name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token,保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
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Search, score, and compare flights with jetlag impact analysis.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Search and analyze flights with jetlag scoring for healthier travel.
Set AEROBASE_API_KEY as an environment variable:
export AEROBASE_API_KEY="ak_xxxxxxxx"
Get your API key from https://aerobase.app/connect
https://aerobase.app/api
Find flights between destinations with jetlag scoring.
Command:
curl -X POST https://aerobase.app/api/v1/flights/search \
-H "Authorization: Bearer $AEROBASE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"from": "LAX",
"to": "NRT",
"date": "2026-04-15",
"cabin": "economy",
"sort": "jetlag",
"limit": 10
}'
Parameters:
| Parameter | Type | Description |
|---|---|---|
| from | string | Origin IATA code (e.g., LAX) |
| to | string | Destination IATA code (e.g., NRT) |
| date | string | Departure date (YYYY-MM-DD) |
| returnDate | string | Optional return date |
| cabin | string | economy, premium_economy, business, first |
| sort | string | jetlag, price, duration |
| limit | number | Results to return (free=5, pro=50) |
Response includes: flight details + jetlag_score, recovery_days, direction
Get detailed jetlag analysis for a specific flight.
Command:
curl -X POST https://aerobase.app/api/v1/flights/score \
-H "Authorization: Bearer $AEROBASE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"from": "LAX",
"to": "NRT",
"departure": "2026-04-15T08:00:00-07:00",
"arrival": "2026-04-16T14:30:00+09:00",
"cabin": "business"
}'
Parameters:
| Parameter | Type | Description |
|---|---|---|
| from | string | Origin IATA code |
| to | string | Destination IATA code |
| departure | string | ISO 8601 with offset |
| arrival | string | ISO 8601 with offset |
| cabin | string | economy, premium_economy, business, first |
| chronotype | string | early_bird, night_owl, normal |
Response includes:
Compare 2-10 flights side by side.
Command:
curl -X POST https://aerobase.app/api/v1/flights/compare \
-H "Authorization: Bearer $AEROBASE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"flights": [
{"from": "JFK", "to": "LHR", "departure": "2026-04-15T18:00:00-04:00", "arrival": "2026-04-16T07:00:00+01:00", "label": "Evening departure"},
{"from": "JFK", "to": "LHR", "departure": "2026-04-15T22:00:00-04:00", "arrival": "2026-04-16T11:00:00+01:00", "label": "Red-eye"}
]
}'
Generate personalized jetlag recovery plan.
Command:
curl -X POST https://aerobase.app/api/v1/recovery/plan \
-H "Authorization: Bearer $AEROBASE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"from": "LAX",
"to": "NRT",
"departure": "2026-04-15T08:00:00-07:00",
"arrival": "2026-04-16T14:30:00+09:00",
"arrival_commitments": [
{"event": "Board Meeting", "time": "2026-04-17T09:00:00+09:00"}
]
}'
Response includes:
Find jetlag-scored travel deals.
Command:
curl "https://aerobase.app/api/v1/deals?departure=LAX&max_price=600&sort=jetlag_score&limit=10" \
-H "Authorization: Bearer $AEROBASE_API_KEY"
Parameters:
| Parameter | Type | Description |
|---|---|---|
| departure | string | Origin IATA code |
| destination | string | Destination IATA code |
| max_price | number | Maximum price in USD |
| sort | string | value_score, price, jetlag_score, newest |
| limit | number | Results (free=3, pro=50) |
Get airport details with facilities.
Command:
curl "https://aerobase.app/api/v1/airports/JFK" \
-H "Authorization: Bearer $AEROBASE_API_KEY"
Find jetlag-friendly hotels near airport.
Command:
curl "https://aerobase.app/api/v1/hotels?airport=NRT&jetlagFriendly=true" \
-H "Authorization: Bearer $AEROBASE_API_KEY"
Find airport lounges.
Command:
curl "https://aerobase.app/api/v1/lounges?airport=LHR" \
-H "Authorization: Bearer $AEROBASE_API_KEY"
Analyze multi-leg trips for cumulative jetlag.
Command:
curl -X POST https://aerobase.app/api/v1/itinerary/analyze \
-H "Authorization: Bearer $AEROBASE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"legs": [
{"from": "LAX", "to": "NRT", "departure": "...", "arrival": "..."},
{"from": "NRT", "to": "SIN", "departure": "...", "arrival": "..."}
]
}'
| Score | Tier | Recovery |
|---|---|---|
| 80-100 | Excellent | 0-2 days |
| 60-79 | Good | 2-3 days |
| 40-59 | Moderate | 3-5 days |
| 20-39 | Poor | 5-7 days |
| 0-19 | Severe | 7+ days |
All responses:
{
"data": { ... },
"meta": {
"request_id": "uuid",
"tier": "free|pro|concierge|api",
"calls_remaining": 95,
"latency_ms": 234
}
}
Common error codes:
| Tier | Daily Calls |
|---|---|
| Free | 100 |
| Pro | 1,000 |
| Concierge | 10,000 |
| API | Unlimited |
Show the jetlag score prominently:
✈️ UA870 LAX → NRT
Score: 72/100 (Good) | Recovery: 3 days
Dep: 11:00 AM | Arr: 2:30 PM (+1 day)
💡 Red-eye aligns with natural sleep
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name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token,保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
中文简介正在准备中。当前显示原文说明。
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中文简介正在准备中。当前显示原文说明。