Large Database Leaks and more, Only Escrow

[CrypterBTC]

Hello,
I am VERY VERY sorry of the rules do not allow this please forgive me but i am new to this forum and wanted to show this
I can leak ANYTHING needed, make ANY custom malware, proof of everything is below i hve nearly 2 million usa health life insurance and many more records my biggest 1.6m record one also contains ssn. please look into them. can i please have somme information like will i have to deposite some btc to be pinned or have a seller tag ? with all this proof can please have them ? I had attucally put a very advacned crypto wallet stealer FUD and got low veiws and low exposure i can and will provide a lot of value to this forum for free and even as a seller so if i could get that tag i attucally have a lot more tools leaks banking trojans and more these aere only some examples i havve way more advacned stuff thank you so much and thank you for your time or readingt this !
ps : i also have from what ik from my source 88+22 million records from - a private company that contracts with police and federal agencies acorss the united states of america the company is basiaclly a search tool for officers and federal agents for people across the usa when you search an address with the service it returns all residents of the address including their numbers, full name and dob the database includes ~25% of the entire usa mainly the west coast going from left to right

22682571 - addresses
88562842 - people

Address Data:
id (date)
lat
lng
street
city
state
zip
unit number (if applicable)
business name (if business)

Resident(s) of address:
name
first
middle
last
suffix
age
dob
phone numbers
mobile phone numbers
notes
business name (if business)
business type (if business)
i can and will get more
health leak .csv btw has this :

Policy Information:

id: A unique identifier for each record.

writing_number: Likely a reference number for the policy.

npn: National Producer Number, a unique identifier for insurance agents.

policy_status: The current status of the policy (e.g., Canceled, Carrier declined to issue, DNQ - Did Not Qualify, Free Look).

effective_date: The date when the policy became effective.

product_name: The name of the insurance product (e.g., TERM 100 30YR FG, CBO 100 25YR).

policy_number: The specific policy number.

annualized_premium: The annual premium amount.

carrier: The insurance carrier (e.g., Americo).

book_of_business: Likely refers to the agent's book of business.

organization_id, organization_user_id, organization_carrier_id, organization_user: Details about the organizational structure and user information within the insurance company.

Insured Information:

insured_name: The full name of the insured individual.

insured_address: The mailing address of the insured individual.

insured_phone: The phone number of the insured individual.

insured_email: The email address of the insured individual.

insured_dob: The date of birth of the insured individual.

insured_death_benefit: The death benefit amount (where provided).

insured_gender: The gender of the insured individual.

Agent Information:

name: The name of the insurance agent.

nipr_number: National Insurance Producer Registry number, a unique identifier for insurance agents.

phone: The phone number of the insurance agent.

email: The email address of the insurance agent.


feng very pvt database i cannot give a lot of it according to my team but its like this
{
"id": 17060,
"status": "active",
"retries": 0,
"profile": {
"personal": {
"name": "Mr. Mark Cadagin",
"greeting_name": "Mark",
"member_status": "Alumni Member",
"member_since": "02/23/2003",
"last_updated": "06/03/2020",
"last_login": "01/10/2025"
},
"current_position": {
"title": "Controller",
"company": "Rahal Fruits & Flavors"







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