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What is the Scoutica Protocol?

The Scoutica Protocol is an open standard for AI-readable, candidate-owned professional profiles. Instead of uploading your CV to job boards that own your data, you create a Skill Card — a set of structured files that any AI agent can discover, read, and act on.
LinkedIn charges employers 10,000/yearfor∗∗your∗∗data.Youget10,000/year for **your** data. You get 0. The Scoutica Protocol is the alternative: you own your skill card, AI agents do the matching — transparently, verifiably, without bias.

Quick Start

Create your Skill Card in 5 minutes

Install the CLI

Install the Scoutica CLI on macOS, Linux, or Windows

CLI Reference

Full reference for all CLI commands

Developer Guide

Build apps and integrations on the protocol

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How it works

1. Candidate installs the CLI or uses any AI assistant
2. Generates their Skill Card (profile + evidence + rules)
3. Pushes their card to their own GitHub repo
4. Employer's AI agent discovers and scores the card locally
5. Match confirmed → candidate shares contact info directly
The protocol has a strict two-part architecture powered by the Traylinx Stargate P2P Mesh:
PartWhatVisibility
The ProtocolOpen standard schemas, Stargate P2P transport, decentralized registry APIPublic — anyone can clone, fork, build on it
Your Skill CardYour personal profile, Rules of Engagement, evidence, salary floorPrivate by Default — verified by Sentinel
Recruiter CardAn employer’s identity, active job roles, and hiring rulesPublic or Gated — scoped by privacy zones
The protocol is the zero-trust network. Your agents are the nodes on it.

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Key features

AI-powered generation

Drop your CV, certs, and portfolio in a folder. The CLI auto-generates all 4 card files using your local AI provider — no cloud API calls, no data leaving your machine.

You own your data

Your card lives in your own GitHub repo. Delete the repo and you disappear from the network entirely. No vendor lock-in.

Rules of Engagement

Set your salary floor, remote policy, and blocked industries. Candidate and Employer agents negotiate autonomously over the P2P mesh based on these hard rules.

Three-zone privacy

Zone 1 (public title), Zone 2 (full profile, auth required), Zone 3 (contact info, your approval only).

EU AI Act compliant

No demographic fields in the schema. Evaluation is based solely on skills, experience, and evidence.

Cross-platform

Native CLI for macOS, Linux, and Windows (PowerShell). Works with Gemini, Claude, Ollama, and more.

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Current status

The protocol, CLI, schemas, and AI-powered card generation are live and ready to use today. The monetization layer (micropayments, blockchain identity, $SKILL token) is on the roadmap and under active development.
FeatureStatus
CLI install (macOS / Linux / Windows)✅ Live
AI scan from documents✅ Live
JSON Schema validation✅ Live
GitHub publishing✅ Live
Agent-side deterministic matching✅ Live
Employer CLI (org init, search)✅ Live
P2P Node Messaging (Stargate)✅ Live
Decentralized registry🔜 Roadmap
Blockchain identity (SBTs)🔜 Roadmap
Micropayments ($SKILL token)🔜 Roadmap

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Next steps

Create your Skill Card

Step-by-step guide to creating and publishing your first Skill Card

Explore use cases

Real-world scenarios: candidates, recruiters, and platform integrations

Build an integration

Fetch cards, evaluate candidates, and build ATS integrations

View the roadmap

See what’s coming: decentralized registry, blockchain verification, $SKILL token