MasterSwarm AI — 15 Engines. 31 Agents. One Verdict.

MasterSwarm is a cloud-based distributed AI orchestration API that analyzes documents and questions using 15 specialized AI engines running in parallel.

What It Does

Send any text or question to the MasterSwarm API — 15 engines analyze it simultaneously and return a professional multi-page analysis.

Available Engines

| Engine ID | Name | Use Case | |---|---|---| | chef | Chef Omega | Recipes, food cost, restaurant consulting | | apex | APEX Strategy | Business strategy, financial projections, crypto | | consult | NEXUS Consulting | SWOT, roadmaps, systems thinking | | research | Research Lab | Scientific analysis, medical labs, papers | | market | Market Intel | Competitive analysis, TAM/SAM, growth plans | | molecular | APEIRON Lab | Molecular gastronomy, food science | | oracle | Oracle | Forecasting, predictions, scenario planning | | assembly | GAIA Brain | Multi-perspective analysis (12 cognitive neurons) | | analyst | Data Analyst | Statistics, anomaly detection, modeling |

Setup

Required Credentials

This skill requires a MasterSwarm API key to authenticate requests. All API calls are sent to https://api.neurodoc.app.

MASTERSWARM_API_KEY=your_personal_key_here

How to Get Your API Key

1. Visit https://masterswarm.net and purchase a plan:
   • Explorer (€9.99) — 5 reports
   • Professional (€29.99) — 20 reports
   • Enterprise (€79.99) — 60 reports
2. After purchase, Gumroad emails you a license key
3. Go to https://masterswarm.net/app/ → click Upgrade → paste your license key → Activate
4. Your key is now active — use it as MASTERSWARM_API_KEY

Data Handling & Privacy

• API Host: api.neurodoc.app (operated by NeuroDoc Pro, same entity as masterswarm.net)
• Servers: Hetzner, Germany (EU-only)
• Encryption: TLS 1.3 end-to-end
• Data Retention: Zero — documents are processed in real-time and immediately discarded
• GDPR: Compliant — privacy policy at https://masterswarm.net (footer → Privacy Policy)
• No data is stored, logged, or used for training

How To Use

Single Engine Analysis

curl -s --max-time 120 -X POST https://api.neurodoc.app/aetherlang/execute \
  -H "Content-Type: application/json" \
  -H "X-Aether-Key: MASTERSWARM_API_KEY" \
  -d '{
    "code": "flow Q {\n  using target \"neuroaether\" version \">=0.2\";\n  input text query;\n  node G: guard mode=\"STANDARD\";\n  node E: ENGINE_ID style=\"professional\";\n  G -> E;\n  output text result from E;\n}",
    "query": "USER_QUESTION_OR_DOCUMENT_TEXT"
  }'

Replace:

• MASTERSWARM_API_KEY — your personal API key
• ENGINE_ID — one from the table above (e.g. apex, chef, research)
• USER_QUESTION_OR_DOCUMENT_TEXT — the user's question or extracted document text

Engine Selection Guide

| User Request | Engine ID | |---|---| | Recipe, food, restaurant, menu | chef | | Business strategy, startup, ROI | apex | | SWOT, consulting, roadmap, KPIs | consult | | Research, science, papers, evidence | research | | Market analysis, competition, pricing | market | | Crypto, trading, DeFi, portfolio | apex | | Medical labs, blood tests, health | research | | Legal, contracts, compliance | consult | | Financial analysis, P&L, ratios | apex | | General or multi-domain question | assembly | | Data, statistics, anomalies | analyst | | Molecular gastronomy, food science | molecular | | Forecasting, predictions | oracle |

Multi-Engine Analysis

For comprehensive reports, call multiple engines sequentially:

# Example: Run apex + consult + research on the same query
for ENGINE_ID in apex consult research; do
  curl -s --max-time 120 -X POST https://api.neurodoc.app/aetherlang/execute \
    -H "Content-Type: application/json" \
    -H "X-Aether-Key: MASTERSWARM_API_KEY" \
    -d "{
      \"code\": \"flow M {\n  using target \\\"neuroaether\\\" version \\\">=0.2\\\";\n  input text query;\n  node G: guard mode=\\\"STANDARD\\\";\n  node E: $ENGINE_ID style=\\\"professional\\\";\n  G -> E;\n  output text result from E;\n}\",
      \"query\": \"USER_QUESTION\"
    }"
done

Response Format

{
  "status": "success",
  "result": {
    "final_output": "## Full analysis report in markdown...",
    "outputs": {"E": "..."},
    "execution_log": [
      {"node": "G", "status": "OK"},
      {"node": "E", "status": "OK", "duration": 5.2}
    ]
  },
  "duration_seconds": 6.1
}

Extract result.final_output to present the report to the user.

Error responses:

• "status": "error" — check error field for details
• "status": "validation_error" — malformed flow code
• HTTP 429 — rate limited, wait and retry

Important Notes

• Timeout: Use 120-180 second timeout — multi-engine analysis needs time
• Credits: Each API call consumes 1 credit from the user's purchased plan
• Language: Auto-detects input language — reports match the query language
• Rate Limit: Max 5 concurrent requests per key

Links

| Resource | URL | |---|---| | Landing Page | https://masterswarm.net | | Buy Credits | https://masterswarm.net (Pricing section) | | App Dashboard | https://masterswarm.net/app/ | | Telegram Bot | https://t.me/aetherlang_bot | | AetherLang Docs | https://aetherlang.net | | Privacy Policy | https://masterswarm.net (footer) | | Support Email | echelonvoids@protonmail.com |