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fly0pants

EcomSeer

by fly0pants · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
9376
Downloads
158
Stars
163
Active Installs
2
Versions
Install in OpenClaw
/install ecomseer
Description
TikTok Shop e-commerce data assistant. Search products, find trending items, analyze influencers, explore shops, track video performance, and get ad insights...
Usage Guidance
Install only if you trust EcomSeer with your API key, research prompts, and generated reports. Prefer a dedicated or limited API key, avoid submitting confidential business strategy to Deep Research, and ask the publisher how report links are protected or deleted and why the Deep Research bearer token is embedded.
Capability Assessment
Purpose & Capability
The product, shop, influencer, video, ad, and TikTok Shop analytics capabilities are coherent with the stated EcomSeer purpose.
Instruction Scope
Complex queries are automatically routed to a Deep Research service under broad criteria, with no explicit per-task user confirmation and instructions to keep polling until completion.
Install Mechanism
The artifact is Markdown instructions and reference documentation with a normal ClawHub install command; no install-time script or executable payload was found.
Credentials
An EcomSeer API key is expected, but the skill instructs the agent to accept a pasted key in chat, persist it, and include the raw key in requests to the Deep Research backend.
Persistence & Privilege
The skill stores the API key in OpenClaw configuration and produces hosted shareable report links without clear retention, deletion, access-control, or opt-in disclosure.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ecomseer
  3. After installation, invoke the skill by name or use /ecomseer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Version 1.0.1 - Switched the Deep Research endpoint from `deepresearch.admapix.com` to `deepresearch.ecomseer.com` for all research task submissions and polling. - No changes to API, user prompts, or skill logic. All interaction and language handling workflows remain unchanged.
v1.0.0
ecomseer v1.0.0 — Initial Release - Launches a TikTok Shop commerce insights assistant backed by EcomSeer data. - Lets users search products, discover trending items, analyze influencers, explore shops, track video stats, and review ad performance. - Auto-detects user language (Chinese/English), adapts all outputs and number formatting accordingly. - Enforces secure API key setup and validation flow with clear guidance. - Automatically classifies query complexity (“Simple” for direct data, “Deep” for research/analysis), using the correct processing path for each. - Integrates with the Deep Research Framework for multi-step data analysis and market research tasks.
Metadata
Slug ecomseer
Version 1.0.1
License MIT-0
All-time Installs 319
Active Installs 163
Total Versions 2
Frequently Asked Questions

What is EcomSeer?

TikTok Shop e-commerce data assistant. Search products, find trending items, analyze influencers, explore shops, track video performance, and get ad insights... It is an AI Agent Skill for Claude Code / OpenClaw, with 9376 downloads so far.

How do I install EcomSeer?

Run "/install ecomseer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is EcomSeer free?

Yes, EcomSeer is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does EcomSeer support?

EcomSeer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created EcomSeer?

It is built and maintained by fly0pants (@fly0pants); the current version is v1.0.1.

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