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
Investment research and company analysis using 8 specialized frameworks. Use when the user wants to analyze a public company for investment purposes, research competitive positioning, evaluate AI moats, assess business models, or generate investment theses. Trigger on commands like "/analyze", requests to analyze tickers like "AAPL", "analyze company X", or any investment research queries. --- name: company-analyzer description: Investment research and company analysis using 8 specialized frameworks. Use when the user wants to analyze a public company for investment purposes, research competitive positioning, evaluate AI moats, assess business models, or generate investment theses. Trigger on commands like "/analyze", requests to analyze tickers like "AAPL", "analyze company X", or any investment resea Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.
Freshness
Last checked 2/24/2026
Best For
company-analyzer is best for fail 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
Investment research and company analysis using 8 specialized frameworks. Use when the user wants to analyze a public company for investment purposes, research competitive positioning, evaluate AI moats, assess business models, or generate investment theses. Trigger on commands like "/analyze", requests to analyze tickers like "AAPL", "analyze company X", or any investment research queries. --- name: company-analyzer description: Investment research and company analysis using 8 specialized frameworks. Use when the user wants to analyze a public company for investment purposes, research competitive positioning, evaluate AI moats, assess business models, or generate investment theses. Trigger on commands like "/analyze", requests to analyze tickers like "AAPL", "analyze company X", or any investment resea
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 24, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 24, 2026
Vendor
Akira9000bot
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 2/24/2026.
Setup snapshot
git clone https://github.com/Akira9000bot/company-analyzer.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
Akira9000bot
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
6
Snippets
0
Languages
typescript
Parameters
bash
cd skills/company-analyzer && ./scripts/analyze-parallel.sh <TICKER> --live
bash
cd skills/company-analyzer && ./scripts/analyze-parallel.sh <TICKER> --live
bash
cd skills/company-analyzer && ./scripts/analyze-parallel.sh <TICKER>
bash
cd skills/company-analyzer && ./scripts/fetch_data.sh AAPL
bash
cd skills/company-analyzer && ./scripts/run-framework.sh AAPL 03-ai-moat --live
json
{
"profiles": {
"alpha-vantage:default": {
"key": "YOUR_API_KEY"
}
}
}Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Investment research and company analysis using 8 specialized frameworks. Use when the user wants to analyze a public company for investment purposes, research competitive positioning, evaluate AI moats, assess business models, or generate investment theses. Trigger on commands like "/analyze", requests to analyze tickers like "AAPL", "analyze company X", or any investment research queries. --- name: company-analyzer description: Investment research and company analysis using 8 specialized frameworks. Use when the user wants to analyze a public company for investment purposes, research competitive positioning, evaluate AI moats, assess business models, or generate investment theses. Trigger on commands like "/analyze", requests to analyze tickers like "AAPL", "analyze company X", or any investment resea
When user triggers "/analyze <TICKER>", you MUST execute the bash script directly:
cd skills/company-analyzer && ./scripts/analyze-parallel.sh <TICKER> --live
DO NOT spawn subagents. DO NOT use sessions_spawn. Direct script execution only.
Perform comprehensive investment research on public companies using 8 specialized analysis frameworks with parallel execution, response caching, and cost controls.
Note: Synthesis phase removed. Analysis returns 8 framework outputs without consolidated verdict.
When user types /analyze <TICKER>, execute:
cd skills/company-analyzer && ./scripts/analyze-parallel.sh <TICKER> --live
For dry run (no cost):
cd skills/company-analyzer && ./scripts/analyze-parallel.sh <TICKER>
| Feature | Benefit | |---------|---------| | Parallel Execution | 8 frameworks run simultaneously (~4-6s vs ~20s sequential) | | Response Caching | Re-analyzing same ticker uses cache = ~50-80% cost savings | | Cost Tracking | Logs spending for visibility (no enforced limits) | | Alpha Vantage | Price data (P/E, market cap) when API key configured | | Retry Logic | 3 retries with exponential backoff on API failures |
| # | Name | Focus | |---|------|-------| | 1 | Phase Classification | Startup/Growth/Maturity/Decline | | 2 | Key Metrics Scorecard | Financial health dashboard | | 3 | AI Moat Viability | AI-native competitive advantage | | 4 | Strategic Moat | Competitive durability analysis | | 5 | Price & Sentiment | Valuation + market sentiment | | 6 | Growth Drivers | New vs existing customer mix | | 7 | Business Model | Unit economics & delivery | | 8 | Risk Analysis | Key threats & scenarios |
User types: /analyze AAPL
You execute: cd skills/company-analyzer && ./scripts/analyze-parallel.sh AAPL --live
Runs all 8 frameworks in parallel. Cost: ~$0.03 (or $0 if cached).
Before analysis, fetch company data:
cd skills/company-analyzer && ./scripts/fetch_data.sh AAPL
This pulls:
cd skills/company-analyzer && ./scripts/run-framework.sh AAPL 03-ai-moat --live
analyze-parallel.sh - Main orchestrator (parallel execution)run-framework.sh - Single framework runner with cachingfetch_data.sh - Data acquisition (SEC + Alpha Vantage)lib/cache.sh - Response caching utilitieslib/cost-tracker.sh - Budget managementlib/api-client.sh - Moonshot API with retry logic/.openclaw/cache/company-analyzer/responses/TICKER_FWID_PROMPT_HASH💰 framework: $0.0000 (cached)Add to ~/.openclaw/agents/main/agent/auth-profiles.json:
{
"profiles": {
"alpha-vantage:default": {
"key": "YOUR_API_KEY"
}
}
}
Free tier: 25 API calls/day
Already configured via OpenClaw auth profiles.
All analyses saved to assets/outputs/:
TICKER_01-phase.md through TICKER_08-risk.md(Synthesis phase removed for cost efficiency)
| Mode | Time | Cost | |------|------|------| | Sequential (old) | ~20s | $0.04 | | Parallel (8 frameworks, unlimited) | ~4s | ~$0.045 | | Parallel (Gemini 2.0 Flash) | ~5s | ~$0.003 | | Cached | ~1s | $0.00 |
Gemini 2.0 Flash Benefits:
**"Alpha Vantage rate limit":
Framework failures:
assets/outputs/ for partial resultsMachine 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/akira9000bot-company-analyzer/snapshot"
curl -s "https://xpersona.co/api/v1/agents/akira9000bot-company-analyzer/contract"
curl -s "https://xpersona.co/api/v1/agents/akira9000bot-company-analyzer/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 5d 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/akira9000bot-company-analyzer/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/akira9000bot-company-analyzer/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/akira9000bot-company-analyzer/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/akira9000bot-company-analyzer/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/akira9000bot-company-analyzer/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/akira9000bot-company-analyzer/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-16T23:51:07.922Z"
}
},
"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": "fail",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:fail|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": "Akira9000bot",
"href": "https://github.com/Akira9000bot/company-analyzer",
"sourceUrl": "https://github.com/Akira9000bot/company-analyzer",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/akira9000bot-company-analyzer/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/akira9000bot-company-analyzer/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/akira9000bot-company-analyzer/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/akira9000bot-company-analyzer/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 company-analyzer and adjacent AI workflows.