buyselltext.com
Aug 10, 2026
Full database dump of BuySellText (buyselltext.com), a content marketplace connecting buyers and writers. The breach includes user accounts, orders, payments (PayPal and Stripe), articles, assignments, sessions, sign-in histories, referral codes, team data, and extensive platform configuration data. Data spans from approximately 2018 through early 2023.
Data found in this dataset
Source files
Expand any file to inspect its column headers and the LLM's field-mapping reasoning, recorded during ingestion.
buyselltext.com__buyselltext__additional_service_article.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: All columns are internal IDs, numeric amounts, timestamps, or flags. No PII fields are present in this structured dataset.
buyselltext.com__buyselltext__additional_service_quality_rates.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only internal configuration data for service qualities and rates. No PII fields are present. Columns map to service IDs, quality levels, pricing, and timestamps — all internal business data.
buyselltext.com__buyselltext__additional_services.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains product/service configuration data for BuySellText, not user PII. Columns represent order types, pricing flags, availability, timestamps, etc. No PII fields detected.
buyselltext.com__buyselltext__article_morph_settings.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: The file contains structured data with columns: id, article_id, entity_id, entity_type, value, url, frequency, created_at, updated_at. However, none of these columns map to PII fields based on the available field types and exclusion rules. The 'value' and 'url' fields contain product names, brands, and URLs — not personal data. Timestamps (created_at, updated_at) are excluded per rules. No identifiable personal information is present in the first 50 rows.
buyselltext.com__buyselltext__article_settings.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only internal configuration or metadata records (id, type, option, timestamps). No PII fields are present. All columns are internal identifiers, types, or timestamps and are mapped to 'skip' per exclusion rules.
buyselltext.com__buyselltext__article_user.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns detected. All fields are internal identifiers (user_id, article_id), numeric ratings, free-text feedback, and timestamps. No names, emails, addresses, phones, DOB, SSN, passwords, or usernames present in the sample.
buyselltext.com__buyselltext__articles.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: All columns are internal IDs, transaction data, timestamps, or metadata. No PII fields detected. Columns like 'id', 'order_id', 'created_at', 'completed_at' are all internal system identifiers or timestamps — explicitly excluded per rules. No emails, names, addresses, phones, DOB, SSN, or passwords present.
buyselltext.com__buyselltext__as_time_slots.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only internal IDs, timestamps, and non-PII administrative data. No columns map to PII fields. All columns are internal system fields (ids, flags, timestamps) and must be skipped per exclusion rules.
buyselltext.com__buyselltext__assignments.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns found. The dataset appears to be article metadata with titles, bodies, and status fields. No personal information such as names, emails, or addresses is present in the sample rows.
buyselltext.com__buyselltext__blogs.csv2 columns173 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
| Source column | Mapped field | Confidence | LLM assessment |
|---|---|---|---|
| 3 | username | high | [3] header 'username', values are alphanumeric handles |
| 4 | password | high | [4] header 'password', values are encrypted strings |
Notes: Only username and password fields contain PII. All other columns (id, user_id, type, blog_url, created_at, updated_at) are internal IDs, flags, or timestamps and must be skipped per rules.
buyselltext.com__buyselltext__bonus_user.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns detected. All columns (user_id, bonus_id, is_included, created_at, updated_at) are internal IDs, flags, or timestamps and must be skipped per exclusion rules.
buyselltext.com__buyselltext__bonuses.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only internal financial/account management data (deposit amounts, bonuses, timestamps, status flags). No PII fields are present. All columns are internal IDs, amounts, status flags, or timestamps, which must be skipped per the exclusion rules.
buyselltext.com__buyselltext__categories.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: All columns are internal configuration or status flags (id, reference_id, title, slug, word counts, disabled/default flags, timestamps). No PII present. 'title' contains content categories not honorifics, and all timestamps are non-DOB. Per exclusion rules, all columns are skip.
buyselltext.com__buyselltext__countries.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This is a static country code reference table with no PII fields. Contains country codes, names, and phone prefixes only.
buyselltext.com__buyselltext__deposits.csv1 column9,948 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
| Source column | Mapped field | Confidence | LLM assessment |
|---|---|---|---|
| 15 | high | [15] header 'paypal_email', values contain '@' and valid email domains |
Notes: Only paypal_email column contains PII (email). All other columns are internal IDs, financial data, timestamps, flags, or IP addresses which must be skipped per rules. No names, addresses, phones, DOB, or SSN appear in this dataset.
buyselltext.com__buyselltext__faqs.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns present. This is a FAQ table with static help articles, not user account data. All values are generic service policy explanations. No emails, names, addresses, or other PII appear in any column.
buyselltext.com__buyselltext__image_counts.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file appears to be a system metadata table with internal IDs and timestamps. All columns are non-PII internal identifiers, flags, or timestamps. No PII fields are present. Columns: id (internal ID), count (likely internal counter), label (internal code), is_disabled (flag), created_at (timestamp), updated_at (timestamp), deleted_at (timestamp).
buyselltext.com__buyselltext__jobs.csv0 rows
File structure
Notes: The file is a structured CSV, but the first 50 rows contain no PII. The rows appear to be queue job metadata from a Laravel application, with serialized objects and UUIDs that do not map to any PII fields. No identifiable personal data is present in this sample.
buyselltext.com__buyselltext__keyword_usages.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only internal IDs, usage counters, and timestamps. No PII fields are present. Columns like 'id', 'usage', 'min_word', 'max_word', 'is_disabled', 'created_at', and 'updated_at' are all internal system data or non-PII metadata. No emails, names, addresses, or other personal data appear in the sample.
buyselltext.com__buyselltext__migrations.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: File appears to be a migration script log with no PII. Columns contain migration IDs, timestamps, and SQL operation descriptions. No personal data fields detected.
buyselltext.com__buyselltext__news.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This is a structured CSV with columns: id, title, description, is_disabled, created_at, updated_at. None of these columns contain PII. The data consists of system notifications and announcements with no personal identifiers.
buyselltext.com__buyselltext__niches.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only category titles and flags. No PII fields present. Columns are static category identifiers and status flags, all excluded by the rules.
buyselltext.com__buyselltext__notification_views.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns detected. The file contains only internal IDs (id, news_id, user_id) and timestamps (created_at, updated_at), all of which must be skipped per exclusion rules. There are no email addresses, phone numbers, names, addresses, DOB, SSN, passwords, usernames, gender, suffix, or Facebook IDs present.
buyselltext.com__buyselltext__notifications.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This is a notification log table with no PII. Columns include notification IDs, sender/receiver IDs (internal numeric references), entity types (orders/articles), timestamps, and status flags. No emails, names, addresses, or other PII are present. All columns are internal system identifiers or timestamps — safely skipped per exclusion rules.
buyselltext.com__buyselltext__order_gcs.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII fields detected in this structured CSV file. The dataset appears to contain only internal identifiers (id, order_id, entity_id, entity_type) and timestamps (created_at, updated_at). All columns fall under the exclusion rules for internal IDs and timestamps, containing no personal or sensitive data.
buyselltext.com__buyselltext__order_settings.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file appears to be a configuration or settings dump, not user data. All columns represent internal system options (e.g., SEO settings) and timestamps, with no PII present. Columns like 'id', 'type', 'option', 'created_at', and 'updated_at' are internal metadata and do not contain any personal information.
buyselltext.com__buyselltext__orders.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns detected. All columns are internal IDs, project metadata, financial/transactional data, timestamps, and status flags. None contain personal information such as names, emails, addresses, or other PII fields.
buyselltext.com__buyselltext__paypal_payments.csv1 column9,947 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
| Source column | Mapped field | Confidence | LLM assessment |
|---|---|---|---|
| 10 | high | unlabeled column — sampled values parse as email addresses |
Notes: Heuristic auto-detection: header-named PII columns confirmed by data conformance
buyselltext.com__buyselltext__preset_template_categories.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only internal metadata about template categories (IDs, titles, counts, ordering, status flags, timestamps). No personal user data or PII fields are present. All columns are internal identifiers, configuration flags, or timestamps — these are skipped per exclusion rules.
buyselltext.com__buyselltext__preset_templates.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: All columns are internal identifiers, template metadata, or timestamps. No PII present. 'creator' column lacks sample values to assess, but based on context likely maps to internal user IDs or usernames not containing direct PII.
buyselltext.com__buyselltext__qualities.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns present. This appears to be a reference table of product/service tiers (1-3 star ratings) with pricing and status flags. All columns are internal configuration data (ids, titles, rates, flags, timestamps) and contain no personal information.
buyselltext.com__buyselltext__quality_features.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This is a structured CSV file but contains only product/service feature metadata (IDs, feature descriptions, flags, timestamps). No personal identifiable information (PII) is present in any column. All columns are internal identifiers, status flags, or timestamps which must be skipped per exclusion rules.
buyselltext.com__buyselltext__rates.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only internal category/quality identifiers and timestamps. No PII fields are present. All columns map to internal business data (category_id, quality_id, rate, sample, created_at, updated_at) and are excluded by the mandatory skip rules for company/business-related fields and timestamps.
buyselltext.com__buyselltext__referral_codes.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This is a coupon codes table with no PII. Columns are: id (numeric ID), code (coupon code string), discount (numeric), limit (numeric), is_disabled (flag), created_at, updated_at, deleted_at (all timestamps). No names, emails, addresses, or other PII present.
buyselltext.com__buyselltext__revisions.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII fields detected. All columns are internal IDs (id, article_id, user_id), free-text comments, status flags, and timestamps. No emails, names, addresses, phones, or other PII appear in the sample. This aligns with the breach description — this file appears to be comment/revision logs rather than user account data.
buyselltext.com__buyselltext__service_upsell_discounts.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This is a product/pricing table with no personal or identifiable information. All columns are internal identifiers, numeric codes, pricing data, and timestamps — none map to PII fields. The breach context (BuySellText marketplace) confirms this is configuration data, not user accounts or content.
buyselltext.com__buyselltext__sessions.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file appears to be structured, but the columns visible in the sample (id, user_id, ip_address, user_agent, payload, last_activity) do not contain any identifiable PII fields. The 'payload' field contains JSON data, but based on the sample, it seems to contain session tokens and other non-PII data. No email, phone, name, address, DOB, SSN, password, or username fields are visible in the provided sample.
buyselltext.com__buyselltext__signin_histories.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns present. All columns are internal IDs, timestamps, flags, or network data (ip_address). The 'description' column contains only the string 'sign_in' or 'sign_out', which is not PII. No emails, names, addresses, DOBs, or other personal identifiers are present in the first 50 rows.
buyselltext.com__buyselltext__spreadsheet_order_files.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: All columns appear to be internal identifiers and session IDs. No PII detected in the first 50 rows. The values are alphanumeric strings that look like hashes or tokens, not personal information. Given the context of a platform breach, these likely represent session identifiers or internal reference codes rather than exposed PII.
buyselltext.com__buyselltext__states.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only country/region identifiers (names and numeric IDs). No PII fields are present. The data appears to be a list of geographic locations used for reference or lookup purposes, not user personal data.
buyselltext.com__buyselltext__stripe_payments.csv1 column6,172 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
| Source column | Mapped field | Confidence | LLM assessment |
|---|---|---|---|
| 12 | high | unlabeled column — sampled values parse as email addresses |
Notes: Heuristic auto-detection: header-named PII columns confirmed by data conformance
buyselltext.com__buyselltext__tallies.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: The provided data is purely transactional, containing only IDs, monetary values, timestamps, and model references. There are no personal identifiable information (PII) fields present in this dataset.
buyselltext.com__buyselltext__team_balances.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This is a financial ledger table with no PII. Columns represent transaction IDs, amounts, timestamps, and entity references. All columns are internal IDs, numeric values, flags, or timestamps — none contain personal information.
buyselltext.com__buyselltext__teams.csv1 column13,139 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
| Source column | Mapped field | Confidence | LLM assessment |
|---|---|---|---|
| 3 | fullName | high | [3] header 'name', values appear to be team names with possessive form indicating personal ownership |
Notes: Only column 3 maps to PII (fullName) based on header 'name' and values showing personal possessive team names. All other columns are internal IDs (skip), balance amounts (skip), or timestamps (skip).
buyselltext.com__buyselltext__user_discounts.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only internal IDs, timestamps, and type identifiers. No PII fields are present. Columns: id (internal ID), user_id (internal ID), discountable_id (internal ID), discountable_type (string), created_at (timestamp), updated_at (timestamp). All columns are excluded by the rules for internal IDs and timestamps.
buyselltext.com__buyselltext__user_emails.csv1 column15 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
| Source column | Mapped field | Confidence | LLM assessment |
|---|---|---|---|
| 2 | high | header "email" resolves to PII field "email" |
Notes: Heuristic auto-detection: header-named PII columns confirmed by data conformance
buyselltext.com__buyselltext__user_metas.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII detected in the first 50 rows. All columns either contain internal IDs, timestamps, or JSON-encoded flags (no personal data). The data appears to be system metadata rather than user PII.
buyselltext.com__buyselltext__user_writer.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only internal IDs and flags. Columns user_id and writer_id are numeric identifiers (not usernames). All other columns are flags (block, favourite) or timestamps (created_at, updated_at), which are explicitly excluded per rules. No PII fields present.
buyselltext.com__buyselltext__users.csv5 columns13,137 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
| Source column | Mapped field | Confidence | LLM assessment |
|---|---|---|---|
| 2 | high | header "email" resolves to PII field "email" | |
| 5 | password | high | header "password" resolves to PII field "password" |
| 12 | city | high | header "city" resolves to PII field "city" |
| 14 | address1 | high | header "street_address" resolves to PII field "address1" |
| 15 | zip | high | header "zip_code" resolves to PII field "zip" |
Notes: Heuristic auto-detection: header-named PII columns confirmed by data conformance
buyselltext.com__buyselltext__weekly_availabilities.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: The provided data is purely transactional with no PII fields present. Columns 'id' and 'writer_id' are internal identifiers, and 'week_day' contains only dates without names or other personal identifiers. No email, phone, name, address, DOB, SSN, password, or username fields are present.
buyselltext.com__buyselltext__word_counts.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: All columns are internal IDs, counters, flags, and timestamps. No PII present in this structured dataset. Columns like 'count' are numeric counters, 'is_disabled' is a flag, and timestamps are internal metadata. No emails, names, addresses, or other PII fields detected.
buyselltext.com__buyselltext__wordpress_publishings.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns found. All columns are internal IDs, article metadata, scheduling settings, timestamps, and error messages. 'author' column appears to be a placeholder or null value in the sample, not actual names.
buyselltext.com__buyselltext__writer_addons.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns present. The dataset contains only internal IDs (writer_id), quality codes (quality_id), and service names (addon_service) alongside timestamps (created_at, updated_at). No personal identifiers, contact information, or sensitive data are included.
buyselltext.com__buyselltext__writer_blocked_qualities.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: All columns are internal IDs (numeric/auto-generated identifiers) or timestamps. No PII fields detected in the first 50 rows.
buyselltext.com__buyselltext__writer_niches.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: This file contains only internal IDs and flags (id, writer_id, niche_id, interested, expertise) with timestamps. No PII fields are present in the first 50 rows.
buyselltext.com__buyselltext__writer_services.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns detected. All columns appear to be internal identifiers (writer_id, category_id, quality_id) and timestamps (created_at, updated_at). These are typical database keys and audit fields, not containing personal information.
buyselltext.com__buyselltext__writers.csv3 columns815 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
| Source column | Mapped field | Confidence | LLM assessment |
|---|---|---|---|
| 2 | lastName | high | header "last_name" resolves to PII field "lastName" |
| 3 | high | header "email" resolves to PII field "email" | |
| 4 | fullName | high | header "display_name" resolves to PII field "fullName" |
Notes: Heuristic auto-detection: header-named PII columns confirmed by data conformance
buyselltext.com__deposits.csv1 column9,948 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
| Source column | Mapped field | Confidence | LLM assessment |
|---|---|---|---|
| 15 | high | [15] header 'paypal_email', values contain '@' and valid domain structure |
Notes: Only one PII column (paypal_email) contains valid email addresses. All other columns are internal IDs, financial data, IP addresses, or flags that must be skipped per exclusion rules.
buyselltext.com__orders_1_.csv0 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
Notes: No PII columns present. All columns are internal IDs, project metadata, financial amounts, status flags, and configuration data. No emails, names, addresses, phone numbers, or other personal identifiers are exposed in this dataset.
buyselltext.com__users.csv5 columns13,137 rows
File structure
Format: CSV·Delimiter: Comma·Has header: yes·Quote: "
| Source column | Mapped field | Confidence | LLM assessment |
|---|---|---|---|
| 2 | high | header "email" resolves to PII field "email" | |
| 5 | password | high | header "password" resolves to PII field "password" |
| 12 | city | high | header "city" resolves to PII field "city" |
| 14 | address1 | high | header "street_address" resolves to PII field "address1" |
| 15 | zip | high | header "zip_code" resolves to PII field "zip" |
Notes: Heuristic auto-detection: header-named PII columns confirmed by data conformance