Single Source of Truth for The Agentic Internet.
Portable Context is a user-controlled context layer for people and their agents. Make information public for discovery, share richer context with approved connections, and keep the rest truly private.
A working product-model prototype—not a production identity platform.
Public
Identity, capabilities, interests, goals, open to connect
Connected
Richer context for trusted people and their agents
Private
Held until the owner decides otherwise
Public for discovery. Connected for people you trust. Private until you decide otherwise.
The problem
Stop explaining yourself from scratch.
People repeatedly explain who they are, what they do, what they need, and how they prefer to work. Portable Context keeps that information structured and reusable, without treating every part of a person as public data.
Job and education applications
Professional communities
Clubs and local groups
Owned Businesses
AI assistants and agents
Personal profile pages
AI search and discovery
Deterministic answers help the right people find you.
Instead of asking AI to infer who you are from scattered pages, Portable Context gives it explicit, structured answers. You can clearly communicate your skills, services, businesses, interests, and availability so relevant searches have a dependable source to interpret.
An agent can match that public context to a customer's request, explain why it is relevant, and present the result without forcing the customer to leave the chat.
- Skills and capabilities
- Services and businesses
- Goals and availability
AI can find, understand, and present a relevant person or business directly in the conversation.
Commercial agent access
From free discovery to paid, high-intent interactions.
With x402, agents can pay as they go for priced actions or premium context. Payment can happen as part of the agent request, without a subscription or separate checkout interrupting the conversation.
Payment does not reveal a new context layer. It pays for an allowed product or service after the same public, connected, and private choices have been applied.
Pay as you go
Price individual agent actions so buyers pay only when they request something valuable.
Signal real intent
A completed payment proves a paid interaction occurred and gives providers a stronger commercial signal.
Add economic friction
Email is generally free to send at scale. A priced agent request gives indiscriminate outreach a real cost.
Agent requests
A priced action
x402 payment
Handled in the flow
Policies apply
Access + spend limits
Result returned
Inside the conversation
A payment is not identity verification by itself. It can, however, create a verifiable transaction record, support reputation signals, and make high-volume spam less attractive when every request carries a cost and spend policies are enforced.
The product model
One source. Explicit boundaries. Multiple interfaces.
Context moves through a simple, inspectable sequence. Access control is part of the model—not a separate promise added after the data is stored.
- 01Store contextMaintain identity, education, work, skills, interests, goals, links, preferences, and additional facts in one structured profile.
- 02Choose visibilitySet every section to public, connected, or private. Additional facts can have their own visibility.
- 03Be discoverableLet public capabilities, interests, goals, and availability help the right people find you.
- 04Connect by consentA request and mutual approval create a trusted relationship with access to connected context.
- 05Use it everywhereWebsites, applications, and agents receive useful context while respecting the same choices.
User-controlled access
Three understandable context layers.
Public for discovery. Connected for people you trust. Private until you decide otherwise. Every profile area has an explicit boundary, and a connection never turns private context into shared context.
Intentionally public identity, interests, capabilities, goals, and open-to-connect status. Visible on profiles and available for discovery.
Richer personal context shared with mutually approved people and agents acting on their behalf.
A holding space for context the owner may share later. Never exposed merely because someone is connected.
Public discovery
Find people through what they intentionally share.
Search across public profiles and capabilities without exposing connected or private information. Discovery stays inside the public layer, even for signed-in users.
Connected and private context never appears in discovery.
Trusted collaboration
Bob and Alice, and their agents
Bob and Alice are mutually approved connections. When Alice chooses to use her agent with Portable Context, it can understand Bob's public and connected context to help them collaborate more effectively.
Bob's private context remains visible only to Bob and agents he explicitly authorizes as himself.
Bob
Alice
Built for agents
The agent sees useful context—not the credential that unlocks it.
Add Portable Context as a connector, sign in through a secure OAuth flow, and approve what your agent may use. The agent receives relevant profile context while the authorization itself stays protected by the host.
You approve
Sign in and choose access
Secure connector
Authorization stays protected
Portable Context
Applies your sharing choices
Your agent
Receives only useful context
Simple for people
Add the connector, sign in, review the requested access, and return to your agent. No manual credential handling is part of the normal experience.
Useful for agents
Agents can use approved profile information to help with real work. They receive context, not the credentials used to authorize it.
Consistent privacy
Your choices travel with your context.
Whether someone finds you publicly, views your profile, or works with you through an agent, the same three sharing choices continue to apply.
Public means public.
Discovery uses only information you deliberately placed in the public layer.
Connecting to share information and ideas.
Approved people and their agents can use connected context. Private remains yours.
Working prototype
The core product experience is demonstrable today.
The prototype shows how structured profiles, discovery, mutual connections, three sharing layers, and agent-readable context work together.
- Data-rich fictional Alice, Bob, and Charlie profiles
- Public, connected, and private data on every profile
- Accepted Bob–Alice and pending Charlie→Bob relationships
- Public profiles and cross-profile discovery
- Agent-readable context with relationship-aware access
- Consistent visibility choices wherever context is used