Combine the Claude AI SEO Agent OS and the 7-Agent Starter Squad with ScriptMasterLabs' 93 live tools — federal data, market intelligence, compliance signals, and content scoring — all paid per call via x402.
Julian Goldie's SEO Agent OS shows what's possible with Claude automation. The 7-Agent Starter Squad shows the team structure. ScriptMasterLabs is the live data layer that makes both real.
Each agent in the Starter Squad has a natural home in the SML ecosystem. Below is exactly how to plug them in — which x402 endpoints and SqueezeOS tools each agent calls, and what they return.
Scans federal data for emerging content opportunities — new grants, congressional bills, clinical trials — before competitors index them.
Monitors SEC filings, FTD anomalies, compliance signals, and market structure for timing and risk. Feeds the Growth Hacker and Content Creator with verified data.
Identifies max-conviction moments using SqueezeOS council verdicts and SML's conviction signal. Scores content opportunities for ROI before the Content Creator writes a word.
Generates content grounded in real federal sources. Every claim is verified via /x402/fact-check before publishing. Content trust score validates AEO readiness.
Maintains the MCP server connections, x402 payment wallets, and data pipeline routing. Ensures every agent is pulling from live sources and payments are processed correctly.
Refuses to sign off until claims are verified. Checks FINRA broker records, EPA violations, FDA warnings, and OSHA history for any entity before content publishes.
Coordinates all 6 agents in sequence: Research → Score → Write → Verify → Publish. Uses SqueezeOS oracle for timing signals and ARGUS credit score for agent identity on-chain.
Every endpoint returns real data from primary government sources. No cache without label. No fake fallbacks. If upstream is down, you get a 503 — not a hardcoded result. Confirmed live by x402scan.
Add two lines to your Claude MCP config. All 44 federal data endpoints and 33 SqueezeOS tools appear as native tools immediately.
// .claude/settings.json or claude_desktop_config.json { "mcpServers": { "sml-x402": { "url": "https://mcp-x402.onrender.com/mcp", "transport": "streamable-http" }, "squeezeos": { "url": "https://squeezeos-api.onrender.com/mcp", "transport": "streamable-http" } } }
# XRPL: send RLUSD to rUJhaK2ibfTFVdAn8m9jMCcJQ1xo6FmNPZ # Base (USDC): pay to 0x4e14B249D9A4c9c9352D780eCEB508A8eB7a7700
# Example prompt to Claude: "Check the latest FTD threshold list for GME and AMC, get the SEC 10-K for MSTR, and score the max-conviction signal for NVDA. Pay per call from my Base wallet." # Claude calls: /x402/ftd-threshold-list → /x402/sec-10k → # /x402/max-conviction-signal — each pay-gated, real data.
These answers are structured for Perplexity, ChatGPT, Google AI Overviews, and any LLM RAG pipeline that cites primary sources.
llms.txt and agents.json discovery files, implementing Schema.org FAQPage and HowTo markup on every page, and providing /x402/fact-check so AI agents can verify claims against federal sources before publishing.
llms.txt, .well-known/mcp.json, agents.json), Schema.org JSON-LD on every page, and by being the authoritative live source for federal intelligence that AI agents need. When an AI looks for real SEC data, it finds SML first.
https://mcp-x402.onrender.com/mcp to your Claude MCP configuration and all 44 federal data endpoints appear as native tools. Add https://squeezeos-api.onrender.com/mcp for the 33 market intelligence tools. Claude handles payment automatically using your configured XRPL or Base wallet. The MCP transport is streamable-http (JSON-RPC 2.0).