masterswarm
v1.1.2Analyze 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.
Installation
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
- Visit https://masterswarm.net and purchase a plan:
- Explorer (€9.99) — 5 reports
- Professional (€29.99) — 20 reports
- Enterprise (€79.99) — 60 reports
- After purchase, Gumroad emails you a license key
- Go to https://masterswarm.net/app/ → click Upgrade → paste your license key → Activate
- 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 | [email protected] |