activepieces
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
Crawler Summary
Plan public transit trips in Norway using the Entur API. Covers all operators (Vy, Ruter, Kolumbus, etc.), all modes (bus, rail, tram, metro, ferry, coach). Use when: (1) planning a journey between places in Norway, (2) checking departure boards/next departures, (3) finding stop IDs or place names, (4) looking up real-time transit info. Triggers on questions about trains, buses, ferries, trams in Norway, getting to airports (Gardermoen, Torp, Flesland), or how do I get to X. --- name: entur-travel description: "Plan public transit trips in Norway using the Entur API. Covers all operators (Vy, Ruter, Kolumbus, etc.), all modes (bus, rail, tram, metro, ferry, coach). Use when: (1) planning a journey between places in Norway, (2) checking departure boards/next departures, (3) finding stop IDs or place names, (4) looking up real-time transit info. Triggers on questions about trains, buses, f Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
entur-travel is best for general automation 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
Plan public transit trips in Norway using the Entur API. Covers all operators (Vy, Ruter, Kolumbus, etc.), all modes (bus, rail, tram, metro, ferry, coach). Use when: (1) planning a journey between places in Norway, (2) checking departure boards/next departures, (3) finding stop IDs or place names, (4) looking up real-time transit info. Triggers on questions about trains, buses, ferries, trams in Norway, getting to airports (Gardermoen, Torp, Flesland), or how do I get to X. --- name: entur-travel description: "Plan public transit trips in Norway using the Entur API. Covers all operators (Vy, Ruter, Kolumbus, etc.), all modes (bus, rail, tram, metro, ferry, coach). Use when: (1) planning a journey between places in Norway, (2) checking departure boards/next departures, (3) finding stop IDs or place names, (4) looking up real-time transit info. Triggers on questions about trains, buses, f
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Mmichelli
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 2/25/2026.
Setup snapshot
git clone https://github.com/mmichelli/entur-travel.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
Mmichelli
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
1
Snippets
0
Languages
typescript
Parameters
bash
# Search for stops/places python3 scripts/entur.py search "Oslo S" # Plan a trip (place names auto-resolve via geocoder) python3 scripts/entur.py trip "Porsgrunn" "Oslo lufthavn" # Plan with specific departure time python3 scripts/entur.py trip "Bergen" "Stavanger" --time "2025-03-01T08:00:00" # Arrive by a specific time python3 scripts/entur.py trip "Drammen" "Oslo S" --time "2025-03-01T09:00:00" --arrive # Filter by mode python3 scripts/entur.py trip "Tromsø" "Harstad" --modes water # Departure board for a stop python3 scripts/entur.py departures "NSR:StopPlace:58966" --limit 5 # Stop details (quays, platforms) python3 scripts/entur.py stop "NSR:StopPlace:58966"
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Plan public transit trips in Norway using the Entur API. Covers all operators (Vy, Ruter, Kolumbus, etc.), all modes (bus, rail, tram, metro, ferry, coach). Use when: (1) planning a journey between places in Norway, (2) checking departure boards/next departures, (3) finding stop IDs or place names, (4) looking up real-time transit info. Triggers on questions about trains, buses, ferries, trams in Norway, getting to airports (Gardermoen, Torp, Flesland), or how do I get to X. --- name: entur-travel description: "Plan public transit trips in Norway using the Entur API. Covers all operators (Vy, Ruter, Kolumbus, etc.), all modes (bus, rail, tram, metro, ferry, coach). Use when: (1) planning a journey between places in Norway, (2) checking departure boards/next departures, (3) finding stop IDs or place names, (4) looking up real-time transit info. Triggers on questions about trains, buses, f
Plan public transit journeys across Norway via the Entur Journey Planner API. Covers every operator and mode — bus, rail, tram, metro, ferry, coach, air — with real-time data.
No API key required. Free, open API under NLOD licence.
scripts/entur.py — standalone Python 3 CLI, no dependencies beyond stdlib.
# Search for stops/places
python3 scripts/entur.py search "Oslo S"
# Plan a trip (place names auto-resolve via geocoder)
python3 scripts/entur.py trip "Porsgrunn" "Oslo lufthavn"
# Plan with specific departure time
python3 scripts/entur.py trip "Bergen" "Stavanger" --time "2025-03-01T08:00:00"
# Arrive by a specific time
python3 scripts/entur.py trip "Drammen" "Oslo S" --time "2025-03-01T09:00:00" --arrive
# Filter by mode
python3 scripts/entur.py trip "Tromsø" "Harstad" --modes water
# Departure board for a stop
python3 scripts/entur.py departures "NSR:StopPlace:58966" --limit 5
# Stop details (quays, platforms)
python3 scripts/entur.py stop "NSR:StopPlace:58966"
All output is JSON.
Valid transport modes for --modes: bus, rail, tram, metro, water, air, coach
Use search to find IDs. Some common ones:
NSR:StopPlace:59872NSR:StopPlace:269NSR:StopPlace:585NSR:StopPlace:41742When presenting trip results to users:
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://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/contract"
curl -s "https://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/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.
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
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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!
The Frontend for Agents & Generative UI. React + Angular
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://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-10-09T08:01:46.414Z"
}
},
"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"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|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": "Mmichelli",
"href": "https://github.com/mmichelli/entur-travel",
"sourceUrl": "https://github.com/mmichelli/entur-travel",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T01:46:15.566Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T01:46:15.566Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/mmichelli-entur-travel/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 entur-travel and adjacent AI workflows.