MasterSwarm AI Document Analysis

Analyze any document with 15 parallel AI engines via the MasterSwarm cloud API. Upload receipts, contracts, lab results, or ask business/crypto/legal questions — get professional intelligence reports. Requires a paid MasterSwarm API key purchased from masterswarm.net.

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.

text

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

bash

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:

bash

# 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

json

{
  "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	[e-mail]