': Value('null'), 'source_url': Value('string'), 'snapshot_ref': Value('string'), 'captured_at': Value('string'), 'lang': Value('string'), 'category': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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id
string
tool
string
vendor
string
tier
string
price
float64
currency
string
billing_cycle
string
effective_date
null
source_url
string
snapshot_ref
string
captured_at
string
lang
string
category
string
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End of preview.

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.jsondefinitions.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.jsondefinitions.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: 29598
  • price_change rows: 13
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