What problem does it solve? Data brokers and people-search sites publish names, addresses, phone numbers, and emails, fueling doxxing, stalking, and identity theft. Manually opting out of hundreds of brokers is high-volume, perishable work full of dark patterns, and commercial removal services are closed systems that require handing your sensitive data to a third party. ## Core Features & Use Cases - Autonomous removal pipeline: A deterministic Python CLI (scripts/pdd.py) manages consent-gated dossiers, a broker database, tiered automation planning (T0-T3), a validated ledger state machine, and an action queue that the agent drains hands-off. - Broad coverage: 19 curated people-search records plus a live pull from the BADBOOL list, the California Data Broker Registry (~545 brokers), and the CA DROP one-shot that deletes from every registered broker in a single request. - Privacy by default: Opaque subject IDs, least-disclosure field selection (SSN/ID numbers never volunteered), optional age at-rest encryption, jurisdiction-aware requests (CCPA/GDPR), and scheduled re-scans to catch re-listings. - Use Case: Ask your agent to remove your data from data brokers; it self-configures, records consent, scans brokers in parallel, submits opt-outs parents-first, sends and verifies emails, and returns one digest of the few human-only tasks (gov-ID sites, phone callbacks). ## Quick Start Use the unbroker skill to remove my data from data brokers, here is my consent, run it hands-off and show me the human-task digest at the end.