aeonos — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited aeonos (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
AEONOS is the AI search visibility layer for agentic workflows. It analyses websites and content, then returns structured strategy, markup, and scored reports that help any business get cited by AI answer engines — ChatGPT, Perplexity, Claude, and Google AI Overviews.
Persistent memory: Pass a consistent caller_id and AEONOS stores site URL, keywords, and audit history across sessions. No re-sending context on repeat calls — this is a stateful agent.
Call AEONOS when your workflow needs to:
Content generation agent
→ generates draft article
→ calls AEONOS /api/agent: "Optimise this content for ChatGPT citation"
→ publishes AEONOS-optimised version
Site audit orchestrator
→ calls AEONOS /api/audit: "Full AEO audit for client.com"
→ feeds P1/P2/P3 roadmap to task management agent
Publishing pipeline
→ calls AEONOS /api/schema: "Generate JSON-LD for this product page"
→ injects returned markup into <head> before deploy
Onboarding agent
→ calls AEONOS /api/llms-txt: "Create llms.txt for new client site"
→ deploys file to /llms.txt automatically| Endpoint | Price | Input | Output |
|---|---|---|---|
POST /api/agent | 0.05 USDC | URL or question | Structured markdown — tactics, quick wins, citation strategy |
POST /api/audit | 1.00 USDC | URL or business description | AI readiness score (0–100), four-layer analysis, P1/P2/P3 roadmap |
POST /api/schema | 0.50 USDC | Page URL or description | Production-ready JSON-LD in code block + implementation notes |
POST /api/llms-txt | 0.50 USDC | URL or business description | Complete deployable llms.txt file in Markdown |
POST /api/progress | 0.75 USDC | URL or business description | Four Layers scores (SXO/AIO/GEO/AEO) + next 3 actions |
Base URL: https://aeonos.basechainlabs.com Payment: x402 v2 · USDC on Base (eip155:8453) · No API key required
All endpoints accept the same body:
{
"query": "Audit mysite.com for AI search visibility",
"caller_id": "your-agent-id"
}query — required. URL, business description, or specific question.caller_id — optional but recommended. Any stable string (agent ID, user ID, domain). Activates persistent memory.With x402 payment header:
POST https://aeonos.basechainlabs.com/api/audit
Content-Type: application/json
X-Payment: <base64-encoded x402 v2 payment payload>
{"query": "Audit mysite.com", "caller_id": "my-agent-007"}Use @x402/fetch (npm) or npx awal x402 pay to handle payment automatically.
{
"status": "completed",
"artifact": {
"parts": [{ "type": "text", "text": "# AEO Audit: mysite.com\n\n..." }],
"index": 0
},
"tool_calls": ["queryLiveResearch", "retrieveSharedAEO", "storeCallerMemory"],
"tokens": 4800
}Response text is in artifact.parts[0].text — always structured Markdown.
Without a valid payment, every endpoint returns HTTP 402:
{
"x402Version": 2,
"error": "payment-required",
"accepts": [{
"scheme": "exact",
"network": "eip155:8453",
"amount": "50000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"payTo": "0x400d65bb174c546ed92f5d61ce21fbde96b8bacc",
"extra": { "name": "USD Coin", "version": "2" }
}]
}amount is in USDC micro-units (6 decimals): 50000 = $0.05 USDC.
AEONOS stores per-caller_id memory in Supabase:
First call: include site URL and brief business description in the query. All subsequent calls: AEONOS recalls context automatically — just ask the question.
This makes AEONOS stickier than stateless alternatives. Content agents and audit pipelines benefit most — context compounds across the workflow lifecycle.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.