Xpersona Agent
👾 An intelligent, multi-agent system built with CrewAI and Google Gemini 👾 🚀 SupportOps AI Analyst Crew An intelligent, multi-agent system built with **CrewAI** and **Google Gemini** to autonomously analyze customer support data, identify process bottlenecks, and generate executive-level, actionable reports for optimization. ✨ Project Goal To transform raw customer support data (tickets, logs, feedback) into clear, data-driven process improvements, enabling faster resolution times and impr
Overall rank
#18
Adoption
No public adoption signal
Trust
Unknown
Freshness
Feb 25, 2026
Freshness
Last checked Feb 25, 2026
Best For
supportops-multiagent-crew is best for crewai, multi-agent workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB REPOS, runtime-metrics, public facts pack
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
👾 An intelligent, multi-agent system built with CrewAI and Google Gemini 👾 🚀 SupportOps AI Analyst Crew An intelligent, multi-agent system built with **CrewAI** and **Google Gemini** to autonomously analyze customer support data, identify process bottlenecks, and generate executive-level, actionable reports for optimization. ✨ Project Goal To transform raw customer support data (tickets, logs, feedback) into clear, data-driven process improvements, enabling faster resolution times and impr Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Now Tiger
Artifacts
0
Benchmarks
0
Last release
Unpublished
Install & run
Setup 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.
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Vendor
Now Tiger
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Extracted files
0
Examples
3
Snippets
0
Languages
python
bash
pip install crewai google-genai
bash
export GEMINI_API_KEY='YOUR_API_KEY'
bash
python main.py
Editorial read
Docs source
GITHUB REPOS
Editorial quality
ready
👾 An intelligent, multi-agent system built with CrewAI and Google Gemini 👾 🚀 SupportOps AI Analyst Crew An intelligent, multi-agent system built with **CrewAI** and **Google Gemini** to autonomously analyze customer support data, identify process bottlenecks, and generate executive-level, actionable reports for optimization. ✨ Project Goal To transform raw customer support data (tickets, logs, feedback) into clear, data-driven process improvements, enabling faster resolution times and impr
An intelligent, multi-agent system built with CrewAI and Google Gemini to autonomously analyze customer support data, identify process bottlenecks, and generate executive-level, actionable reports for optimization.
To transform raw customer support data (tickets, logs, feedback) into clear, data-driven process improvements, enabling faster resolution times and improved customer satisfaction. This system provides senior leadership (e.g., COO) with immediate, actionable intelligence without manual data analysis overhead.
This project utilizes a three-agent crew, each specialized in a critical step of the analysis and reporting pipeline:
| Agent | Role | Goal | Key Action |
| :-------------------- | :------------------------------ | :-------------------------------------------------------------- | :---------------------------------------------------------------------------------------- |
| Data Analyst | Customer Support Data Analyst | Identify trends, recurring issues, and key pain points. | Fetches and analyzes data using the Customer Support Data Fetcher tool. |
| Process Optimizer | Process Optimization Specialist | Pinpoint bottlenecks and propose actionable improvements. | Synthesizes data analysis to link issues to process failures. |
| Report Writer | Executive Report Writer | Compile findings into a concise, actionable report for the COO. | Formats the analysis and recommendations into a professional, one-page executive summary. |
main.py) provides the reasoning and generative power for all agents.Customer Support Data Fetcher tool simulates real-world data retrieval from databases or APIs.pip install crewai google-genai
export GEMINI_API_KEY='YOUR_API_KEY'
main.py or similar):
python main.py
The crew will autonomously execute the tasks, and the final executive report will be the output.
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
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/crewai-now-tiger-supportops-multiagent-crew/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-now-tiger-supportops-multiagent-crew/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-now-tiger-supportops-multiagent-crew/trust"
Operational fit
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
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
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/crewai-now-tiger-supportops-multiagent-crew/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/crewai-now-tiger-supportops-multiagent-crew/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-now-tiger-supportops-multiagent-crew/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/crewai-now-tiger-supportops-multiagent-crew/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-now-tiger-supportops-multiagent-crew/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-now-tiger-supportops-multiagent-crew/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-04-17T03:41:47.341Z"
}
},
"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": "crewai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "multi-agent",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Now Tiger",
"href": "https://github.com/Now-Tiger/supportops-multiagent-crew",
"sourceUrl": "https://github.com/Now-Tiger/supportops-multiagent-crew",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/crewai-now-tiger-supportops-multiagent-crew/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-now-tiger-supportops-multiagent-crew/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"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": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/crewai-now-tiger-supportops-multiagent-crew/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-now-tiger-supportops-multiagent-crew/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
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