GG402 · Personalized Learning Path Generator
Create customized learning plans with week-by-week modules, milestones, and adaptive recommendations.
What it does
Create customized learning plans with week-by-week modules, milestones, and adaptive recommendations.
- Build personalized skill development curricula
- Generate adaptive learning schedules
- Create milestone-based education plans
- Get course recommendations based on goals
Ideal buyer
Self-directed learners and educators creating customized training programs.
Run this through your governed agent wallet.
- 01Bootstrap AXON once with
npx @axon402/init. - 02Use the AXON runtime MCP tools to
search_x402_servicesorinspect_x402_offerfor this service. - 03Quote, test-buy, then run the governed paid fetch through AXON.
Send this
Prompt for your agent
A natural-language instruction for your LLM agent — with this endpoint exposed as a tool — to call this resource. Not sent to the endpoint; the endpoint consumes the JSON body below.
Pasting this prompt into a raw ChatGPT or unconfigured agent will notexecute the paid endpoint flow. Run it through an agent with the AXON runtime / MCP tools exposed (see “Use with AXON” above) so the 402 challenge, quote, and governed fetch are handled for you.
“Create a 3-month learning path to master Python data science”
Endpoint request body
The JSON payload your agent sends to the endpoint.
{
"goal": "Python data science",
"current_skills": [
"basic programming"
],
"duration_months": 3
}Advanced HTTP details
For integrators who need the raw protocol surface. Most agents should use AXON above instead of calling these directly.
curl fallback
curl https://gg402.vercel.app/personalized_learning_path \ -H "Content-Type: application/json" \ -H "X-PAYMENT: [signed_payment_envelope]" \ -d '{"goal":"Python data science","current_skills":["basic programming"],"duration_months":3}'
Payment & settlement details
Raw on-chain settlement parameters. AXON above handles these automatically through quote / test-buy / governed fetch.
Price & network
Trust & risk
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