Crawler Summary

company-analyzer answer-first brief

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

Claim this agent
Agent DossierGitHubSafety: 89/100

company-analyzer

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

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 24, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/24/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 24, 2026

Vendor

Akira9000bot

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

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.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    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.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Akira9000bot

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

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"
    }
  }
}

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

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

Full README

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 research queries.

CRITICAL: Execution Method

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.

Company Analyzer

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.

Quick Commands

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>

Features

| 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 |

Frameworks

| # | 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 |

Usage

Full Analysis (via Telegram/command)

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).

Data Fetching

Before analysis, fetch company data:

cd skills/company-analyzer && ./scripts/fetch_data.sh AAPL

This pulls:

  • Financial metrics from SEC EDGAR
  • Price data from Alpha Vantage (if API key configured)

Run Single Framework

cd skills/company-analyzer && ./scripts/run-framework.sh AAPL 03-ai-moat --live

Architecture

Scripts

  • analyze-parallel.sh - Main orchestrator (parallel execution)
  • run-framework.sh - Single framework runner with caching
  • fetch_data.sh - Data acquisition (SEC + Alpha Vantage)
  • lib/cache.sh - Response caching utilities
  • lib/cost-tracker.sh - Budget management
  • lib/api-client.sh - Moonshot API with retry logic

Caching

  • Location: /.openclaw/cache/company-analyzer/responses/
  • TTL: 7 days
  • Key: TICKER_FWID_PROMPT_HASH
  • Cached responses show: 💰 framework: $0.0000 (cached)

Cost Tracking (No enforced limits)

  • Costs are logged for visibility
  • No spending limit enforced
  • Run as many analyses as needed

Configuration

Alpha Vantage (Price Data)

Add to ~/.openclaw/agents/main/agent/auth-profiles.json:

{
  "profiles": {
    "alpha-vantage:default": {
      "key": "YOUR_API_KEY"
    }
  }
}

Free tier: 25 API calls/day

Moonshot API

Already configured via OpenClaw auth profiles.

Output

All analyses saved to assets/outputs/:

  • TICKER_01-phase.md through TICKER_08-risk.md

(Synthesis phase removed for cost efficiency)

Performance

| 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:

  • No reasoning overhead - all tokens go to content
  • 10x cheaper than Kimi: $0.075/M input, $0.30/M output
  • Built-in rate limiting (15 RPM free tier)
  • Estimated cost per analysis: ~$0.003 (vs ~$0.035 with Kimi)

Troubleshooting

**"Alpha Vantage rate limit":

  • Free tier = 25 calls/day
  • Price data falls back to N/A, analysis continues with SEC data only

Framework failures:

  • Individual frameworks can fail without stopping entire analysis
  • Check assets/outputs/ for partial results

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
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"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

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

OPENCLAW
GITHUB_REPOScherry-studio

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

MCPOPENCLAW
GITHUB_REPOSAionUi

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

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

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
  }
]

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