What makes Deep Research notable?

8K downloads. Trust evidence available

How should Deep Research be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

agentCLAWHUBUnverified

Deep Research

AI deep research powered by CellCog. Market research, competitive analysis, investment research, academic research, due diligence, literature reviews with citations, financial analysis, crypto research, news intelligence. Multi-source synthesis across hundreds of sources. #1 on DeepResearch Bench (Apr 2026). Skill: Deep Research Owner: cellcog Summary: AI deep research powered by CellCog. Market research, competitive analysis, investment research, academic research, due diligence, literature reviews with citations, financial analysis, crypto research, news intelligence. Multi-source synthesis across hundreds of sources. #1 on DeepResearch Bench (Apr 2026). Tags: latest:1.0.20 Version history: v1.0.20 | 2026-08-24T02:01:0

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

8.0k

Updated

Oct 9, 2026

Version

1.0.20

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 8K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 8K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.20release · observed Aug 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:deep-research-cellcog

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
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.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-deep-research-cellcog/snapshot"

Documentation

CLAWHUB

110,729 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: deep-research-cellcog
description: "AI deep research powered by CellCog. Market research, competitive analysis, investment research, academic research, due diligence, literature reviews with citations, financial analysis, crypto research, news intelligence. Multi-source synthesis across hundreds of sources. #1 on DeepResearch Bench (Apr 2026)."
author: CellCog
homepage: https://cellcog.ai
metadata:
  openclaw:
    emoji: "🔬"
    os: [darwin, linux, windows]
    requires:
      bins: [python3]
      env: [CELLCOG_API_KEY]
dependencies: [cellcog]
---
# Deep Research - Powered by CellCog

**#1 on DeepResearch Bench (Jul 2026 — rankings change frequently, see live leaderboard for latest).** Your AI research analyst for comprehensive, citation-backed research on any topic.

Leaderboard: https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard

## How to Use

For your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.

**OpenClaw (fire-and-forget):**
```python
result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="team",
)
```

**All agents except OpenClaw (blocks until done):**
```python
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="team",
)
print(result["message"])
```


---

## What You Can Research

### Competitive Analysis

Analyze companies against their competitors with structured insights:

- **Company vs. Competitors**: "Compare Stripe vs Square vs Adyen - market positioning, pricing, features, strengths/weaknesses"
- **SWOT Analysis**: "Create a SWOT analysis for Shopify in the e-commerce platform market"
- **Market Positioning**: "How does Notion position itself against Confluence, Coda, and Obsidian?"
- **Feature Comparison**: "Compare the AI capabilities of Salesforce, HubSpot, and Zoho CRM"

### Market Research

Understand markets, industries, and trends:

- **Industry Analysis**: "Analyze the electric vehicle market in Europe - size, growth, key players, trends"
- **Market Sizing**: "What's the TAM/SAM/SOM for AI-powered customer service tools in North America?"
- **Trend Analysis**: "What are the emerging trends in sustainable packaging for 2026?"
- **Customer Segments**: "Identify and profile the key customer segments for premium pet food"
- **Regulatory Landscape**: "Research FDA regulations for AI-powered medical devices"

### Stock & Investment Analysis

Financial research with data and analysis:

- **Company Fundamentals**: "Analyze NVIDIA's financials - revenue growth, margins, competitive moat"
- **Investment Thesis**: "Build an investment thesis for Microsoft's AI strategy"
- **Sector Analysis**: "Compare semiconductor stocks - NVDA, AMD, INTC, TSM"
- **Risk Assessme

_meta.json

{
  "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
  "slug": "deep-research-cellcog",
  "version": "1.0.20",
  "publishedAt": 1787536863393
}

skill-card.md

## Description:

AI deep research powered by CellCog for market research, competitive analysis, investment research, academic research, due diligence, literature reviews, financial analysis, crypto research, news intelligence, and multi-source synthesis.

This skill is ready for commercial/non-commercial use.

## Publisher:

[cellcog](https://clawhub.ai/user/cellcog)

### License/Terms of Use:

MIT-0

## Use Case:

Developers, analysts, researchers, and external users use this skill to request CellCog-powered deep research, including market research, competitive analysis, investment analysis, academic literature review, due diligence, and citation-backed synthesis when requested.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Prompts, uploaded context, and generated research requests may be shared with the third-party CellCog service.

Mitigation: Use only if CellCog is trusted for the intended data; avoid secrets, regulated data, or sensitive business information unless approved.

Risk: The skill depends on the external cellcog package and CELLCOG_API_KEY setup, creating normal install and supply-chain exposure.

Mitigation: Prefer pinned package versions, reviewed release sources, and standard credential handling for CELLCOG_API_KEY.

Risk: Citations are not automatic, so research output may omit source links unless requested.

Mitigation: Ask for citations explicitly and review cited sources before relying on outputs for high-stakes decisions.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/cellcog/skills/deep-research-cellcog)
- [CellCog Homepage](https://cellcog.ai)
- [DeepResearch Bench Leaderboard](https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard)

## Skill Output:

**Output Type(s):** [Text, Markdown, Code, Configuration, Guidance, Files]

**Output Format:** [Plain response, Markdown, PDF report, or interactive HTML report depending on the prompt]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Can include charts, tables, timelines, market maps, and source citations when explicitly requested]

## Skill Version(s):

1.0.20 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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      "category": "vendor",
      "label": "Vendor",
      "value": "Clawhub",
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      "isPublic": true
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      "label": "Latest release",
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  "events": [
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  ]
}

Record generated Oct 9, 2026.

About

Avoid when

Public facts

Install and run

Documentation

Extracted files

SKILL.md

_meta.json

skill-card.md

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Machine-readable data