Masterswarm
Analyze any document with 15 parallel AI engines via the MasterSwarm cloud API.
- Rating
- 4.2 (226 reviews)
- Downloads
- 5,689 downloads
- Version
- 1.0.0
Overview
Analyze any document with 15 parallel AI engines via the MasterSwarm cloud API.
Complete Documentation
View Source →
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 keyENGINE_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"— checkerrorfield 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] |
Installation
openclaw install masterswarm
💻Code Examples
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}'
**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: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"
}'# 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{
"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
}Tags
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