Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Seats.aero Award Flight Search --- name: seats-aero description: Search award flight availability via seats.aero API. Triggers on: award flights, mileage bookings, points redemptions, finding business/first class availability, route availability searches. --- Seats.aero Award Flight Search Search award flight availability across 24 mileage programs using the seats.aero partner API. Setup Before searching, you need a seats.aero API key: 1. If the u Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Freshness
Last checked 4/14/2026
Best For
seats-aero is best for get workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Seats.aero Award Flight Search --- name: seats-aero description: Search award flight availability via seats.aero API. Triggers on: award flights, mileage bookings, points redemptions, finding business/first class availability, route availability searches. --- Seats.aero Award Flight Search Search award flight availability across 24 mileage programs using the seats.aero partner API. Setup Before searching, you need a seats.aero API key: 1. If the u
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 14, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 14, 2026
Vendor
Jarrodjs
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Setup snapshot
git clone https://github.com/JarrodJS/seats-aero.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Jarrodjs
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
typescript
Parameters
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Seats.aero Award Flight Search --- name: seats-aero description: Search award flight availability via seats.aero API. Triggers on: award flights, mileage bookings, points redemptions, finding business/first class availability, route availability searches. --- Seats.aero Award Flight Search Search award flight availability across 24 mileage programs using the seats.aero partner API. Setup Before searching, you need a seats.aero API key: 1. If the u
Search award flight availability across 24 mileage programs using the seats.aero partner API.
Before searching, you need a seats.aero API key:
Partner-Authorization: Bearer {api_key}/search)Search cached availability across all mileage programs for a specific origin-destination pair.
/availability)Explore all availability from a single mileage program, optionally filtered by region.
/routes)Get all routes monitored for a specific mileage program.
/trips/{id})Get detailed flight segments and booking links for a specific availability.
| Item | Value |
|------|-------|
| Base URL | https://seats.aero/partnerapi/ |
| Auth Header | Partner-Authorization: Bearer {key} |
| Date Format | YYYY-MM-DD |
Y = EconomyW = Premium EconomyJ = BusinessF = FirstNorth America, South America, Europe, Africa, Middle East, Asia, Oceania
aeroplan, alaska, american, aeromexico, azul, copa, delta, emirates,
ethiopian, etihad, finnair, flyingblue, gol, jetblue, lufthansa,
qantas, qatar, sas, saudia, singapore, turkish, united,
virginatlantic, virginaustralia
User: "Find business class SFO to Tokyo next month"
/search endpoint with:
origin_airport=SFOdestination_airport=NRT,HND (both Tokyo airports)cabin=Jstart_date and end_date for the date rangeUser: "What United awards are available from Europe?"
/availability endpoint with:
source=unitedorigin_region=EuropeUser: "Show me details for that flight"
/trips/{id} with the availability ID from previous searchUser: "What routes does Aeroplan monitor?"
/routes endpoint with source=aeroplan| Parameter | Required | Description | |-----------|----------|-------------| | origin_airport | Yes | 3-letter IATA code | | destination_airport | Yes | 3-letter IATA code(s), comma-separated | | cabin | No | Y, W, J, or F (comma-separated for multiple) | | start_date | No | YYYY-MM-DD | | end_date | No | YYYY-MM-DD | | sources | No | Program name(s), comma-separated | | only_direct | No | true/false | | take | No | Results per page (default 100) | | cursor | No | Pagination cursor |
| Parameter | Required | Description | |-----------|----------|-------------| | source | Yes | Single program name | | cabin | No | Single cabin code | | origin_region | No | Filter by origin region | | destination_region | No | Filter by destination region | | start_date | No | YYYY-MM-DD | | end_date | No | YYYY-MM-DD | | take | No | Results per page |
For complex or repeated searches, use the Python helper:
from scripts.seats_api import search_availability, format_results
results = search_availability(
api_key="your_key",
origin="SFO",
destination="NRT",
start_date="2024-03-01",
end_date="2024-03-31",
cabins="J,F"
)
print(format_results(results["data"], cabin="J"))
See scripts/seats_api.py for full API client implementation.
ID - Use for /trips/{id} lookupRoute - Origin-Destination pairDate - Flight dateYAvailable, WAvailable, JAvailable, FAvailable - Boolean availabilityYMileageCost, etc. - Points required per cabinYDirects, etc. - Number of direct flights availableSource - Program nameComputedLastSeen - Data freshness timestamponly_direct=true to filter connectionscursor from response for more resultsComputedLastSeen - older data may be staleFor complete API specification including all fields and response schemas, see references/api-spec.md.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/snapshot"
curl -s "https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/contract"
curl -s "https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T03:18:26.487Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "get",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:get|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Jarrodjs",
"href": "https://github.com/JarrodJS/seats-aero",
"sourceUrl": "https://github.com/JarrodJS/seats-aero",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-14T22:24:15.337Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-14T22:24:15.337Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/jarrodjs-seats-aero/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to seats-aero and adjacent AI workflows.