Overview

Product video
Pokee is designed to automate enterprises' most difficult projects and processes. The platform builds and runs workflows with hundreds of tasks, drawing on wide capabilities like internet research, quantitative analysis and slide writing to orchestrate end-to-end solutions to the most complex problems. Pokee is built for enterprises, and can be tailored to match any process, embed expertise & standards, and take action across any app.Pokee's SOTA Deep Research and Ecommerce Strategy Agents are available off-the-shelf, and you can contact us to custom automate your most demanding work.
For access to the Deep Research and Ecommerce Strategy Agents:
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Purchase a contract for monthly Pokee AI credits
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Obtain your API token via. the AWS customer onboarding page
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Call Pokee's API endpoint for report generation/retrieval
Highlights
- Pokee's custom Deep Research and Ecommerce Strategy Agents run sophisticated research & analysis tasks with just a prompt.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
|---|---|---|
[Deprecated] pokee credit | consumption unit in pokee system | $0.004 |
Small Pack | 80,000 monthly credits allows 10 ecommerce reports | $400.00 |
Medium Pack | 400,000 monthly credits allows 50 ecommerce reports | $2,000.00 |
Large Pack | 800,000 monthly credits allows 100 ecommerce reports | $4,000.00 |
Vendor refund policy
"Our goal is your total satisfaction. If you are unhappy with our service, please contact support@pokee.ai within 30 days of your initial purchase. We offer full or partial refunds on a case-by-case basis depending on usage and circumstances. Please include your AWS Account ID and a brief reason for the request."
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Legal
Vendor terms and conditions
Content disclaimer
Delivery details
API-Based Agents & Tools
API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
API
Copy the token you obtain from aws onboarding page and put it into sample request below.
/ecommerce-promo-event-agent-general to kick start a report generation (8k credits per generation, charged only if report generation was successful)
/ecommerce-promo-event-result to query for the result of a report generation (provide workflow_id obtained from the report generation response)
Sample usage
- the in depth report work can take 30mins+ to complete
Resources
Vendor resources
Support
Vendor support
support email: support@pokee.ai
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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A few specifics that stand out:
1. Zero-setup sandbox. Each session runs in its own isolated cloud workspace with a full coding environment (Python, Node, Git) already there. I'm not babysitting a local setup or fighting broken dependencies - I just launch and go.
2. Persistent memory across sessions means I don't have to re-explain context every time. It remembers the project and how I like things done.
3. The integrations that matter to my stack (GitHub, Jira, Google Workspace) are native, so pulling issues and pushing outputs stays inside one place instead of copy-pasting between tabs.
Non-determinism means I still have to verify everything. As a QA person this is the big one - the agent occasionally misreads intent on a fuzzy request or returns a slightly different result run-to-run, so I can't fully trust the output without checking it. For a review or a bug list that's fine; for anything I'd sign off on, it's a manual QA pass every time.
As a QA lead, a big chunk of my week used to go into repetitive, low-leverage tasks - manually clicking through pages to catch UI/UX issues a customer might hit, pulling together research, and writing up findings. PokeeClaw lets me hand those off in plain English: I point it at a URL, tell it what to look for, and it crawls, reasons through the flows, and hands back a structured list. A site audit that took me the better part of an hour is now a few minutes of my time plus some background execution, and it runs while I work on something else. That reclaimed time goes back into the higher-judgment testing that actually needs a human.
The other problem it kills is tool and environment friction. I'm not spinning up a local sandbox, wrestling dependencies, or bouncing between ten tabs to move data around. The isolated cloud workspace with a coding environment and native integrations is just there, and persistent memory means I'm not re-briefing it every session.