REFERENCES

Data Fields

30min

The document below details the various fields that are extracted from the data that Flare collects. These fields can be used with the Lucene Query Syntax.
Example Queries
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Activities that have the domain name acme.com in their title
title:"acme.com"
Listings that have a price between $100 and $200
price:>100 AND price:<200
Retrieve an actor and their publications by their username
author_name:lapifia
Specifying multiple keywords
your_organisation AND fraud
Using time field
metadata.estimated_created_at >= now-1d
Actors from specific threads
_index:forum_topic AND title:actor_name AND keyword
Levels of support
Some documents have three levels of support. Each of them is documented in the following table.
Level
Description
1
Base attributes of the entity. As they are part of the document’s identity, fields on this level have the highest chance to be present.
2
Addition to the level 1 attributes. Fields on this level add more value from an analysis point of view. As they are not part of the document’s minimal identity, they can be omitted in some cases
3
Complementary information. Fields on this level may be unavailable for some sources or unnecessary for basic analysis. Their presence depends on the source.
Common fields
Each document contains a metadata field with subfields describing the origin of the data and some other attributes to diagnose the source of the document. Interesting fields are:
Metadata
Name
Description
_id
Unique ID of the document. Usually composed of the source and an internal ID at the source.
metadata.source
Name of the source or website from which the raw data was downloaded from. Since a site can have multiple domains that change over time, using names such as dream or wall_st is more reliable.
metadata.first_crawled_at
Date the document was first found. Useful for having an approximate date of the creation of a document.
metadata.last_crawled_at
Date the document was last seen. Useful for having an approximate date of deleting a document on a site.
metadata.estimated_created_at
Some documents may have their exact date of creation. This field estimates the creation date using the date provided by the source if possible or metadata.first_crawled_at. This field therefore provides a better accuracy for the creation date than metadata.first_crawled_at.
author_name
Name of the author associated with the document in question. This may be the seller name for a listing, the repository host on GitHub, etc.
Documents also contain a features field with subfields describing extracted keywords that might identify digital identities.
Features
Name
Description
features.urls
List of URLs extracted from the document. This can be URLs from any scheme, including HTTP, FTP, SSH, etc.
features.emails
List of email addresses extracted from the document.
features.domains
List of domains extracted from the document. The list contains every valid variant of a domain, such that a document with the www.flared.io domain to have a list with both www.flared.io and flared.io.
features.reversed_domains
List of domains extracted from the document and the components reversed. A document with www.flared.io will have a list with both io.flared.www and io.flared. This field is useful to index and quickly find documents matching a domain’s subdomains with suffix wildcard query: features.reversed_domains:io.flared.*
features.ip_addresses_cidr
List of IP addresses extracted from the document. Support both IPv4 and IPv6. The field type supports queries with CIDRs such as features.ip_addresses_cidr:127.0.0.0/8.
features.btc_addresses
List of Bitcoin public addresses extracted from the document.
features.cc_numbers
List of potential Credit Card numbers extracted from the document. While the numbers have not been validated, each number matches a known BIN and has a valid Luhn identification number.
Documents
Seller
Seller fields level 1
Name
Description
about
Descriptive or biographical text of the seller.
created_at
Creation date of the seller’s account.
username
Pseudonym of the seller.
Seller fields level 2
Name
Description
﻿feedbacks﻿
List of comments or ratings posted on the seller’s page.
﻿contact_info﻿
Seller’s information.
rating
Rating (out of 5 stars usually) given to the seller.
rating_count
Number of ratings given to the seller.
rating_score
Ratings given to the seller. Usually the sum of positive and negative feedback.
ship_from
Regions from which the seller delivers the goods. Use ship_from_norm for normalized region across data sources.
ship_to
Regions where the seller delivers the goods. Use ship_to_norm for normalized region across data sources.
public_pgp_fingerprint
PGP key impression list associated with the seller.
public_pgp_uid
List of PGP key IDs associated with the seller.
transactions_count
Number of sales made by the seller.
Seller fields level 3
Name
Description
last_7_days_rating
Rating average for the last 7 days given to the seller.
last_7_days_rating_count
Number of ratings given to the seller in the last 7 days.
last_month_rating
Rating average for the last month given to the seller.
last_month_rating_count
Number of ratings given to the seller during the last month.
transactions_amount
Total amount of sales made by the seller in USD.
finalize_early_enabled
Boolean indicating whether the seller requires payments at the time of purchase or via an escrow.
title
Title of the seller on the market. Generally an internal title earned by the experience or reputation of a seller.
last_active_at
Last activity date of the seller.
Listing
Listing fields level 1
Name
Description
title
Ad Title.
description
Description of the ad.
seller_id
Internal ID of the seller.
seller_name
Descriptive name of the seller.
creation_date
Creation date of the ad.
price
Price of the ad in USD.
currency
Price’s currency.
Listing fields level 2
Name
Description
category_id
 Internal ID of the category of the ad. Use category for normalized ID across all data sources.
category_name
Descriptive name of the category of the ad. Use categoy_name_norm for normalized name across all data sources.
ship_to
List of regions where the goods can be delivered. Use ship_to_norm for normalized regions across data sources.
ship_from
Regions from where the goods are shipped. Use ship_from_norm for normalized regions across data sources.
rating
Rating given to the merchandise or the seller.
rating_count
Number of ratings given to the merchandise or the seller.
﻿feedbacks﻿
List of comments or ratings posted on the ad. See below for the fields at Feedback.
sold_count
Number of sales of the ad.
Listing fields level 3
Name
Description
escrow
 Boolean indicating whether the transaction is via an escrow managed by the market platform.
last_7_days_rating
Rating for the last 7 days given to the merchandise or the seller.
last_7_days_rating_count
Number of ratings given to the merchandise or the seller in the last 7 days.
last_month_rating
Rating for the last month given to the merchandise or the seller.
last_month_rating_count
Number of ratings given to the merchandise or the seller in the last month.
﻿Shipping_options﻿
List of shipping options available for the listing.
stock_count
Remaining quantity of the goods.
view_count
Number of times the listing has been seen.
Forum profile
Forum fields level 1
Name
Description
username
Username of the user.
personal_text
Descriptive or biographical text.
registered_at
Approximate date of account registration.
Forum fields level 2
Name
Description
contact_info
Profile’s contact info.
last_posted_at
Approximate date of the last message.
last_active_at
Approximate date of the last connection.
public_pgp_fingerprint
Fingerprint list of the PGP keys associated with the account.
public_pgp_uid
List of PGP key IDs associated with the account. Usually contains a list of email addresses associated with the key.
rating
User rating.
rating_pos
Number of positive ratings given to the user.
rating_neg
Number of negative ratings given to the user.
signature
Signature attached to each user’s message.
Forum fields level 3
Name
Description
age
Age of the user.
avatar
URL to the user’s avatar.
comments_count
Number of comments from the user.
following_category_ids
Categories followed by the user.
following_user_ids
Other users followed by the user.
location
Location of the user. Unlikely to be accurate. Use location_norm for normalized value across data sources.
posts
List of posts left on the user profile by other users. See below for the fields at Forum Post.
posts_count
Number of messages from the user.
realname
Real name of the user. Unlikely to be an actual real name.
timezone_offset
Time zone used by the user.
title
Title of the user (member, moderator, administrator, etc.).
tags
Tags associated with the user.
website
Website URL of the user.
Forum topic
Forum_topic fields level 1
Name
Description
author_id
Internal ID of the original author of the thread.
author_name
Nickname of the original author of the thread.
posted_at
Date of creation of the thread.
title
Title of the thread.
Forum_topic fields level 2
Name
Description
category_id
Internal ID of the thread’s category. Use category_id_norm for normalized value across data sources.
category_name
Name of the thread’s category. Use category_name_norm for normalized value across data sources.
category_path
Internal ID of the thread’s category and parent's categories.
Forum_topic fields level 3
Name
Description
first_post_preview
Preview of the first post content.
last_reply_at
Date of the last reply in the thread.
profile_id
Related profile if the thread is on a profile page.
tags
Tags associated with the thread.
Forum post
Forum_post fields level 1
Name
Description
author_id
Internal ID of the author of the message.
author_name
Nickname of the author of the message.
content
Content of the message.
posted_at
Date of creation of the message.
parent_post_id
Parent post to which this post reply.
topic_id
Internal ID of the thread containing the message.
topic_title
Title of the thread containing the message.
Forum post fields level 2
Name
Description
There are no support level 2 fields for this document.
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Forum_post fields level 3
Name
Description
post_title
Title of the post.
rating_pos
Number of positive ratings given to the user.
Driller
Driller fields
Name
Description
html_url
URL of the original document.
cache_url
Cache URL from Google.
is_dork
Whether the document came from a dork query.
title
Title of the document.
author_id
Internal ID of the author of the message.
author_name
Nickname of the author of the message.
author_email
Email of the author of the message.
created_at
Creation date of the document.
project_name
Project’s name.
content
Content of the document.
size
Size in bytes.
snippets
Snippets of the document.
sha
SHA of the document.
is_truncated
Whether the document is truncated.
host
Host URL of the document (ex: Github.com).
fileype
Type of the file.
filename
Name of the file.
dirpath
Dirpath of the document.
﻿user﻿
Document’s user.
issue
Document’s issue.
﻿project﻿
The project that the document comes from.
﻿commit﻿
Document commit.
code
Extracted code from the document.
Paste
Paste documents are mostly raw data coming from paste sites such as Pastebin.
Paste fields
Name
Description
author_id
Internal ID of the author.
author_name
Username of the author.
content
Raw content of the paste document. Can be truncated if actual content is too large.
expire_at
Expiration date of the paste document. Documents remain in Flare's database even after the expiration date.
is_truncated
Large documents are truncated in Flare's database. If True, content is a truncated version of the actual document.
posted_at
Date the paste document was created.
size
Actual size of the paste document (bytes).
syntax
Document’s syntax defined by the author.
title
Title given to the paste document.
title_en
English title given to the paste document.
Domain
Domain fields
Name
Description
Name
Domain’s name.
registered_at
Certificate registration date.
feed
Certificate Transparency feed name.
identifier_domain
Domain Identifier.
cert_data
Contains details about the issued certificates and the issuers.
subject
Domain SSL certificate’s subject.
issuer
Certificate issuer.
Host
Host fields
Name
Description
vulnerabilities
The name of a vulnerability present on the host. (e.g. CVE-2018-15919)
country_code
The country code of where the IP is located. e.g. country_code:US 
service
Service running on an IP (e.g. http, ssh, ftp, mongodb, elastic, etc).
tags
Other tag that give information about what this IP is doing. Possible values: cloud,cdn,starttls,self-signed,database,vpn,honeypot,iot,devops,videogame,ics,compromised,cryptocurrency,medical,tor, proxy 
Leak
Leak fields
Name
Description
links
[Optional]
name
The email address associated with the leak.
passwords
List of passwords leaked associated with the email.
For each entry in password list
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domain
[Optional] Domain name of breached company.
extra
[Optional] Details on the intrusion method if available.
hash
Clear password or hash.
hash_type
[Optional] Hash function.
id
Unique series of numbers for the leaked credential.
imported_at
Timestamp at which the password was added to our database. This does not correspond to the date at which the password was leaked.
breached_at (under source)
[Optional] Date of the breach (not always available).
description (under source)
Description of the breach in English.
description_fr (under source)
Description of the breach in French.
hash_description (under source)
[Optional] Description of the hash function of the source.
hash_type (under source)
[Optional] Hash function of the source if the leaked passwords are the same type. If not, the hash type will be “none”.
id (under source)
Internal source name and year of breach.
leaked_at (under source)
Date when the data became publicly available.
name (under source)
[Optional] Name of the company that was breached.
related_urls (under source)
[Optional] News articles related to the breach, if available.
url (under source)
[Optional] Breached website URL (original source not always available).
source_id
Internal source name.
source_params - line
Line number where the leaked password was found.
Inner objects
Feedbacks
Feedback are usually posted by buyers of an ad and is an essential part of the black market reputation system.
Feedbacks fields
Name
Description
feedbacks.rated_at
Date of the rating or comment.
feedbacks.rating
Rating given by the buyer.
feedbacks.comment
Comment posted by the buyer.
feedbacks.username
Full or partial pseudonym of the buyer.
feedbacks.purchase_amount
Price of the purchase associated with the comment.
feedbacks.purchase_currency
Currency used by purchase_amount.
feedbacks.author_id
Internal ID of the author.
User
User fields
Name
Description
email
Email.
company
Company.
full_name
Full name.
location
Location.
followers_count
Number of followers.
Contact_info
Contact_info fields
Name
Description
contact_info.fdw_forum
FDW Forum internal id.
contact_info.jabber
Jabber address.
contact_info.email
Email address.
contact_info.skype
Skype username.
contact_info.icq
ICQ.
contact_info.irc
IRC nickname.
contact_info.ricochet
Ricochet.
contact_info.bitmessage
Bitmessage.
contact_info.btc
Bitcoin wallet.
contact_info.telegram
Telegram.
contact_info.discord
Discord.
Shipping_options
Shipping_options options fields
Name
Description
shipping_options.description
Description of the option.
shipping_options.price
Price of the option.
shipping_options.currency
Currency of the price of the option.
Project
Project fields
Name
Description
owner_name
Name of the author.
owner_id
Internal ID of the author.
owner_type
Author’s association with the document.
tags
Associated tags.
last_activity_at
Approximate date of the last activity.
language
Author’s language.
followers_count
Number of followers.
forks_count
Number of forks there are of this repository in the whole network.
is_fork
Identifies if the repository is a fork.
Commit
Commit fields
Name
Description
committer_name
Name of the committer.
committer_id
Internal ID of the committer.
committer_email
Email of the committer.
author_email
Email of the author.
sha
SHA.
Related Articles
Product Specifications
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Fraudster Jargon
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Asset Relations
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Activities that have the domain name acme.com in their title	title:"acme.com"
Listings that have a price between $100 and $200	price:>100 AND price:<200
Retrieve an actor and their publications by their username	author_name:lapifia
Specifying multiple keywords	your_organisation AND fraud
Using time field	metadata.estimated_created_at >= now-1d
Actors from specific threads	_index:forum_topic AND title:actor_name AND keyword

Level	Description
1	Base attributes of the entity. As they are part of the document’s identity, fields on this level have the highest chance to be present.
2	Addition to the level 1 attributes. Fields on this level add more value from an analysis point of view. As they are not part of the document’s minimal identity, they can be omitted in some cases
3	Complementary information. Fields on this level may be unavailable for some sources or unnecessary for basic analysis. Their presence depends on the source.

Name	Description
_id	Unique ID of the document. Usually composed of the source and an internal ID at the source.
metadata.source	Name of the source or website from which the raw data was downloaded from. Since a site can have multiple domains that change over time, using names such as dream or wall_st is more reliable.
metadata.first_crawled_at	Date the document was first found. Useful for having an approximate date of the creation of a document.
metadata.last_crawled_at	Date the document was last seen. Useful for having an approximate date of deleting a document on a site.
metadata.estimated_created_at	Some documents may have their exact date of creation. This field estimates the creation date using the date provided by the source if possible or metadata.first_crawled_at. This field therefore provides a better accuracy for the creation date than metadata.first_crawled_at.
author_name	Name of the author associated with the document in question. This may be the seller name for a listing, the repository host on GitHub, etc.

Name	Description
features.urls	List of URLs extracted from the document. This can be URLs from any scheme, including HTTP, FTP, SSH, etc.
features.emails	List of email addresses extracted from the document.
features.domains	List of domains extracted from the document. The list contains every valid variant of a domain, such that a document with the www.flared.io domain to have a list with both www.flared.io and flared.io.
features.reversed_domains	List of domains extracted from the document and the components reversed. A document with www.flared.io will have a list with both io.flared.www and io.flared. This field is useful to index and quickly find documents matching a domain’s subdomains with suffix wildcard query: features.reversed_domains:io.flared.*
features.ip_addresses_cidr	List of IP addresses extracted from the document. Support both IPv4 and IPv6. The field type supports queries with CIDRs such as features.ip_addresses_cidr:127.0.0.0/8.
features.btc_addresses	List of Bitcoin public addresses extracted from the document.
features.cc_numbers	List of potential Credit Card numbers extracted from the document. While the numbers have not been validated, each number matches a known BIN and has a valid Luhn identification number.

Name	Description
about	Descriptive or biographical text of the seller.
created_at	Creation date of the seller’s account.
username	Pseudonym of the seller.

Name	Description
feedbacks	List of comments or ratings posted on the seller’s page.
contact_info	Seller’s information.
rating	Rating (out of 5 stars usually) given to the seller.
rating_count	Number of ratings given to the seller.
rating_score	Ratings given to the seller. Usually the sum of positive and negative feedback.
ship_from	Regions from which the seller delivers the goods. Use ship_from_norm for normalized region across data sources.
ship_to	Regions where the seller delivers the goods. Use ship_to_norm for normalized region across data sources.
public_pgp_fingerprint	PGP key impression list associated with the seller.
public_pgp_uid	List of PGP key IDs associated with the seller.
transactions_count	Number of sales made by the seller.

Name	Description
last_7_days_rating	Rating average for the last 7 days given to the seller.
last_7_days_rating_count	Number of ratings given to the seller in the last 7 days.
last_month_rating	Rating average for the last month given to the seller.
last_month_rating_count	Number of ratings given to the seller during the last month.
transactions_amount	Total amount of sales made by the seller in USD.
finalize_early_enabled	Boolean indicating whether the seller requires payments at the time of purchase or via an escrow.
title	Title of the seller on the market. Generally an internal title earned by the experience or reputation of a seller.
last_active_at	Last activity date of the seller.

Name	Description
title	Ad Title.
description	Description of the ad.
seller_id	Internal ID of the seller.
seller_name	Descriptive name of the seller.
creation_date	Creation date of the ad.
price	Price of the ad in USD.
currency	Price’s currency.

Name	Description
category_id	Internal ID of the category of the ad. Use category for normalized ID across all data sources.
category_name	Descriptive name of the category of the ad. Use categoy_name_norm for normalized name across all data sources.
ship_to	List of regions where the goods can be delivered. Use ship_to_norm for normalized regions across data sources.
ship_from	Regions from where the goods are shipped. Use ship_from_norm for normalized regions across data sources.
rating	Rating given to the merchandise or the seller.
rating_count	Number of ratings given to the merchandise or the seller.
feedbacks	List of comments or ratings posted on the ad. See below for the fields at Feedback.
sold_count	Number of sales of the ad.

Name	Description
escrow	Boolean indicating whether the transaction is via an escrow managed by the market platform.
last_7_days_rating	Rating for the last 7 days given to the merchandise or the seller.
last_7_days_rating_count	Number of ratings given to the merchandise or the seller in the last 7 days.
last_month_rating	Rating for the last month given to the merchandise or the seller.
last_month_rating_count	Number of ratings given to the merchandise or the seller in the last month.
Shipping_options	List of shipping options available for the listing.
stock_count	Remaining quantity of the goods.
view_count	Number of times the listing has been seen.

Name	Description
username	Username of the user.
personal_text	Descriptive or biographical text.
registered_at	Approximate date of account registration.

Name	Description
contact_info	Profile’s contact info.
last_posted_at	Approximate date of the last message.
last_active_at	Approximate date of the last connection.
public_pgp_fingerprint	Fingerprint list of the PGP keys associated with the account.
public_pgp_uid	List of PGP key IDs associated with the account. Usually contains a list of email addresses associated with the key.
rating	User rating.
rating_pos	Number of positive ratings given to the user.
rating_neg	Number of negative ratings given to the user.
signature	Signature attached to each user’s message.

Name	Description
age	Age of the user.
avatar	URL to the user’s avatar.
comments_count	Number of comments from the user.
following_category_ids	Categories followed by the user.
following_user_ids	Other users followed by the user.
location	Location of the user. Unlikely to be accurate. Use location_norm for normalized value across data sources.
posts	List of posts left on the user profile by other users. See below for the fields at Forum Post.
posts_count	Number of messages from the user.
realname	Real name of the user. Unlikely to be an actual real name.
timezone_offset	Time zone used by the user.
title	Title of the user (member, moderator, administrator, etc.).
tags	Tags associated with the user.
website	Website URL of the user.

Name	Description
author_id	Internal ID of the original author of the thread.
author_name	Nickname of the original author of the thread.
posted_at	Date of creation of the thread.
title	Title of the thread.

Name	Description
category_id	Internal ID of the thread’s category. Use category_id_norm for normalized value across data sources.
category_name	Name of the thread’s category. Use category_name_norm for normalized value across data sources.
category_path	Internal ID of the thread’s category and parent's categories.

Name	Description
first_post_preview	Preview of the first post content.
last_reply_at	Date of the last reply in the thread.
profile_id	Related profile if the thread is on a profile page.
tags	Tags associated with the thread.

Name	Description
author_id	Internal ID of the author of the message.
author_name	Nickname of the author of the message.
content	Content of the message.
posted_at	Date of creation of the message.
parent_post_id	Parent post to which this post reply.
topic_id	Internal ID of the thread containing the message.
topic_title	Title of the thread containing the message.

Name	Description
There are no support level 2 fields for this document.

Name	Description
post_title	Title of the post.
rating_pos	Number of positive ratings given to the user.

Name	Description
html_url	URL of the original document.
cache_url	Cache URL from Google.
is_dork	Whether the document came from a dork query.
title	Title of the document.
author_id	Internal ID of the author of the message.
author_name	Nickname of the author of the message.
author_email	Email of the author of the message.
created_at	Creation date of the document.
project_name	Project’s name.
content	Content of the document.
size	Size in bytes.
snippets	Snippets of the document.
sha	SHA of the document.
is_truncated	Whether the document is truncated.
host	Host URL of the document (ex: Github.com).
fileype	Type of the file.
filename	Name of the file.
dirpath	Dirpath of the document.
user	Document’s user.
issue	Document’s issue.
project	The project that the document comes from.
commit	Document commit.
code	Extracted code from the document.

Name	Description
author_id	Internal ID of the author.
author_name	Username of the author.
content	Raw content of the paste document. Can be truncated if actual content is too large.
expire_at	Expiration date of the paste document. Documents remain in Flare's database even after the expiration date.
is_truncated	Large documents are truncated in Flare's database. If True, content is a truncated version of the actual document.
posted_at	Date the paste document was created.
size	Actual size of the paste document (bytes).
syntax	Document’s syntax defined by the author.
title	Title given to the paste document.
title_en	English title given to the paste document.

Name	Description
Name	Domain’s name.
registered_at	Certificate registration date.
feed	Certificate Transparency feed name.
identifier_domain	Domain Identifier.
cert_data	Contains details about the issued certificates and the issuers.
subject	Domain SSL certificate’s subject.
issuer	Certificate issuer.

Name	Description
vulnerabilities	The name of a vulnerability present on the host. (e.g. CVE-2018-15919)
country_code	The country code of where the IP is located. e.g. country_code:US
service	Service running on an IP (e.g. http, ssh, ftp, mongodb, elastic, etc).
tags	Other tag that give information about what this IP is doing. Possible values: cloud,cdn,starttls,self-signed,database,vpn,honeypot,iot,devops,videogame,ics,compromised,cryptocurrency,medical,tor, proxy

Name	Description
links	[Optional]
name	The email address associated with the leak.
passwords	List of passwords leaked associated with the email.
For each entry in password list
domain	[Optional] Domain name of breached company.
extra	[Optional] Details on the intrusion method if available.
hash	Clear password or hash.
hash_type	[Optional] Hash function.
id	Unique series of numbers for the leaked credential.
imported_at	Timestamp at which the password was added to our database. This does not correspond to the date at which the password was leaked.
breached_at (under source)	[Optional] Date of the breach (not always available).
description (under source)	Description of the breach in English.
description_fr (under source)	Description of the breach in French.
hash_description (under source)	[Optional] Description of the hash function of the source.
hash_type (under source)	[Optional] Hash function of the source if the leaked passwords are the same type. If not, the hash type will be “none”.
id (under source)	Internal source name and year of breach.
leaked_at (under source)	Date when the data became publicly available.
name (under source)	[Optional] Name of the company that was breached.
related_urls (under source)	[Optional] News articles related to the breach, if available.
url (under source)	[Optional] Breached website URL (original source not always available).
source_id	Internal source name.
source_params - line	Line number where the leaked password was found.

Name	Description
feedbacks.rated_at	Date of the rating or comment.
feedbacks.rating	Rating given by the buyer.
feedbacks.comment	Comment posted by the buyer.
feedbacks.username	Full or partial pseudonym of the buyer.
feedbacks.purchase_amount	Price of the purchase associated with the comment.
feedbacks.purchase_currency	Currency used by purchase_amount.
feedbacks.author_id	Internal ID of the author.

Name	Description
email	Email.
company	Company.
full_name	Full name.
location	Location.
followers_count	Number of followers.

Name	Description
contact_info.fdw_forum	FDW Forum internal id.
contact_info.jabber	Jabber address.
contact_info.email	Email address.
contact_info.skype	Skype username.
contact_info.icq	ICQ.
contact_info.irc	IRC nickname.
contact_info.ricochet	Ricochet.
contact_info.bitmessage	Bitmessage.
contact_info.btc	Bitcoin wallet.
contact_info.telegram	Telegram.
contact_info.discord	Discord.

Name	Description
shipping_options.description	Description of the option.
shipping_options.price	Price of the option.
shipping_options.currency	Currency of the price of the option.

Name	Description
owner_name	Name of the author.
owner_id	Internal ID of the author.
owner_type	Author’s association with the document.
tags	Associated tags.
last_activity_at	Approximate date of the last activity.
language	Author’s language.
followers_count	Number of followers.
forks_count	Number of forks there are of this repository in the whole network.
is_fork	Identifies if the repository is a fork.

Name	Description
committer_name	Name of the committer.
committer_id	Internal ID of the committer.
committer_email	Email of the committer.
author_email	Email of the author.
sha	SHA.

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Fraudster Jargon

Asset Relations