AI Agent Marketplace Registry | AI Agent Directory | AI Agent Index Repo | AI Agent Search Engine for Public Available AI Agents Community
Project description
# AI Agent Marketplace Index| AI Agent Directory | AI Agent Store to Host All Available AI Agents | OneKey AI Agent Router | Agent Moneytization
Github|Huggingface|Pypi | Open Source AI Agent Marketplace DeepNLP|Agent RL Dataset
This is the official github repo for pypi package ai_agent_marketplace https://pypi.org/project/ai-agent-marketplace. The repo Open Source AI Agent Marketplace and deepnlp.org website AI Agent Marketplace Store & Search Engine aims to provides a public repo and index of more than 10K+ AI Agent information from 30+ categories in the communities, such as autonomous agent, chatbots, Computer and Mobile phone use agents, robotic agents, and various industries such as business, finance, law, medical or healthcare, etc. The directory are updated to websites from both public repo (github/huggingface) as well as AI Agent services in cloud service provider (Microsoft Azure AWS, Copilot, OpenAI Agent app Store GPT Store, Google Cloud, etc).
AI Agent Marketplace Distribution By Category
We would like to help developers and end users within the lifecycle of AI agent development. From the registration, deployment, Agent router, API calling, metric/traffic tracking, and finally to the stage of moneyterization from your AI Agent. Anyone can submit their AI agents card information, code, APIs, pricing plans to the public registry, just like your submit a paper to arxiv.org and submit models to huggingface.co.
graph LR
Dev[Developers]--> A[AI Agent/MCP Development] --> B[Deloyment] --> C[AI Agent Registry to Marketplace] --> D[Agent Search and Exploration]
U[Users] --> R[Agent Router & Data Tracking] --> F[API Billing System] --> G[Feedback Comments & Discussion] --> H[Moneytization]
Main Features
- AI Agent Registry: You can submit your AI Agent's meta to the Official AI Agent Marketplace Registry directly on website or using various methods (python,nodejs, curl, etc). After submitting your AI Agent meta and approval, community will find your AI Agent in each categories. We also host available submission from various agent store or build in any infrastractures, such as OpenAI Apps SDK, Claude MCPs, etc.
- AI Agent Search Engine and Search API: Users are able to search and explore your AI Agent through AI Agent Search Engine and you can also access the AI Agent Meta Index through Search API and MCP servers also.
- OneKey Agent Router: OneKey Agent Router aims to router users' request to your AI Agent or MCPs' registered http APIs using only one access key authentication, which can help users simplify their registration process. We initialize a OneKey revenue sharing credit plans to help you gain from the free-tier users.
- Traffic Tracking: Traffic tracking service to your AI Agents, ranging from API calls from the OneKey Router,GitHub Stars,Google/Bing search engine rankings,
- Users Genunie Reviews & Discussion: Users can sort the AI Agent meta by reviews, ratings and find good AI Agent of different categories.
- AI Agent Moneyterization: Getting payment account for your AI Agent is not easy, we provides Stripe, Alipay, Credit card payment methods based on a unified credit charging system and and you can gain credits in your billing account from users' request. You can purchase datasets, call LLM and commercial MCPs (Google Maps, Google Search, etc) and withdraw.
- Dataset for Research: We provide full snapshot of AI Agent Marketplace dataset periodically back to the community on Huggingface, so researchers can track the growth.
AI Agent Marketplace and Search Engine
AI Agent Registration
AI Agent Calls Credit Usage
Traffic Tracking
OneKey Router
Users Genunie Reviews
Short Cut to AI Agent Marketplace Markdown
Usage
- AI Agent Registry
List of Methods that you can register your AI agent
| method | usage |
|---|---|
| Website | Visit the official AI Agent registry |
| curl | Support to Submit your Github Repo contents to the marketplace |
| python | Install packages pip pakcage ai_agent_marketplace |
| nodejs | TBD |
Curl
Best suitable when you already put your AI Agent introduction on github and you can just curl to the registry.
Let's say you want to submit an MCP github repo, we use the markitdown repo for example: https://github.com/microsoft/markitdown.
Firstly, get the keys from Keys Generation generate AI_AGENT_MARKETPLACE_ACCESS_KEY as developer.
curl -X POST https://www.deepnlp.org/api/ai_agent_marketplace/registry -H "Content-Type: application/json" -d '{"github":"https://github.com/microsoft/markitdown", "access_key":"{AI_AGENT_MARKETPLACE_ACCESS_KEY}"}'
Python
Install
pip install ai_agent_marketplace
Get Keys and Register your AI Agent
export AI_AGENT_MARKETPLACE_API_KEY={Your API Key}
submit your AI Agent
import ai_agent_marketplace as aa
import json
def publish_your_agent():
"""
access_key can be obtained from your personal page:
www.deepnlp.orgworkspace/my_ai_services
once you submit, it's pending approval and you can track the data then
get your access_key from http://www.deepnlp.org/workspace/my_ai_services
"""
access_key = "${your_access_key}"
name = "My First AI Agent"
item_info = {}
item_info["content"] = "This AI Agent can do complicated programming work for humans"
item_info["website"] = "https://www.my_first_agent.com"
item_info["field"] = "AI AGENT"
item_info["subfield"] = "Coding Agent"
item_info["content_tag_list"] = "coding,python"
result = aa.add(access_key=access_key, name="My First Agent", item_info=item_info)
url = result["url"] if "url" in result else ""
msg = result["msg"] if "msg" in result else ""
print ("## DEBUG: AI Agent Marketplace Post msg is|%s" % str(msg))
print ("## DEBUG: AI Agent Marketplace Post url is|%s" % str(url))
publish_your_agent()
- AI Agent Search Engine and Search API:
We provides both API and python package wrapper
import ai_agent_marketplace as aa
import json
def search_ai_agent_traffic_data():
result = aa.search(q="Coding Agent Jetbrains")
print ("## DEBUG: search result is|%s" % str(result))
result2 = aa.search(q="Coding Agent", limit=20, timeout=5)
print ("## DEBUG: search result is|%s" % str(result2))
result3 = aa.search(q="", limit=20, timeout=5)
print ("## DEBUG: search result is|%s" % str(result3))
search_ai_agent_traffic_data()
For example, we use the AI Agent MCP server Google Maps MCP Servers as example.
The unique_id should follow the same /{owerid}/{item-id} format
{
"unique_id": "google-maps/google-maps",
"content_name": "Google Maps MCPs",
"content": "Google Maps MCPs provides Location Service to support various APIs..."
"category": "Map",
"field": "MCP SERVER",
"subfield": "Map",
"website": "maps.google.com",
"content_tag_list": "official,maps,location",
"github": "https://github.com/modelcontextprotocol/servers/tree/main/src/google-maps"
}
NodeJs
TBD
- OneKey Agent Router
Try Web App of Onekey API Router Agent
- Traffic and API Usage Tracking
Key Metrics
Some of the key metric that DeepNLP AI Agent Marketplace monitors include:
- Bing/Google search result ranking
- IOS Android App Store Ranking
- Github Repo Ranking
- etc
You can visit DeepNLP AI Agent Marketplace and Directory to find more.
Search Ranking Performance
Suppose you want to find out some suitable AI Employees which can help you write reports or emails, schedule meeting, write codes, etc. You may use Google or Bing to search keywords like "AI Agent Employees", "Report Writing Agents", "Coding Agents", etc. And DeepNLP AI Agents Marketplace helps you monitor the AI Agents search results ranking. You can navigate to the "Email writing" tab of the AI Agent Directory and see the top reviewed AI Agents and its latested Bing Search Ranking.
And you can navigate the Email Writing AI Agents Directory and find out some top rated AI Agents in Email Writing such as
-
mailmeteor.com Bing Search Rank 2.0
-
galaxy.ai Bing Search Rank 3.0
The metric of Bing search results of AI agents are calculated on various related keywords and updated daily. And you can monitor the daily trends of fast growing AI agents.
Github Performance
Some of the AI Agents are public available and you can use github to help you track the performance and help you find the best open source AI agents. You can visit the AI Agent Directory of Coding Agents and help you monitor the performance such as github repo stars. List of AI Coding Agent
Can you can find the popular stared Github projects such as:
Dataset and API to Access the AI Agent
|Snapshot| Dataset | | 2025-10 | https://huggingface.co/datasets/DeepNLP/AI-Agent-Marketplace-Index |
Contributing
Please contribute to the AGENT.md to include links and introduction to your repo.
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