Peer-to-Peer Marketplace Transaction Logs

This dataset provides detailed event logs from a peer-to-peer digital marketplace, including transaction records, product listings, user profiles, and messaging exchanges. Its comprehensive structure supports e-commerce research, fraud detection, and behavioral analytics by capturing all interactions between buyers, sellers, and listings. The flat schema design ensures ease of integration with analytical tools and machine learning workflows.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Fraud detection and risk analysis in peer-to-peer marketplaces

Sample rows

preview · 8 of 200 rows · all 27 columns
transaction_idstringpayment_methodstringquantityintegeruser_is_verifiedbooleanshipping_citystringtransaction_datetimedatetimebuyer_idstringseller_idstringlisting_idstringlisting_titlestringlisting_categorystringlisting_pricefloattransaction_statusstringshipping_street_addressstringshipping_statestringshipping_postal_codestringshipping_countrystringmessage_idstringmessage_datetimedatetimemessage_sender_idstringmessage_receiver_idstringmessage_contentstringuser_idstringuser_emailstringuser_join_datedatelisting_created_datetimedatetimelisting_statusstring
txn_1000001credit_card1trueNew York2018-11-07T15:13:45user_0010user_0002list_5001Apple MacBook Pro 13in 2017 Open Boxelectronics999.99completed425 Main St.NY10001USAmsg_000012018-11-07T14:55:32user_0010user_0002Hi, is the MacBook still available?user_0010sarah.jackson92@gmail.com2017-02-152018-10-18T09:13:45sold
txn_1000002debit_card1trueChicago2021-05-14T09:23:12user_0003user_0004list_5002Wilson Pro Staff Tennis Racket 2021sports199.99completed87 Elmwood Ave.IL60614USAmsg_000022021-05-14T08:56:01user_0003user_0004Will you ship to my location?user_0003michael.williams@outlook.com2018-09-052021-04-30T11:14:09sold
txn_1000003credit_card1trueLos Angeles2023-07-23T18:44:27user_0012user_0005list_5003Samsung 55in QLED 4K TV 2023 Modelelectronics499.99completed62 Oak St.CA90017USAmsg_000032023-07-23T18:20:00user_0012user_0005Is warranty included?user_0012julia.foster23@yahoo.com2020-03-172023-07-05T14:21:09sold
txn_1000004bank_transfer1trueLondon2015-03-18T13:12:00user_0006user_0007list_5004Vintage Rolex Submariner 1970antiques25000completed14 Regent St.Greater LondonSW1A 2DXUKblankblankblankblankblankuser_0006robert.smith1970@btinternet.co.uk2012-06-212015-02-09T11:40:18sold
txn_1000005debit_card1falseBoston2022-01-28T10:55:19user_0008user_0013list_5005Nike Air Zoom Pegasus 38 Men’sapparel120pending15 College Ave.MA02134USAmsg_000042022-01-28T10:30:12user_0008user_0013Can you confirm my order?user_0008lucas.chan89@gmail.com2019-05-112021-12-30T16:15:00active
txn_1000006paypal1trueParis2020-09-07T17:27:13user_0014user_0009list_5006Antique French Oak Cabinet Circa 1890antiques8999.99completed22 Rue LafayetteÎle-de-France75009Franceblankblankblankblankblankuser_0014claire.moreau@orange.fr2015-04-292020-08-20T13:40:10sold
txn_1000007credit_card1trueToronto2024-04-02T11:28:55user_0015user_0016list_5007Dyson Airwrap Complete Long Editionhome_decor549.99completed90 Queen St.ONM5H 2N2Canadamsg_000052024-04-02T10:50:01user_0015user_0016Can you ship to Canada?user_0015emma.wilson@rogers.ca2021-11-032024-03-11T09:17:39sold
txn_1000008other1falseblank2019-06-18T16:39:41user_0017user_0018list_5008Amazon Gift Card $25 Digital Deliverygift_cards25completedblankblankblankblankmsg_000062019-06-18T16:20:00user_0017user_0018How fast is digital delivery?user_0017daniel.garcia@outlook.com2016-01-162019-06-12T11:39:41sold

What the 200 rows show

from the 200-row sample

Debit_card (payment method) stands out: mean quantity is 2.7, against 1.2 for the rest.

  • 61%user_is_verified = true
  • 1median quantity
  • 4transaction statuses
  • 4listing statuses
  • 9shipping countries
  • 13listing categories
Mean quantity by payment_method200 rows
0241.2credi…59 rows2.7debit…63 rows1.3paypal38 rows1.3bank_…15 rows1.1crypto9 rows1.0other16 rows
quantity200 rows, in bands of 1
07014013932117620031610quantity →

Median 1, from 1 to 10.

shipping_city181 rows with a value · 19 left blank
  1. London16
  2. Toronto14
  3. Sydney14
  4. New York13
  5. Dublin12
  6. San Francisco12
  7. Melbourne11
  8. Auckland10
  9. Paris9
  10. Los Angeles7
27 columns by typefrom the column list below
  • string 20
  • integer 1
  • float 1
  • date 1
  • datetime 3
  • boolean 1

Columns

27 columns in four groups
blueprint · 27 columns
columntypedescriptionexample
Text 20 columns
transaction_idstringUnique identifier for each transaction eventuniquetxn_1000001
buyer_idstringUnique identifier of the buyer in the transactionuser_0010
seller_idstringUnique identifier of the seller in the transactionuser_0002
listing_idstringUnique identifier for the product listing involved in the transactionlist_5001
listing_titlestringTitle or name of the product listingOrganic Catnip Toy Set
listing_categorystringCategory of the product listing (e.g., electronics, apparel)electronics
payment_methodstringPayment method used for the transaction6 valuescredit_card
transaction_statusstringCurrent status of the transaction (e.g., completed, pending, cancelled, refunded)completed · pending · cancelled · refundedcompleted
shipping_street_addressstringStreet address for shipping the purchased itemoptional425 Main St.
shipping_citystringCity for shipping the purchased itemoptionalNew York
shipping_statestringState or province for shipping the purchased itemoptionalNY
shipping_postal_codestringPostal code for shipping the purchased itemoptional10001
shipping_countrystringCountry for shipping the purchased item9 countries · optionalUSA
message_idstringUnique identifier for each message exchanged between buyer and selleroptionalmsg_00001
message_sender_idstringUnique identifier of the user who sent the messageoptionaluser_0010
message_receiver_idstringUnique identifier of the user who received the messageoptionaluser_0002
message_contentstringContent of the message exchanged between usersoptionalIs warranty included?
user_idstringUnique identifier for a marketplace user (buyer or seller)optionaluser_0010
user_emailstringEmail address of the useroptionaljulia.foster23@yahoo.com
listing_statusstringCurrent status of the listing (active, sold, removed, expired)active · sold · removed · expired · optionalsold
Numbers 2 columns
listing_pricefloatPrice of the listing at the time of transaction0 or more999.99
quantityintegerNumber of items purchased in the transaction1 or more1
Dates and times 4 columns
transaction_datetimedatetimeDate and time when the transaction occurred2018-11-07T15:13:45
message_datetimedatetimeDate and time when the message was sentoptional2018-11-07T14:55:32
user_join_datedateDate the user joined the marketplaceoptional2017-02-15
listing_created_datetimedatetimeDate and time when the listing was createdoptional2018-10-18T09:13:45
True or false 1 column
user_is_verifiedbooleanIndicates whether the user is verifiedoptionaltrue

Use it for

  • user is verifi…61%121 of 200 rowsmean quantity by paym…1.2cred…2.7debi…1.3payp…1.3bank…

    An e-commerce dashboard

    The user_is_verified rate, quantity by payment_method and a breakdown of shipping_city. Excel, Power BI or Tableau.

  • Why do the 63 debit_card rows have a mean quantity of 2.7?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable transactions with transaction_datetime, buyer_id and seller_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 27 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows27 columns
Yours1,000 rows27 columnsshipping_street_address: UK only

blueprint · peer-to-peer-marketplace-transaction-logs

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 27 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Transaction type and timestamp
  • Listing category mapping
  • Anonymized user linking
  • Flag dispute or fraud events
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
peer-to-peer-marketplace-transaction-logs

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