API

Clojiroo

First of all, dismissing ChatGPT to a “Chabot” is woefully ignorant and cynicism masquerading as wisdom. That “chat” has many features and it can do actual work. It is a massive productivity booster and the paid level versions are worth every penny. Second OpenAI has a wide variety of other paid features, and goes way beyond the ChatGPT site/app. Their tech underpins GitHub Copilot, maybe the most important AI tech (that companies pay a lot of money for) in software. It’s also embedded in iOS, which Apple is paying for. It’s a set of deployable private models for Azure, which businesses run to power features. And you pay to run that cloud infrastructure. OpenAI also supports an independently charges for API usage and agent building. Thousands of businesses are paying money to OpenAI right now to run their own business.

Farseth

I have personally implemented AI at an organization. While it didn't fully replace a role, it took the maintenance of a user knowledge base from being part of 3 people's jobs to 1 in the first 6 months. I can't prove it with math yet, but it also appears to help people onboard faster. Ultimately, the AI is a GPT chat bot via an API call and some proprietary software.

re-thc

What does OpenAI have to do with the AI "bubble" you speak of? OpenAI isn't the stock market or the stock that's going crazy. It's AI in general. A lot of companies are also vested in other AI ventures e.g. Gemini or Anthropic etc. Also OpenAI offers an API for all enterprises to integrate. That's where the real money will be.

Blotter-fyi

Using API as well

popori

I tried doing this but created a webapp instead and used API calls for input/output. Did you do this via web?

DigitalSheikh

You can just buy HIPAA compliant api access to the current flagship models. With most of them, there’s not even a difference between HIPAA compliant and regular API access to begin with. At least in my shop, we don’t have use cases where doing anything else would be more cost efficient or add capability, and I’d suspect most other healthcare oriented places are the same.   There’s a rumor / perception in healthcare that there are legal concerns about using API’s, but if you’re getting API access from one of the main providers there isn’t a problem. That perception too has been going away over the last year as well imo

DrawingLogical

OpenAI hasn't been in the top three APIs on OpenRouter for weeks now: [https://openrouter.ai/rankings](https://openrouter.ai/rankings) Now, granted, this is likely miniscule compared direct OpenAI API access....but still, it's not exactly a vote of confidence. They have overshot a valuation number they will be able to deliver on.

Prytfbyn4369

OpenAI is the first choice for the majority of the enterprises across the world and the majority of services are using their API. OpenAI is already making a lot of money. That said, the expectations are a bit too high and a small correction is imminent, it will happen to Nvidia what happened to Palantir.

PublicCOO

Thanks! We love the API business and are still actively developing in the area, so we’d love to have you give it a try and let us know what you think!

festusssss

I've requested API access numerous times and gotten zero response.

Scannerguy3000

Do you have an API?

Scannerguy3000

I’ve used Fidelity, IBKR, TastyTrade, and Schwab. 1. Schwab has better fills than the other three. 2. Schwab treats me like an adult and gave me the options level I asked for. 3. Schwab has a free API (actually 2, one for personal transactions and one for market data). I don’t know anything about Public. But I’m closing all my other accounts with other brokers and moving everything to Schwab for these reasons.

Silver_Spare_6796

Ahh gotcha yes the API company Isn’t it a huge red flag that the CEO still intended to dilute shareholder at such lower prices in first place ? They did the same with the SCILEX deal at like 45 cents a share or something … it looks terrible optically

entsnack

The signs of a bubble are all the OpenAI API wrappers that are getting millions in funding (just look at the YC launches of this year). They're like the [Pets.com](http://Pets.com) of the dotcom bubble: products you build on a promising platform (world wide web = AI) that are not really worth the hype. OpenAI, NVIDIA, Anthropic, and the others will stand once the bubble burst. But Design/LM/Text/Whatever Arena and the 100 browser-use and coding agent companies are all going to die.

Prytfbyn4369

They can make quick money by adding a ads system in the same way YouTube or Facebook do, but for them is enough selling API subscriptions rather than user subscriptions.

beach-chicken10

Ok so the deal to purchase API using cash and stock is terminated but the purchase of API is alive and well as my above link. The article you linked is written by an actual retard, well AI but checked by one - “no future plans related to the transaction… in other news there is a definitive agreement to acquire API media l” the below is from the article “No further details regarding the reasons for the termination or future plans related to the transaction were provided in the filing. In other recent news, Datavault AI has announced a definitive agreement to acquire API Media, with the deal expected to close in December”

He-Who-Reaches

[Datavault AI ends agreement to acquire API Media Innovations By Investing.com](https://www.investing.com/news/sec-filings/datavault-ai-ends-agreement-to-acquire-api-media-innovations-93CH-4328757)

Momoware

" work still has to get done to provide said data and complete said end products." - This is normal. In the end AI will just be another step in the toolchain. "Normalize" here means that inference API endpoints will be as common as other APIs and developers won't think twice about them being special (as opposed to now, where AI-native development is seen as different and requiring different approaches). Applications where I've personally been part of / experienced / seen real customers pay for: \- Enterprise data analytics - AI is better at navigating really complex enterprise schema (often not labeled correctly not unclean data) - especially helpful if an analyst is not familiar with a specific data warehouse yet. \- Financial analytics - manipulating formulas and formatting in Excel sheets. Saves people a lot of time if they are not high skilled already. Good boilerplate templates \- Image and video gen - right now it's a lot easier for single-discipline creatives to branch out (for instance, Illustrator taking on Animation work) \- AI music - \^ tied into the above. bgm / sound effects for single-person shop. \- Elephant in the room - code gen - productivity gain for developers; enabling cross-functional roles. \- AI meeting notes - pretty much must-have for back-to-back meeting takers now

Financial-Respond-37

I think you can do this with Alpaca. You can use Alpaca API data to get the options info for certain time frame and then use Alpaca API to get all the data associated with the particular options

Lords3

The bubble only pops if OpenAI can’t prove sticky, high‑margin enterprise revenue; watch margins and retention, not headlines. If/when they file, the tells are: revenue mix (ChatGPT subs vs API vs enterprise), cost of revenue tied to inference/commitments, gross margin trend, cohort retention, and minimum‑commit contracts. A credible path is lowering unit costs (routing to smaller models, caching, distillation), shifting spend to longer‑term compute deals or in‑house silicon, and selling bundles with SLAs, privacy, and audit. Real adoption I’ve seen works when tasks are narrow and workflow‑embedded: support deflection with strict guardrails, code assist for legacy stacks, sales ops Q&A over approved docs. Cost control is prompt templates, token caps, batch jobs, and usage floors. We run Snowflake for warehousing and Azure OpenAI for compliant endpoints, and DreamFactory to generate secure REST APIs from old databases so support bots and agent tools can hit internal records without a rewrite. If OpenAI shows expanding margins and durable enterprise cohorts, the AI trade holds; if not, you get a reset.

theycallmeJTMoney

I’d genuinely be interested to hear your thoughts or experience/examples of value adding (via API or GUI) processes currently being implemented. I see all these concepts and people working connections and creating automated processes but where is the meat and potatoes? What does it replace? The best use case I’ve seen for what you’re describing is reporting and project management, but work still has to get done to provide said data and complete said end products. This is a good faith question.

DiscretePoop

Obsolescence risk is absolutely still an issue especially since the concept of developing IC microarchitecture specifically for AI is relatively new. Nvidia is so well positioned in the market because their CUDA API gave them a headstart by allowing them to leverage existing GPUs for AI. Now, companies (including Nvidia) are developing tensor processing units specifically for AI. At the same time, AI models are being optimized to run faster or with less power. Future AI models optimized for newer processors may not run well on existing hardware. While LLMs and StableDiffusion is impressive, it's not clear that they're even going to be the real money-making engines 5 years from now. Microsoft is spending hundreds of billions on infrastructure with the assumption that current AI models running on current hardware will be what makes trillions in a future market. They're gambling.

Super7vox

My primary concern with OpenAI is that it is a private company. As such, it lacks the mandatory financial reporting and transparency of a public entity. Much of the recent news revolves around its massive hardware expenditures and secondary market stock sales. While OpenAI is undoubtedly a central player in the tech industry, a significant problem remains: we do not know what its primary source of income is. Is this similar to Facebook before its IPO? Perhaps, but even then, Facebook's massive advertising revenue potential was clear. Today, is news of partnerships, like the one with Walmart for customer service, substantial enough to justify its multi-billion dollar valuation? Frankly, it's unclear how OpenAI will become consistently profitable. I don't see corporations rushing to adopt OpenAI for mission-critical automation that *must* be done by AI. While app developers may use its API, and various company departments may experiment with it, these projects still require significant oversight from technical workers. OpenAI may have ample funding to build the largest and most intelligent AI, but without finding widespread, indispensable utility, what is its true value?"

Momoware

AI inference API endpoints are normalized. There's path to profitability in many enterprise and productivity applications. I agree that for personal use there doesn't really exist a solid scenario right now

thrash56

With AWS, one misconfigured API request and they can use up all $38B in a week.

checkArticle36

They're losing 12 billion dollars a quarter. You are only counting the compute not the the several thousand employees it takes to run it, rent, office space. 5 was estimated to be around $1.5-2.7 b. You're falling into an accounting trap, how are they losing 12 billion dollars if it only takes 500 million and their API is profitable given it's the biggest revenue stream. Yes they lose money off the pro version but where is this other money going?

skilliard7

> I think the difference is it costs a lot more to maintain the system than they bring in, I forget the numbers but it’s so strong like $0.36 per search on chat GPT, and a few dollars a search on sora, so the average customer is costing OpenAI a lot of money to provide the service. OpenAI is definitely bleeding money, but the cost per prompt is not that high. if you want to estimate their cost, look at their api pricing. GPT-5 is $10 per 1 million tokens. 100 tokens = ~75 words, which is the approximate length of the average reply. If we assume OpenAI is selling API access with 0% gross margin(to boost adoption), each message costs them about $0.001.

OutsideSpirited2198

Welcome back Enron!! **Tl;dr: Today's tech can already do everything we will be able to make money off it with the right configuration, the business community hasn't found out how to do that yet. Investor expectations are way off track with what the ground business reality is, and once everyone figures out how to use it, costs go down faster than our need for GPUs goes up.** I've been building small scale AI workflows for myself and a handful of small customers. Not to replace human jobs, but to really just ask the question "What the hell can we actually do with this stuff that's going to MAKE MONEY?" I'm not convinced it's anywhere near what Big Tech says it is. Tbh, AI could end up being exactly like Cisco and Oracle. They were once proprietary, closed-source behemoths that pretty much everyone dealt with because they are 1) quick to market and 2) locked large organizations (banks, governments, places that move slow to begin with) into contracts. Then, open-source solutions and public cloud killed their dominance. Larry Ellison infamously shrugged off cloud computing in its early days, and now he has to offer his services at a deep discount to even compete because they were late to the party. Should we trust him with $300 billion of your 401k? Today's AI tech is also remarkably easier to migrate providers on than it would have been to migrate from Oracle to a open-source engine like Postgres. And the cost savings can some cases be enormous. We're talking literal API CALLS vs advanced joins, extensions, stored procedures. Ever heard the joke that every AI startup is just a ChatGPT wrapper? ITS TRUE! I predict most companies will likely switch to open-source alternatives like Deepseek, [Z.ai](http://z.ai/), Qwen, Meta itself has models that can are good enough for probably 80% of business use cases. They can also be hosted in-house on the same tech that is on your laptop, and can be trained on proprietary datasets, something more important than how much OpenAI can charge per token on its API. Sorry, I sound like a lunatic but I'm right.

FlyingBishop

> chatgpt loses money on every generation they literally have said it at API prices? you're making shit up.

Low_Membership4915

Does your website offer an API to query a stock's risk, available shares, and breaking news? I'm willing to pay for this service, thank you.

ecnecn

There is no Amazon partnership... MSAI is using AWS Amazon services such as server hosting and AI/ML testing environment (with control of certain warehouse cams and robots through test API) as client. "AWS Partner" is everyone that uses the AWS Services as client. It is a pure client/provider relationship.

poopmee

Yeah don’t use skylit the price is insane. You can get a subscription to the advanced plan on polygon.io for 200 a month. Then just use chatGPT or Claude to code something with the API and you got your own “heatseaker”. Probably won’t look as good or be without flaws but you will save $500 a month lol

Inevitable-Comment-I

Fuck spez for the API changes. 

schultzapps

I built an app for this called WealthTrunk (iOS). I wanted something that could be exported and shared with my wife. The love Personal Capital and it was an inspiration, but I am worried of what the long-term plan for that product is. I imagine that the costs are very high even though they try to funnel you into their advising products. Unfortunately for most small scale developers apps are manual only because there are API costs to connect to live data, which would make the pricing pretty high, and there no market for it. But I am trying to come up with ways where you can manually update your account accounts faster.

Scannerguy3000

I’ll try to find some of my past posts, I’ve broken down my screener many times. You can find it in my history. Let me go try to dig one up. My Excel spreadsheet is a custom build over 10 months, 30 macros, and a python API interface.

Rare-Energy-4357

Losing capital to a fraudulent program understandably necessitates extreme caution, yet your approach of developing a stringent verification checklist is the most effective way to re-engage with legitimate FinTech opportunities. The primary difference between a scam and a trustworthy automated trading platform lies in custody and transparency: your capital must remain in your regulated brokerage account under your exclusive control, with the platform only granted API access for trading execution, making any request to transfer funds directly to their system a major red flag. Furthermore, legitimate services will offer verifiable proof of performance through independent audit links (like Myfxbook), explicitly detailing the Max Drawdown and risks involved, while avoiding any guarantees of profits (such as a fixed 5% monthly return) or the promotion of Multi-Level Marketing (MLM) schemes, which are hallmarks of financial fraud. Your disciplined process of verifying that a system meets these criteria allowing you to safely utilize automated trading while mitigating risk is the essential due diligence for recovery and success.

-Crash_Override-

I mean, tbf, you dont really need to check back in 2 years...as the graph shows above, its already occured in enterprise API usage.

PapaCharlie9

Keep in mind that market makers and wholesalers are for-profit businesses. They have no incentive to share that information with anyone, let alone their competitors or for free. The closest you can come is per-exchange order books, which integrates the net activity of all the market makers involved in a contract series on that exchange. Which means having some kind of license or access to each exchange in question. Since you only want SPX, that narrows it down to CBOE. The level of access you want might only be available to broker-dealers, so that would mean you'd have to find a client facing API or broker platform that provides that data (insofar as they are licensed by the CBOE to republish such data). Notifying /u/Ken385 for further enlightenment.

Reasonable_Roger

Yeah for mobile I use an app called 'relay'. When all the pay for API calls stuff was going on and they killed old apps like RIF, Relay got popular. I think Relay existed before API calls but it wasn't very popular.. Anyway they decided to keep developing with a subscription model. You can pay $1/2/3 per month for API calls and keep using their app. But to me it's totally worth it. The app is very good and there are zero ads. If you make yourself a subreddit and become the mod of it, you can access NSFW subs. It used to be you couldn't access NSFW subs unless you were the mod of any subreddit.. dunno if that's still the case. But ya.. I pay the $2/mo level which is plenty of API calls for the month. Even if you run over you can upgrade and just pay the prorated difference for the remainder of the month. Just remember to downgrade before the next bill cycle. I just fucking *hated* the official reddit app. It's so dogshit. Paying allows me to have an enjoyable reddit experience on my phone, support this dude making the app, and support reddit. Very worth IMO.

Scannerguy3000

You can use it for all kinds of things. You can automate trades, like custom code your own application to pull data and send data. Personally I’m not that involved. I track all my options trading in my own spreadsheet, and I started by manually entering trades. Then I made macros so I could import CSV files from the broker. Now I pull all my trade data from Schwab’s API, so I don’t have to enter anything manually. And it updates my greeks and prices on all my positions. I still have to use CSV import for Fidelity, which is why I’m in the process of moving out of there and get everything into Schwab.

Financial-Space-2835

What do you use the API for?

Scannerguy3000

Schwab treats you like an adult if you want high options levels. And they have an API that any individual can use. Great fills also.

kam_L

**Who Provides Dealer/Market Maker Order Book Data?** I'm looking for data providers that publish dealer positioning metrics (dealer long/short exposure) at minutely or near-minutely resolution for SPX options. This would be used for research (so historical) as well as live. Ideally: 1. Minutely (or better) time series of dealer positioning 2. API or file export for Python workflows 3. Historical depth (ideally 2018+), as well as ongoing intraday updates 4. Clear docs I've been having difficulty finding public data sets like this. The closest I’ve found is Cboe DataShop’s Open-Close Volume Summary, but it’s priced for large institutions (meaningful spans >$100k to download; \~$2k/month for end-of-day delivery, not live). I see a bunch of data services that are stating they have "Gamma Exposure of Market Maker Positions", however, upon further probing, it really seems that they don't actually have Market Maker Positioning, and instead have Open Interest that they make assumptions on (assuming Market Makers are long all calls and short all puts). I have been reading into sources talking about how to obtain this data, however, I simply can not find any data providers with this data. Brief background: 25M, technical (physics, stats, cs). Building systemic volatility research stack

Shensmobile

It’s wrong for me as wrong as reported by the API. Lots of my % changes in my widgets are totally off.

optiontrader1138

I was using Kubera and it's API because it does one thing and does it well. Or used to. It's now been two weeks since I reported that their feeds are not working correctly. My emails bounce between one random Indian support rep after another, one of whom is incredibly rude. Can no longer recommend.

Clear_Anything1232

Goog is the only big company that's spending on ai with any level of foresight They literally are building capacity to sell it in various forms Gemini API To Meta and anthropic as tpus As Gemini app On top of that building data centers in cheap ass locations like india

tjinga2u

There's a Python modules that can work with Robinhood API, can link it to a butt plug so next time our savior Jerome Powell speaks you can take it personally 😉

HasFiveVowels

You’re asking chatgpt what the current date is and it doesn’t tell you the right answer? This is not behavior you should expect from an LLM model but ChatGPT conversions start with "the current date is ___". Are you using the API by chance? There’s no way it’s answering this question incorrectly. If it is, I’d be interested to get more context on what you’re doing. This is not typical behavior.

JorginJargin

"I'd compare the fidelity output of AI to what you'd be willing to pay someone to pull the same information/provide a response" I agree but asking an expert shouldn't cost 40B a quarter, and do we really want to put experts out of their jobs, to become entirely reliant on systems under the control of literally a handful of people? AI systems MAY help disseminate information to people and generate productivity but only if its accessible, as in available and free. Most people won't or can't pay for an API key so the promises of "expanding human productivity" are illusory.

Money_Reserve_791

Start small: pick one ticker, one metric, ship a tiny chart. Use yfinance to pull data, Jupyter to test, and DreamFactory to expose a simple API for dashboards. Automate one win, then scale to harder datasets

jglenn9k

There is no grand unifying API. Login to each place you have money or owe money and write down the number. Use SUM(). I have one bank, two stock accounts, three credit cards, and a car loan. Takes like 10 minutes to type in numbers twice a month.

putdownthekitten

Yes! It’s free on the Sheets end (your API of choice may charge an access fee), but Google App Script is VERY powerful. You can set up triggers so you get the data, say, once a day between 2-3a for example. You can link functions to drawings to make button for an entire GUI if you want. You can have tabs talk to each other, you can have seperate files talk to each other. It can talk to your calendar, email, Google Drive. You can set up a free web app that gets fed the data from your sheet. No cost, comes with your google account. Also, AI is very good at using Google App Script, so it can do the heavy lifting now, saving you HOURS of learning how to do simple things, like make a button that moves a value from one cell to another in a completely different file. This is a superpower you need to learn if you want any kind of robust tracking system. Be careful though, cause you know what they say. With Great Power, and all that jazz…

GameKing505

What’s with all the spreadsheet answers? How are you keeping them updated to reflect the latest prices or your buying/selling activity?? Is there some way to pipe in that data via API? I feel like I’m taking crazy pills but using excel for this task seems ridiculous.

diagnosedADHD

No real product or service, no hardware sales. Microsoft: Windows, Office, LinkedIn, Xbox (Activision), azure cloud, etc, etc OpenAI: Chat interface, API chat interface

SheriffBartholomew

Meaning the API is more useful? I've been using ChatGPT and Claude at work for 3 years already, and Gemini isn't even an option. I've created a ChatGPT API utility in my free time just to test it out a couple years ago and it was easy. From my experience the other AI systems have a massive headstart over Google, and lots of enterprise integration already. I'm not sure what "more user-friendly" means in the context of your statement. Can you clarify? I'm sure Google will iron out the bugs and other issues with their AI. They certainly have the resources. That, or they'll pull the plug completely like all of their other useful projects.

Clear_Anything1232

Open ai has 6B tokens per minute on its api Gemini is already processing 7B tokens per minute on their API. Their corporate clients are slurping it up. Goog at 29 pe is still a steal

Crazykirsch

>OpenAI is investing hundreds of Billions in improving its product. Anyone who relies or utilizes OpenAI products daily could not say this with a straight face. 5.0 has been an unmitigated disaster to the point they were forced to offer the legacy models after massive outcry when the 5.0 launch removed them. On the Sora side while 2.0 video capability is impressive they're years into public access and cannot provide a functional UI with most of the basic HTML issues like ghosting and a completely broken library/trash. Meanwhile Stable Diffusion continues to narrow the gaps in capability and user-friendly GUIs and API's are flourishing.

kerwrawr

Ok the actual correct answer is API access. No SME is going to be willing or able to build and train their own LLM, so they hook up to chatgpt via API to do their AI processing for them.

serendipity777321

Competion drives down token API prices

shasta747

Good god, hope this trade works out for you regard. So what priced in before were DAU/ARPU metrics PLUS its data being used by LLMs, now if Google doesn't rollback API changes, you think OpenAI and others to start paying RDDT for data? That's the only way it can get back to the hype it had IMO.

ChainOfThot

They don't care though. They'll sell it via API and make all their money there

thunderboxer

Hey what catalysts are you eying for Reddit? It seems almost certain that they will be able to charge more for API access. There’s an ongoing lawsuit between reddit and perplexity, claiming perplexity scraped Reddit data without permission. I’m following the case because I think it will set a precedent for LLM’s and their API access. If I could buy stock in pushshift I totally would. I feel like Reddit may enable pushshift data for commercial use at a price, and a high one.

Pvt_Twinkietoes

lol. They're probably using Google's API

VanillaLifestyle

Depends on the company, by for the model labs and cloud providers, most of the money is expected to come from API services to other companies. I believe it's already where they make most of their money. Think of all the random back office corporate tasks that could be performed by an LLM with a few guardrails, or at least accelerate a competent human. If you run a sales team, you can use it to analyze all the sales calls, categorize themes, flag bad employees (Gong.io sells the SaaS product but it probably runs on LLM tokens from a Cloud supplier). If you run a tech support team, you can do similar. Auto-draft or respond to tickets, categorize feedback, etc. Service now does this (and their office is literally across the road from NVIDIA).

sillychillly

I think API usage is the real money maker for LLMs. Once companies establish technical debt, it’ll be hard to move off the LLMs, especially off the jump when LLMs are more finicky and companies are afraid of slight changes

GoZukkYourself

Alphabet CEO Sundar Pichai: "Our first party models, like Gemini, now process 7 billion tokens per minute, via direct API use by our customers."

Flying_Spaghetti_

Sorry I am not just making API calls from one thing to another. There is a lot of extra logic going on. Its kind of complicated but it works great for the niche we are in and saves us a lot of time on the easy but time consuming stuff that you just want out of the way. I get what you are saying. I don't think the actions AI makes today are what's worth their valuation. Its the future value that people are investing in. I'm just saying its far from worthless today and it absolutely can save enough time to reduce team sizes. Not replace teams, but make teams smaller. That's big $$ when your biggest expenses are salaries.

chaosdemonhu

I mean I wouldn’t call making API calls “custom code.” It’s boiler plate. Everyone calls the same APIs the same way because the contract is defined by the API. Especially if it’s a big company’s API like Google. It’s the business logic before and after the API call on both ends that drives the value and does the work and AI has not been doing a great job of making my life easier or simpler there and it being in that part of the code base has actually made my productivity worse in many cases. If I gave it some API docs, example requests and responses yeah it can scaffold out the code that will handle that piece for me and that saves me time on menial coding but for me it’s not such a time saver that it’s worth the valuation of these AI companies. Also idk what’s taking you days to write out an API call especially in a script? If it’s even half well documented you should be able to crank out a script and have it tested in a day imo

chaosdemonhu

This is all what I would describe as “basic” or boiler plate code though. Talking to an API is the easiest part of the system. It’s what you do with the data before and after that’s the actual challenging work

Flying_Spaghetti_

Yeah but you also have to be real and realize that not all coding is the same. I use ChatGPT to write scripts on a regular basis and it saves me a ton of time. I am a programmer analyst and moving data between systems that dont normally talk to each other is what I do. I have used ChatGPT to write tons of parts of small scripts that I easily could have done but would have taken longer. I just say something like I have API key saved in $KEY and link it to the API doc and have it create functions to interact with that API. Or give it the values of an example object and have it write the logic use that data. Just a little back and forth and its spitting out custom functions that work on the first or second try interacting with APIs scripting all kinds of things. Just last week I had it create an entire PowerShell module I needed for interacting with the Google API. It was able to walk me through creating a project and getting the keys in Google admin, then created the authentication functions including finding all the correct scopes. Then one after another I ask for a function that does something and it spits it out. Its mind blowing how good it is at small coding tasks when you have a good use case for it.

Flying_Spaghetti_

Yeah I 100% agree. I use ChatGPT to help write code all the time. It's made my scripting tasks so much easier. For example I needed to interact with the Google API in PowerShell for several things and with a little back and forth I got enough context in the chat to where I can just ask it for a function that does what is needed like creating an account and it does it. I made an entire Google API module in PowerShell that works amazingly all in a couple hours one morning. That would have taken me a couple days at least before.

Forsaken-Data4905

You're completely ignoring anything enterprise-related (i.e. API revenue) which is likely to blow up over the same period.

WhitePantherXP

I can interface with complex API's in seconds (or minutes) that normally takes hours, I can build at least 5x as quickly as I could before in most areas of development. This has allowed me to put some incredible capability into the company I work for. I don't even diagnose client servers by hand, my AI workflow logs in and analyzes them in seconds, determines the solution, and updates the ticket (I approve the message because as you mention AI isn't perfect or doesn't always have full context). I am working on the guardrails to allow this AI tooling to actually solve the server issues before I let it run off and do any write-level commands, but it's a few days away. Our engineering dashboard is legit now and I would have never finished with all the day to day bs I had to deal with before. And I'm one person who developed everything, I keep the AI workflow to myself but the dashboard and features I've implemented elsewhere we all enjoy. Turned our relatively small company into a very competitive one. To imply it's gimmicky is not a good faith argument. It's a force multiplier, and it makes average developers extremely powerful.

PettyProfessional

Calling Google and Meta a middle man company is fucking outrageous. Uber literally wouldnt have existed without Google's API. People are the direct customers for META. I have no idea what you are talking about.

mountaineer6662

https://optionomics.ai offers an API to access historical options data, but it’s not free. They also don’t provide an S3-like API. However, their data is rich in features.

BrocoLeeOnReddit

Yes, it can seem that way and there are good systems out there. But it's essentially just a speech to text system feeding your words into an LLM, which itself has an MCP connection to tools, workflows, databases etc.. MCP is basically an API protocol specially designed to interact with AI agents but it only has a predefined set of things it can do, just like any other API, it's not "intelligent" or something. Someone manually defined all the actions the agent can perform on the backend. Don't get me wrong, if you find the right use cases for such systems (which seems to have been the case in your example), they are really good, but they are not revolutionary yet, and especially not as revolutionary as AI companies want you to think. If you're into tech and interested, you can read a bit about MCP: [https://modelcontextprotocol.io/docs/getting-started/intro](https://modelcontextprotocol.io/docs/getting-started/intro)

BrocoLeeOnReddit

Sure, if you think a more sophisticated answering machine is worth those evaluations, be my guest. I for one don't think it's nearly as valuable as long as AIs are mostly LLMs with some API connections and slop machines. Maybe I change my mind as soon as the next breakthrough happens but the current stuff is really not that significant compared to the investments in hardware it requires. There's a reason none of the bigger AI companies have posted a profit yet.

jubilantBeatbox

The only name I have seen just as much as NVDA today is DVLT: This thing is a catalyst machine. "**Datavault AI (Nasdaq: DVLT)** announced it has entered into a definitive agreement to acquire **API Media** in an all-cash transaction expected to close in **December 2025**. The deal keeps the **API** brand and aims to combine Datavault’s patented data tokenization and monetization technologies with API’s audio/visual and event-focused solutions. The companies say the acquisition will expand Datavault’s AI-powered capabilities, broaden its recurring-revenue base, and enhance enterprise data activation, audience intelligence, and revenue analytics across global markets."

skilliard7

> But is it really more efficient? My AI Chatbot experience is far worse than any human ever talked to me, which also resulted that I ignore chatbots and wait 2-3 for a accurate response to my ticket. 1. A lot of these chatbots are not using AI/LLMs, they are using older technology that just pulls up KB articles based on keywords. 2. Of the chatbots that do use AI, a lot of them are using older or cheaper models that optimize for cost and speed. This will improve over time. 3. In the rush to implement AI, a lot of companies are doing a poor job at making proper use of the technology. For example, a company may just directly use OpenAI or Anthropic's API telling it to act as customer support and provide a set of instructions within the context window, which is a lackluster approach, rather than the more thorough approach of taking an open weight model and training it further with proprietary company knowledge.

joeyat

Microsoft Azure runs most of OpenAI’s infrastructure to serve chatgpt, but they use and sell OpenAI’s models for use in CoPilot. Plus Microsoft resells OpenAI’s models directly to other parties via Azure AI foundry API hosting services (where you see ChatGPT used in other websites, games, customer service bots etc).. and companies pay Microsoft a lot of money for that, of which only a small portion goes back to OpenAI as licensing fees. So both MS and OpenAI sell those models and services and both make money off them. So OpenAI’s big user base consumes Azure compute resources so MS will charge them back, no different to the many companies that use Microsoft infrastructure services. So there’s external income going into both companies to pay for some of this (‘some’.)… But also Microsoft is massive and have a lot of income which is nothing to do with OpenAI, so they invest in OpenAI to float them and provide them resource to produce the NEXT gen of models… which they all assume will be better and then they can both sell those. This is insane growth.. but they are collecting revenue in there, the bubble is bubbling for sure.. but Microsoft seems to aways be a footnote for these investor bubble pop predictors. Where they are a big cog in this machine and their income drives a lot of the system.

ravivg

Don't forget enterprise. They are big there too and that's where a lot of the profits can come from (mostly API revenue, Codex for coding, etc).

pixelatedCorgi

How do you do fellow kids. Would you like to hear about an exciting opportunity to invest in my groundbreaking AI company? Spoiler, it’s another ChatGPT API wrapper.

RustySpoonyBard

Voice assistants that can interact with API are in their infancy.  Every store will probably have an API for inventory some day, and map data, and product deals.

StratPIlotAI-GPT

A few people usually ask how it actually does the IV crush or “event cleaning,” so here’s a quick rundown: The AI pulls real-time IV data and decomposes event premium by comparing term structure curvature before and after key catalysts (earnings, CPI, FOMC, etc). It then projects the “clean” IV level assuming the event wasn’t priced in — that’s what gives you a more realistic estimate of where implied vol could settle post-event. It also has an internal model that builds a bullish/bearish sentiment index using vol skew, delta positioning, and options flow data. That feeds into the confidence score and win rate probability shown next to each trade. The idea isn’t to predict every move — it’s to cut through noise and give you a data-backed framework in plain English. If anyone wants to know how I trained the prompts or built the API logic, I’m happy to dive into the technical side.

unfuckthisfuckery

It depends on what data you’re subscribed to, what markets you want live data of, what enhanced functions you want access to and how much data you’re pulling via the API. We have Bloomberg Anywhere at our firm for everyone and pay between 20k-45k yearly for each. We have a couple stationary ones for interns that multiple people use, those run at ~5k a year, 15 mins delay on price data on those.

unfuckthisfuckery

It depends on what data you’re subscribed to, what markets you want live data of, what enhanced functions you want access to and how much data you’re pulling via the API. We have Bloomberg Anywhere at our firm for everyone and pay between 20k-45k yearly for each. We have a couple stationary ones for interns that multiple people use, those run at ~5k a year, 15 mins delay on price data on those.

d33p7r0ubl3

Ghey mods blocked API access yet still havent figured out how to stop bots

OneResource279

I'm talking about API data providers - Application programming interface. Where yahoo does not exactly offers an API, but that data can be obtained programmatically in another ways. It's all about coding sh\*t and stuff for personal use. And that's right, I'm not US based.

Duskine

Go with the TWS API. I found it to be more reliable and better supported option over the Web API.

luvsads

No worries, hopefully the original commenter wasn't banking on it lol that said, Charles Schwab has a trading API with access to ToS. They could probably work out an easy interface between that and your repo worst comes to worst

OldLocksmith8307

You're right. I built a small workflow to parse pdf monthly reports to CSV and run simple recurring queries and send answers to Telegram, but it's a bit overkill. Something like an open banking (open investing?) format would be useful. My use-case is pretty simple though (low volume, just stocks + currency rates since I'm not based in US), so I'm not sure it's painful enough for me. I think the real difference would come if someone implemented a “Listen to YYY” model instead of “Ask YYY” - proactive notifications rather than just an API wrapper. Not sure brokers are even allowed to do that legally, to be honest.

Beneficial-Swim843

I don't share the spreadsheet as a whole for a number of reasons. Also, I can't do the whole week in advance, it's way to much work especially when there's over 700 names reporting this week, I will have to avoid gathering data for many names. I do day by day as time permits, I'm a busy consultant still so it's dependent on clients. What exactly are you looking for or needing help with? I copy the ticker, date and time of the report, implied move, avg. move, and ER overestimate from Market Chameleon's ER scanner, then the earnings page for each name (manually, currently no API to pull it). The rest of the data can be pulled from Google Finance (I use Google Sheets). https://preview.redd.it/n2het4kuhixf1.png?width=980&format=png&auto=webp&s=c5d304733a975b7771fd1a1566a00d6f675942f1

Fun-Hat6813

This is interesting timing - we just had a client who was managing their entire loan portfolio in Google Sheets and needed real-time updates for their risk dashboard. They were copy-pasting data every morning at 6am to update their executives. The API approach makes sense.. especially for mid-market lenders who can't justify a full data warehouse but need something better than manual exports. At Starter Stack AI we ended up building custom integrations for a few clients who had similar setups - one was tracking covenant compliance across 200+ loans in sheets and needed automated alerts when ratios hit certain thresholds. The authentication piece is what usually kills these projects. Most finance teams i work with get nervous about API keys floating around, even with proper OAuth. How are you handling the security concerns? Because that's usually where the compliance team starts asking uncomfortable questions.

greytoc

Brokers like Schwab, Ibkr, Tradestation, ETrade, Alpaca, etc. all have API's for trading which are available to retail traders.

greensparklers

What are the best trading services in the United States for short selling that have user accessable API for placing trades?

OneResource279

Thanks. I find the IBKR documentation and platforms confusing. It turns out they have 3 different API's - TWS Api, Web Api, and FIX Api. Does the Web API provide options chain data, or should I aim for the TWS Api? Also i cannot find a page with the real time options chains pricing data. On the internet some people says they pay about 10$, some people say they pay 1.5$ for that. But still cannot find an official page with the pricing...

Fearless-Music796

Since you’re trading 2-3 times per week and focusing on analytical tools rather than high-frequency strategies, the 15-minute delayed data from Yahoo Finance should work fine for your needs. That delay won’t significantly impact your edge when you’re doing weekly analysis of volatility surfaces, gamma exposure, and Greeks calculations. Many successful swing traders work with similar data latencies. That said, if you do eventually want real-time data as your strategies develop, all three brokers I mentioned offer it: Tiger Brokers has real-time data with reasonable fees and a very user-friendly platform - great for beginners building custom tools. If you’d like to check it out: https://tigr.link/s/30Ce6sQ Interactive Brokers (IBKR) offers excellent API access for custom charting and calculations, plus comprehensive real-time data packages. The interface has a learning curve, but their API is powerful for what you’re building: https://ibkr.com/referral/cheekuang533 Tastytrade also provides real-time data and is particularly strong for options analysis with an intuitive interface: https://open.tastytrade.com/signup?referralCode=STS88AREXP I’d suggest starting with delayed data while you’re in demo mode, then upgrading to real-time once you’re ready to trade live and have validated your tools. Good luck with your development!​​​​​​​​​​​​​​​​

NeverShort1

If I remember correctly IBKR has an API.

krongdong69

they also need to realize they're not really using the model to its fullest potential when they're using the web interface that's built as a product focused on being a simple chat bot instead of the API.

Scannerguy3000

I’m in the process of switching from Fidelity to Schwab. I highly recommend it. 1. Schwab treats you like an adult with options levels. You don’t have to sell covered calls for five years then beg daddy. 2. They have an API that individuals can use for free. (In full disclosure, I’ve got half the API working, updating Greeks and prices. Still working on the open and close positions logged). I would say their website and desktop application is just *slightly* less user friendly than Fidelity, but I’m getting used to it, and they do have training videos.