Physical mailing address and postal mail API for AI agents
AI attention layer that learns what matters to you and surfaces priorities before they slip
Stage
Not given
MVP
Founded
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Based in
US
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Pricing model
Freemium
Free
Pricing
Outbound mail: $0/month base, USPS First-Class Mail (1-page letter) $2.00, USPS Priority Mail flat-rate envelope $15.00, USPS Certified Mail $20.00, Certified with Electronic Return Receipt $24.00. Printing: B&W $0.40/page, Color $0.70/page. Mailing address for AI agent: $15/month, includes 30 stand
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Key features
Send outbound mail via API, MCP, or dashboard
Certified mail with proof of delivery
Inbound mail scanning and OCR
REST API and MCP server integration
Webhook notifications with HMAC-SHA256 signing
Batch mail and postcards from templates
Human-in-the-loop approval gates for mail
Multi-channel notifications via email, SMS, Slack, Discord
Fulfillment photos and tracking for all mail
Connects to Gmail, Google Calendar, Slack and Google Meet
Shadow mode analyzes 30 days of past communications
Resolves people across channels into canonical contacts
Captures meeting decisions with reasoning and participants
Joins Google Meet as visible participant or captures from device
AI assistant Thara searches professional context and answers questions
Earns autonomy progressively through repeated approvals
Coverage honesty alerts when data sources fall behind
Categorizes attention into Needs You, Might Need You and Watching tiers
What makes it different
Real physical street address for autonomous agents to receive mail and packages
Seamless API integration with AI agent frameworks like OpenClaw, Hermes, LangChain
Inbound mail becomes structured agentic context via OCR and webhooks
Complete tracking from document submission through delivery confirmation
No credit card required to start using the service
Never claims certainty, only surfaces what may matter based on evidence
Learns around the way you work across different roles and professions
Maintains decision memory with reasoning and what changed
Requires explicit approval before acting on consequential items
Operates with read-only access and full user control over what is remembered