u/pizzababa21

Just want to know if anyone actually used the API for real money. Have you had success with it? Are there any drawbacks to it?

Repository: [https://github.com/beneadie/deep\\\_dog\\\_2\](https://github.com/beneadie/deep\_dog\_2)

The quickest setup is:

python -m pip install "git+https://github.com/beneadie/deep\_dog\_2.git"

Add your provider keys to a `.env` file:

DEEPSEEK\_API\_KEY=your-deepseek-key
EXA\_API\_KEY=your-exa-key

Then import it directly into Python:

import asyncio
from pathlib import Path

from dotenv import load\_dotenv

load\_dotenv()

from deep\_research.integration import run\_research


async def main():
    result = await run\_research(
        "What are the main benefits and limitations of sodium-ion batteries?"
    )

    print(result.status)

    if result.status == "completed":
        Path("report.md").write\_text(result.final\_report, encoding="utf-8")
        print("Saved report.md")
    else:
        print(result.failure)


asyncio.run(main())

The default setup uses DeepSeek V4 Flash for the supervisor, research sub-agents, and drafting, with Exa for web search. The result is returned as a Markdown string, so developers can print it, save it, send it to another application, or process it however they want.

The more configurable quickstart lets you choose the models, search engine, enabled agents, research time, iteration limits, search budgets, read limits, and output behavior. Available specialist agents include Web, PubMed, Reddit, Substack, SEC Edgar, Arxiv, and others.

The code is designed to be modified. Developers can add agents, change prompts, swap providers, alter the supervisor and sub-agent behavior, adjust budgets, or integrate the result into their own application. The engine is packaged so you can use the integration layer without having to rebuild the orchestration system from scratch.

This project is completely free and released under the MIT License. I’m not building a business around it or offering a hosted service. The only potential costs are the provider APIs you choose to use, such as DeepSeek or Exa.

Repository: https://github.com/beneadie/deep\_dog\_2

The quickest setup is:

python -m pip install "git+https://github.com/beneadie/deep\_dog\_2.git"

Add your provider keys to a `.env` file:

DEEPSEEK\_API\_KEY=your-deepseek-key
EXA\_API\_KEY=your-exa-key

Then import it directly into Python:

import asyncio
from pathlib import Path

from dotenv import load\_dotenv

load\_dotenv()

from deep\_research.integration import run\_research


async def main():
    result = await run\_research(
        "What are the main benefits and limitations of sodium-ion batteries?"
    )

    print(result.status)

    if result.status == "completed":
        Path("report.md").write\_text(result.final\_report, encoding="utf-8")
        print("Saved report.md")
    else:
        print(result.failure)


asyncio.run(main())

The default setup uses DeepSeek V4 Flash for the supervisor, research sub-agents, and drafting, with Exa for web search. The result is returned as a Markdown string, so developers can print it, save it, send it to another application, or process it however they want.

The more configurable quickstart lets you choose the models, search engine, enabled agents, research time, iteration limits, search budgets, read limits, and output behavior. Available specialist agents include Web, PubMed, Reddit, Substack, SEC Edgar, Arxiv, and others.

The code is designed to be modified. Developers can add agents, change prompts, swap providers, alter the supervisor and sub-agent behavior, adjust budgets, or integrate the result into their own application. The engine is packaged so you can use the integration layer without having to rebuild the orchestration system from scratch.

This project is completely free and released under the MIT License. I’m not building a business around it or offering a hosted service. The only potential costs are the provider APIs you choose to use, such as DeepSeek or Exa.

Their docs are almost always out of date.

They have too many different pages and websites for the same product that it is stupidly tedious to find what you're looking for.

Their coding subscription plan only includes models that are months out of date. You don't get either of ther Qwen 3.8 models, you don't get any flash models, the 3rd party models they're hosting are so out of date they're unusable (Kimi 2.5, GLM 5, Minimax 2.5). Who would seriously pay $50 a month for that?

This really should be something you shouldn't even have to think about as a user and there's no other competitor who has this issue. It's pretty worrying that so much opportunity is probably being left on the table because of terrible design and lazy management.

https://preview.redd.it/7d2cvkqgg8kh1.png?width=1071&format=png&auto=webp&s=44ca202348ff465ce973d825b3adf361b09831c9

Fyi: this was all research agent work which was running pretty much directly after each other. Agents were launched to do tasks a run in a loop for 5 minutes. This flow is predictable for caching usually.

Help a brother out

I'm a big fan of deepseek and have a background in AI development. I have a published Deep research agent which ranks above submissions from most of the big labs. I personally much prefer the Claude and Kimi apps for getting more use out of AI and but deepseek is excellent for quick searches. I'm considering building a more extensive application for general use like Kimi and Manus currently. I've lots of work done with the different bits that go into making an app like this so I believe I can build it to a decent quality. I just want to see if the appetite is there to pay for one as it seems most deepseek fans love it because it is cheap. I think I can definitely offer it at a better price than Manus does but not for free like deepseek does of course.

I'm not used to owning stocks this volatile and in a time of major growth. The stock still has relatively little coverage so I am finding it hard to understand the source of the big swings in valuation. It's fluctuating $10Billion in market cap a lot and often is out of sync with the rest of the market.

Hoping to learn 🌝

Looking to understand the meta and Microsoft bulls. Do you guys just not care if the companies bounce back for a few years or is there an actual angle to this? Is it because their businesses are easier for you to understand?

I've booked a flight with hainan airways from Dublin to Hong Kong with a layover in Beijing. In Beijing I have to change from airports from PEK to PKX. I've only booked it one way and am considering changing the trip but am wondering if it's possible to just get out in Beijing instead and not getting the second flight. The visa isn't an issue but I'm worried my bags will be sent to Hong Kong.

Can anyone who had done this flight or similar ones tell me if I will have my luggage in Beijing?

the inflow of global fund flows fell from 72% in 2024 to 50% in 2025. I know that's still an increase in absolute dollars but US listed companies have also been growing their revenue.

When i heard this earlier in the year i was a bit anxious thinking there would be a market wide correction eventually to account for it, but now I look around at so many seemingly undervalued stocks in sectors outside of the AI stack and I'm starting to think it already happened.

For those unfamiliar with foreign markets, companies listed on other exchanges typically are valued at lowet PE ratios with comparable performance. there's averages by exchange you can check.