API

confused_teabagger

No it is cheaper to use subsidized API calls for any model that you can actually host. Unless you have heavy AI needs or you value your privacy in any way ^^^jk, ^^^I ^^^know ^^^no ^^^one ^^^values ^^^their ^^^privacy ^^^anymore

TrustyJules

I use GEX for pinning trades on Friday. Pull the real time data through my broker API and had a script made by Gemini do the calculations. The GEX script beat out the old volume/oil approach i had before to determine the strike at which a stock is pinning. As others pointed out vendor GEX is useless because they are based on prior day closing data. After the open that data is useless as MM have already moved. Last Friday for example MSFT opened up 3.5% within fractions of a second books were flattened by MM and the GEX from a vendor would have mislead you. If you dynamically calculate GEX you would have been fine.

NationalOwl9561

Dude you have ChatGPT/Codex at your finger tips. I used GEXstream as what I wanted to model it after in terms of design, but the rest is very basic formulas and pulling the data in from the API.

MerryRunaround

I use the CS API for market data. I found the documentation rather difficult. How did you learn to make a gex dashboard? Reading docs? An AI?

Olangotang

> - Top 2 customers made up about 24–25% of revenue but most of their major customers are not locked into long-term contracts? Nope. Corporations trial the API, then months later cancel it because the costs aren't worth it.

HanzJWermhat

It’s comical how little friction there is to switch models. It’s literally just an API call and shit like Openrouter allows you to do it on the fly

NationalOwl9561

Maybe a few days per month… it’s very easy to self host your own GEX dashboard with Schwab API for free.

Olangotang

Yep, right before the API changes and when they were given compute from XAI.

nullcone

I think maybe this extrapolates beyond a 1 year window in which they were the clear leaders in coding agents. They aren't anymore. Competing models from OpenAI have improved substantially. To compete they'll be forced to lower their API pricing.

lilbuhmp

Shoulda subbed to Truth API.

pussinbuuts

truth API subscribers already in the loop for

IDKMyBFFGPT

The API would probably be my first filter here, especially if the goal is integrating with a third-party platform. i'd also check country availabilit and wether the API gives you the other types/data access you actually need rather than just looking at the broker's general API reputation. plus500's T4 setup came up for me in that it supports the specific workflow you're building

SubpoenaSender

I use my brokers API to test it. I am building an algorithmic trading app

welly_guy

The Tastytrade API is pretty good.

jarthursquiers

Initially their API required an agent running on the user’s workstation. Upon looking deeper into it, they may have a new one that could work—with approval. We’ll look into it further.

moorhound

>Power users, when maxing out API token usage on ChatGPT's $200 Pro plan, are costing OpenAI between **$5000-$12000 per month** in inference costs Oh yeah this company's going places lmao

dgellow

That’s with a subscription, that’s subsidized, OpenAI loses money from this and I suspect it’s not so valuable that you would pay the API price to have access to Astra. But you’re right that I was hyperbolic, not literally nobody has a use case for Astra or similar class of models 

element-94

Companies use API pricing.

joshocar

The API prices are also too low and need to be higher for these companies to be profitable.

dotpoint7

Comparing to API prices is flawed when talking about profitability.

Vycid

There's no money in sales to individuals. All the money is selling to enterprise. Big tech companies won't let a Chinese model within a mile of their IP or code. They pay API rates for special ZDR agreements, and sometimes even more than that for Bedrock. This plan is for the tech types that work at large tech companies. $500 is massively subsidized, they're losing money on it, but it's a hearts and minds thing.

Own-Recipe5908

Reuters and Axios should sell a 100k API to get the news 1 minute early.

ShittyFrogMeme

But these companies don't want enterprise paying subscriptions, they want them on API pricing. That's why all of them already booted enterprise off subscriptions. I think this is because they are losing too much on non-enterprise with the subsidized pricing.

Vaxtin

There are people with multiple accounts at the max plan already. They’re already spending $500-1000 a month, and it’s because it’s still cheaper than API usage costs.

AmericanFromAsia

Companies generally do pay-as-you-go API usage. There's really no overhead in switching model providers every other day like there is with consumer monthly/annual subscriptions. That said, no company is using Gemini for coding lmao

Jarpunter

Companies are already paying more through API pricing which is significantly more expensive. All subscription models are subsidized.

ClearlyCylindrical

This won't be marketed for consumers. I generally spend over $2k in API credits in claude per month at my work, and so do many others.

MaybeLiterally

>I have to think most big business would go for the free open source models over the forking over $$$ for chat gpt / anthropic / In my experience in consulting, I see (and recommend) the exact opposite. With OpenAI, Anthropic, SpaceXAI, and Google, my customers are far more comfortable with those models for AI workloads. They are American companies, and some general insight and trust goes with that. Also, in most cases, the fact that the data only goes to those servers in the US is a huge plus. Of course that's assuming the company would instead be picking a Chinese based open source model. There are American ones, and those might be options, but they're not yet up to the quality of the top models. Still there may be some options there. Besides, my customers are all on a cloud, rather it be Azure, or AWS, or Google. All three of those cloud providers have models ready to use in environments they already have workloads in. Azure and AWS both have open source models available, and those are running on US based data centers, so there is less worry there about restrictions. In 100% of the cases, those models are not picked. There isn't a lot of interest. Beyond that, on the desktop, there is a LOT of Microsoft Copilot, which is ready to go for their environment in a secure manner, which is a HUGE win. Most users are happy enough with it, and it's getting better. After that, it's a lot what their employees want as a desktop tool, and it's overwhelmingly Claude, Chat-GPT, and more frequently now, Grok. My customers, right now, have no interest in connecting to Open Source models. There are some American Open Source that's a possibility soon, but for now no interest. Running them locally? Also no interest. They're mostly cloud based, and don't have the desire to buy, install, maintain, and manage the compute needed to run them, when they can click one button and get an API up and running in a pay-as-you-go situation. You have to understand the data sovereignty, security, and comfort these companies need to keep in mind. It's more complicated than just buying some GPU's, installing Kimi K3 on them, and patting themselves on the back.

whitehypeman

Duh, market doesn't care though. API is hooked up directly to truth social

Weak-Somewhere7431

Yep. Don't give a shit about speed. If I could get a 50x plan for $500 and have 10 parallel threads that would let me consolidate subs and random API tokens into a single sub. I'd do it in a heartbeat. Don't care about the speed, needs to be legitimately a 50-100x plan though

androidMeAway

Well, for reference, at my work we have $1000/month to spend in tokens for every person in the company. If you reach the limit, you can ask for an increase, and many people do. Now, I know that it is different API pricing vs subscription plans, but just telling you that there some absolute power users who automate every single thing with AI and spawn crazy amounts of subagents etc. that eat tokens like crazy, so if you're making $100 an hour (which for senior software eng is normal), you need this to save you just 1.25h a week to break even every month.

Honest_Bee_9549

For its API use to link it to your autonomous agents? Why would it not be useful, it just depends on what's included in the plan like how many tokens, what models etc.

gigglychaddy

Apparently there’s an invitation only tier for Truth Social API where it gives you real time trump family trade alert for $10 million a year subscription

SignificanceLate7002

My truth social API just gave me the first insider alert. It said byy puts.

-TiV

Mango API I guess

Regarded-Mastodon

Truth 100k API access knows

gigglychaddy

See? 100k subscriptions to Truth Social Presidential API was worth it?

gigglychaddy

What the fuck? What did trump social API said??

Livid-Cat9118

For something execution sensitive I’d want a definitive answer from the API docs rather than assuming the retail interface and API expose the same routing controls. Direct routing can matter a lot depending on the strategy. I use Moon for a different type of directional position, so I keep anything latency or route dependent firmly on the broker side.

Big-Farmer-2192

Isn't that just false? They collects your data in API usage too.

carsonthecarsinogen

There’s value there yes, but the current “moat” argument is that they will be getting all the prompts, the data along with said prompts, AND they’ll be able to have a platform to sell shit back to you on. Longterm (10 years) I think they’ll just be an API for open sourced models and vibe coded applications (MS office replacements etc).

selfemployedsince16

Does this mean the deflationary spiral is being confirmed by open ai? “Both launch today with API prices 50% lower than GPT-5.6.” - openaidevs on gpt6

Sudden-Degree-5837

Open models don’t necessarily need to capture model-layer revenue to pressure the closed labs. If they become “good enough” for more workloads, they can cap API pricing even while most revenue remains with frontier models. I’d watch their share of high-value workloads and revenue per token, rather than total token volume. The eventual winner may be the cloud or GPU provider hosting both sides.

Few-Pollution4403

Have claude master one stock and use the API, so damn easy

Few-Pollution4403

No plugin, API with IBKR and python, have it monitoring 5 different stocks

fomoandyoloandnogrow

Lmao so 🥭 can’t get on tv anymore now? Thank god this shit should have happened sooner. He probably thinks he can upsell his API Crap now too

Mister__Mediocre

I'm not talking about pulling the API. OpenAI already has models internally that are two generations ahead of Astra. I think there is tremendous value to be had by holding a duopoly on super intelligence. Why sell tokens to companies when you can instead just outcompete their business because you have access to tools they don't.

avilacjf

This is a path that might work but it's a pretty narrow passage. Pulling the API would be a massive headwind and would massively reduce their revenue and customer base. That's not the kind of move you want to see as an investor but it might be necessary to stop distillation. Every lab would have to do it, otherwise there would be other frontier models to distill from.

17Beta18Carbons

For API rates sure, now how many customers are actually paying or even willing to pay that?

Low_Technician9179

Ppl mocked me for buying the truth social API but I got in Friday afternoon, when did you?

thewimsey

> you register for an API key and they bill your card. Or they send you an invoice.

thewimsey

You're mixing things together, though. Around 5% of the economy is "run" by non-human agents. Meaning humans have delegated substantial responsibility to the non-human agents to do things. Like high frequency trading. The agents don't need *their own* form of currency because they are granted access to the principal's own funds. If a battery company uses an AI agent to buy magnesium when it reaches a low price (with the definition of "low" and the amount to buy being designated by the AI), it's still buying the magnesium with the battery company's money. It doesn't need to find bitcoin. The same if it is managing supply or inventory in a factory or choosing the most efficient power for a data center. It's using the factory or datacenter's money. >When an Ai agent needs to purchase API access, buy decentralized GPU compute power or secure its own electricity, it requires a permissionless 24/7 global value system. No, it requires permission to use funds from whoever it is working for. It won't have to *open its own bank account*.

itsalwayscalls

I stand corrected. Guess I mistakenly assumed it was affiliate. Need to read more. But my spider sense is still tingling, I suspect AMZN will soon have a personal assistant as well, and if so then why not let AMZN API chat with MUSE?

Full_Boysenberry_314

It's worth looking at some of the moves Anthropic is making towards automated scientific research. They've open sources a lab-equipment control standard following the same playbook they've used for MCP and Agent Skills that served them very well. Now they are investing in bio-tech lab space with the goal of becoming the feeder for a new generation of pharmaceuticals. The royalty potential here is huge. And the ability to guard against distillation attacks is much higher. They have plausible arguments for keeping biotech knowledge out of public hands (safety) and automated research could build a very hard to replicate proprietary data moat. Absolutely look for their business model to start expanding well beyond selling tokens via API and into selling and licencing IP discovered/developed by their superior internal models.

123789dftr

> they could sell that capacity on the market It isn't accurate because that is measuring it in opportunity cost, not the cost meta paid. And not accurate for that price either because they haven't set up their compute to rent like that as of now. I'm pretty sure the billion tokens is via referrals only too? Most people not getting it. > I was hoping I could use it through API This is a more "hardcore" use case and not the intention of it. It's supposed to be something so easy that your grandma can use. It's supposed to be something that can help you out with tasks. Some examples: - Keep price watch lists on flights/hotels consistently (across many websites) - Fill out forms for you Imo, taking over anything menial but time consuming is the goal

zirconst

I can't speak to Rocketlab. The issues with Anthropic's path to profitability is that they aren't providing standard GAAP figures. We'll see what the S-1 looks like. Also, they are selling their product at a heavily subsidized rate in the case of the monthly plans. We don't know what % of users are on those plans vs. API-based billing, and we also don't know whether or not those users would stay on if Anthropic increases the prices. For example, say they have.. a million users with the $200/mo plan, which would be $200m in revenue. They increase the price to $600/mo to reduce the subsidization. Will all of those users stay on? It seems like LLMs are becoming commoditized, so I doubt that people would stay with a much higher rate - they'd probably jump ship to OpenAI or one of the many far cheaper open weight models like GLM, Kimi, etc. In fact, the same calculus applies to enterprise users. With how good open weight models are getting, there's a big question of whether companies will continue to pay a huge premium for Claude & Fable when they could pay 80% less for maybe a 5-10% drop in output quality. Also worth mentioning Jev dropped a few days ago and IMO is a threat to the value of any frontier lab. While it is NOT a replacement for a typical chatbot LLM for all use cases, there are *many* use cases where it can easily replace one. Whether that's 1%, 5%, or 30% of total uses, who knows - we'll see soon. But it's unbelievably cheaper and faster than Claude/Fable.

Singularity-42

*Few thousands worth isn't accurate because they own their hardware. They don't have the same unit costs as the frontier labs.* Yes, it is accurate. They could sell that capacity on the market. In any case, very few users will actually use the billion tokens. I signed up for it, then I realized I have to use it only through their Muse app, and I didn't touch a single token. I was hoping I could use it through API, but I can't... Might still play with it. Can you tell me what it's about, actually? Is this supposed to be similar to openclaw, perhaps?

SomewhereAtWork

There is also per-per-token via the API. Which is the only option not to have your data end up in the training data. That's what companies use.

Zachincool

Use the Alpaca API to create and execute orders. Their platform is built for programmatic traders. You can use Claude Code to help you write some Python code to do this, and then you’ll need to run it on a cron schedule on a server in AWS. If you don’t have any software engineering knowledge, I don’t recommend trying to do this without help. Good luck!

ogbrien

Muse can be used at work. It's just designed for personal on the frontend but you can literally tell it to build API connections to apps, setup tailscale bridges between itself and your Linux servers, send ssh commands to remote servers, etc They are going for the normie market so they don't advertise it can do this but it can be as technical or as normy (remind me to pay my bill) as you want it to be outside of stuff like "build me an app"

SourceNo2702

If OpenAI’s success as a company essentially hinges on every single American losing their job, who is going to pay to see these movies? You can’t just cut costs infinitely. At some point, you hit a wall which will affect your profit margins if you cut any further. There’s also the fact that the more companies cut costs, the less *OpenAI will get from API revenue*. Because they are spending less money.

thatsme55ed

The big question isn't whether AI models will continue to get better and be adopted by more and more people (they will), the question is whether the frontier labs can ever make money. I'm not saying they can't, I'm just pointing out that none of the financial data supports that AI providers are making money yet. The current goal seems to be to develop models until they're performant enough and cheap enough that they can replace the average semi-skilled white collar worker for less than the cost of that employee's salary, which will easily recoup the trillions of dollars of investment made into AI. Right now they're conquering specific highly skilled fields with tons of publicly available data to steal/train from like 3d design and cybersecurity one by one. They don't have a generic plug and play model that can replace the average white collar worker with minimal training or specialized support (yet). However if the Chinese release an open source model that's 80-90% as good as the the frontier labs models, that goal of profitability by replacing white collar workers becomes impossible to attain. Businesses will switch to the cheaper models since there's no moat around the various offerings, it's just an easily switched API call. All the investment money frontier labs spent getting their models up to that level never returns any investment and the entire AI bubble collapses.

statellyfall

Everybody please divert your eyes to this list in this order of increasing complexity (in my recently unemployed software engineer opinion, it’s okay I worked for some weird ass old white man company) 1) crypto 2) futures 3) kalshi 4) forex 5) Coinbase prediction section If you are beginning to study these significantly more available markets, you may just be ready for what the market makers deal with every day come December 2026. Happy training/ trading. If you need help with API please refer to these sources in order of how much pain you’re going to be in for if you wanna be ready for this 1) call your broker 2) walk into any comp sci dept and ask the most unkept kid if he wants to look into markets with his computer 3) any AI harness w/ the help of the above Inf) AI by yourself

Jenn2895

You’re evaluating Btc through an outdated lens (human consumer adoption & global fiat collapse). The true economic proposition of Bitcoin now relies on it acting as a trustless, decentralized reserve asset for an economy increasingly run by non human agents. Ai agents have no legal human identity, meaning they can’t open traditional bank accounts or pass kyc compliance. When an Ai agent needs to purchase API access, buy decentralized GPU compute power or secure its own electricity, it requires a permissionless, 24/7 global value system. Ai agents themselves have overwhelmingly selected Bitcoin as a long term store of value/wealth preservation & stablecoins for transactional micro payments. As far as computing resources fleeing to Ai. Rather than killing Bitcoin that diversification actually strengthens the underlying equity profile of miners. It provides them w/ highly predictable Ai contract revenue so they don’t have to sell their Bitcoin during low price cycles to stay afloat. & Coinbase's pivot isn't just to prediction markets. It’s heavily leaning into its Layer 2 network, Base. In 2026 Coinbase noted that more than 90% of agentic stablecoin transaction volume (payments executed automatically by Ai) occurred natively on Base.

DangerousPurpose5661

Why would we need to interact with so many vendors? You’re offering a solution for a problem that’s non-existant. If you have a specialized task that requires a specialized agent, you register for an API key and they bill your card. Why would I want my agent to spend my money on random agents, without my approval? And KYC is not there for fun - giving ownership to a piece of software is absolutely problematic. You’re going to have malware scamming people without anyone accountable since the owner is the agent? Yikes… no thanks?

Jenn2895

Of course I keep books & file taxes. Nobody said you don't. The point is about *how* you log them. If an AI agent executes 50,000 transactions a day a human can’t manually type those into QuickBooks. You use Ai accounting agents to bridges the API ledgers directly into your traditional tax software. & you are confusing 2 completely different things. A human buying Ai services & an autonomous Ai agent executing economic actions on its own. “Owning your account personally has zero impact on transaction fees” For a human, that's true. For an Ai agent, it isn't. Banks Stripe, Visa, Chase, etc require a legal human identity (KYC/SSN/EIN) to open a bank account. A piece of software code cant walk into a bank, sign a signature card & open a checking account. B/c Ai agents lack legal personhood, they can’t personally own a traditional bank act. Crypto allows software to hold an act via code/smart contracts w/out needing a human intermediary. “I use my credit card to pay for OpenAI, which is billed by the hundredth of a cent” You’re paying a single monthly bill. OpenAi tracks your usage by the micro cent on *their* servers, batches it & charges your Visa once** **a month** **for the total. Now imagine your Ai agent needs to autonomously hire another Ai agent on the internet to do a 5 second task for $0.0001 & it needs to do this 10,000 times a day with 10,000 different software vendors. Visa/Mastercard processing fees have a flat minimum cost (usually $0.30 + 3% per swipe). Running 10,000 actual individual credit card transactions for fractions of a penny would cost you thousands of dollars in flat fees. That is why Ai agents rely on crypto/Web3. It allows for true instant micro fractional payments between machines. .

DangerousPurpose5661

… sooo you don’t keep a list of transactions in your books? Or you have AI submit your taxes? You told me an AI needs crypt to own their bank account because if micro transactions. Nothing of this is true. Owning your account personally has absolutely zero impact on the transaction fees And ive been using my credit card to pay for my OpenAI API key, which is billed by thy hundredth of a cent…

FlatAd7052

Anthropic is now making around 1.5-2x as much per month in revenue and they have massive gross margins on inference, where OpenAI is genuinely losing money on basically everything, even excluding research/sales/marketing costs. As an example, OpenAI gives about 4 times as many tokens for free on subscription plans as Anthropic does, with models that use more compute per token, for the same price point. Anthropic likely loses money on subscriptions where people use 100% of available tokens/compute, but has substantial gross margins on API usage. OpenAI very likely loses far more money on subscriptions than Anthropic and has shockingly small API usage. Combined, this means that Anthropic makes more money with far lower costs. And this is diverging, and CEOs for both companies are signaling that that divergence will just keep going. OpenAI plans to burn another $280 billion over the next few years with no profit. Anthropic plans to have profit, even considering all costs, by the end of this year. Absolutely insane turnaround in the last \~6 months, especially considering that OpenAI genuinely has better models available now by most metrics.

Bright-Cake9338

Balls deep on META PUTS MUSE is a LAWSUIT CASE APP SHAPED INTO A AI SLUT API

Maxence33

The biggest issue with AI is that I am pretty sure OpenAI and Anthropic don't sell the products its real price for now. They all try to gain the top place. Though I am not sure there will be a clear winner. The race might never end. At the moment I have 50€ of Fable credits that have expired yesterday and didn't use ... And if they try to raise the subscriptions/API prices I am sure some users will switch to chinese models. What's more challenging is that time is playing against the big players. There is an embargo on chips to China but China still manages to build their infrastructure. And when OpenAI and Anthropic will raise their prices, chinese companies will probably have resources to serve new users. So it will be interesting to se how elastic to price demand actually is.

Drew707

Only if you are on the API or you reup midmonth. Subscriptions are fixed pricing.

death_hen

I haven't seen a legit source for that but have heard it many times. Regardless, that'd only be true on API usage, the vast majority of usage is via subscription-based pricing where people get WAY more usage than they're actually paying for.

MerryRunaround

You can ask your ai for details about the CS API (easy) or go directly to the CS documentation (harder). I believe you are correct it doesn't provide ice or ivp. It provides many other stats though

klipsetrades

Current IV can be calculated from the chain, and IVR/IVP are just calculations on your stored IV history. You may be better off looking for free/cheap option-chain data rather than an API that specifically gives IVR/IVP

Icy_Bridge_2113

Hi there, person with AWS experience here. Inference is highly profitable for Anthropic at API pricing. Nobody is losing money on API pricing. Margins might be as high as 100% next year on tokens. Vera Rubin and Trainium 4 hardware is batshit crazy in raising margins for those who have purchase orders already secured.

MomaBadgeCollector

I meant between Schwab and TastyTrade API

Trashlify

difference between Schwab and what? I don't use Schwab so i would not know what their API offers. You will have to go through the docs and see their endpoints. I think they will likely not have IVR and IVP though, because those are historically calculated.

Trashlify

If you open a TastyTrade account and put some money in it (fund it), you get free access to the API. The specific endpoint `/market-metrics` will give you exactly what you need. * `implied-volatility-index` * `implied-volatility-index-5-day-change` * `implied-volatility-rank` * `implied-volatility-percentile` * `option-expiration-implied-volatilities` Alternatively, Tradier's API gives you real time options data including * `bid_iv` * `mid_iv` * `ask_iv` * `smv_vol` * `delta` * `gamma` * `theta` * `vega` `volume` * `open_interest`

Singularity-42

Inference is "cheap" by definition? What's that definition? They're just marking up their API quite a bit so they can make good money off of it. But they're almost likely slightly losing money or at best breaking even on the subscriptions.

Ok-Nog3866

Unpopular opinion: Anthropic is the AOL of this AI cycle, not the Google But look at what's underneath it. That $965 billion price tag is roughly a 20x multiple on revenue, which very few tech companies in history have sustained for long. To feed that growth they've locked themselves into enormous compute commitments: a compute pact with SpaceX that could hit $45 billion by 2029, a reported $50 billion data center buildout including a 2.2GW facility with Amazon, and a separate multi-billion dollar chip deal with Nvidia. That's not a software company's cost structure, that's closer to a utility company's balance sheet, except the "customers" can walk to a competitor's model with an API key swap in an afternoon. Cash burn has been ugly too. Reporting has put annual burn around $5.6 billion in 2024, dropping toward $3 billion in 2025 as revenue caught up, with profitability targets pushed out to mid or late 2026 depending on which report you read. Meanwhile OpenAI is reportedly projecting something like $14 billion in losses for 2026 alone, so the whole sector is running hot, not just Anthropic. My opinion is that being early and being safety branded got them to the top of the leaderboard, the same way being early and having the trusted brand got AOL to the top of the internet leaderboard in 1999. It didn't mean they owned the infrastructure or the moat once the real competition and real capital showed up. Compute costs, model commoditization, and the fact that switching costs between frontier models are basically zero for most enterprise use cases all point the same direction to me. First does not mean last standing. Could be wrong. Genuinely open to being wrong. But that's where I land.

Ok-Nog3866

**Unpopular opinion: Anthropic is the AOL of this AI cycle, not the Google** But look at what's underneath it. That $965 billion price tag is roughly a 20x multiple on revenue, which very few tech companies in history have sustained for long. To feed that growth they've locked themselves into enormous compute commitments: a compute pact with SpaceX that could hit $45 billion by 2029, a reported $50 billion data center buildout including a 2.2GW facility with Amazon, and a separate multi-billion dollar chip deal with Nvidia. That's not a software company's cost structure, that's closer to a utility company's balance sheet, except the "customers" can walk to a competitor's model with an API key swap in an afternoon. Cash burn has been ugly too. Reporting has put annual burn around $5.6 billion in 2024, dropping toward $3 billion in 2025 as revenue caught up, with profitability targets pushed out to mid or late 2026 depending on which report you read. Meanwhile OpenAI is reportedly projecting something like $14 billion in losses for 2026 alone, so the whole sector is running hot, not just Anthropic. My opinion is that being early and being safety branded got them to the top of the leaderboard, the same way being early and having the trusted brand got AOL to the top of the internet leaderboard in 1999. It didn't mean they owned the infrastructure or the moat once the real competition and real capital showed up. Compute costs, model commoditization, and the fact that switching costs between frontier models are basically zero for most enterprise use cases all point the same direction to me. First does not mean last standing. Could be wrong. Genuinely open to being wrong. But that's where I land.

ParityOutcomes

I've used IBKR and Tradier. TWS is rough, but the IBKR mobile app is much easier for modeling these structures and actually getting them filled, and their combo pricing is really good. Tradier has easier API access for execution IMO and still handles multi-leg fine.

FlatAd7052

250% or more YoY growth in revenue for generative AI since 2022, actually faster than that in the first half of this year; $100-$135 billion revenue this year projected, $45 billion realized in the first half of the year. Anthropic has \~70% gross margins, 80% on compute they serve through their apps/API instead of partners and their revenue is growing much faster than the industry overall (they seem to be bending the industry growth curve up). Either the growth trend stops very soon or this is not a bubble.

RIVNMoonMe

Web client API

music_is_gud

I use Alpaca with Claude/Gemini combo for API based trading

2015camaro2ss

Let me guess, an API hooked on to market makers?

-sakuranbo

the market has the Truth API for that

TyroneSwoopes

Y’all think the rate decision has hit the truth insider trading API yet?

LankyGuitar6528

Today right now you can download local models that are as good as frontier models from 6 months ago. How are they going to make any money if everybody can download stuff from China for free? Over on the Artificial Intelligence Sub, one person (likely using an AI) wrote this about the AI panic... and he's 100% right. "*Let’s strip away the theatrical doomerism and call this what it actually is: the oldest fearmongering business scheme in the corporate playbook, dusted off and applied to artificial intelligence. These closed-source incumbents aren’t terrified of a rogue superintelligence/AGI, they're terrified of open-weight models rendering their multi-billion-dollar proprietary API rent-seeking models obsolete within months. If anyone can download, fine-tune, and run an equivalent state-of-the-art model locally on decentralized hardware, their astronomical burn rates catch up to them, their overinflated valuations evaporate, and their monopoly over information and political narrative control is destroyed for good.*"

Ancient_Plan2953

Honestly, I built and run my own custom scanner. Most of the mainstream scanner platforms out there have way too many errors ,especially when it comes to low float names. You'll frequently see outdated share structures, misreported floats (missing recent dilution/offerings), and delayed or glitchy relative volume calculations right when seconds matter most. Writing my own scripts off a direct API feed ensures the float data is actually accurate and the volume spikes trigger in real time without the noise

SurpiseCurrencyDebas

ai uses API's to talk to sites, uses previous chats to reference, aint hackin shit bro

narutoaerowindy

How do I get API access to reddit?

Grey-62

I asked the API support team. The answer is no.

ReserveHour2403

Dayummm you smart, ain’t you? What’s an API?

Shroomboom420

Anyone with Truth API, that can tell us whats happening? why is 10yr falling again, and spy rising?

mtnbike2

Probably a 15 min Trump tweet preview API to stock buying AI agent

Designer_Respect4285

You're an idiot: "Research firm SemiAnalysis reports that AI company Anthropic, leveraging a high-margin API-centric business model, is projected to achieve $1 billion in GAAP EBIT by Q3 2026, with annual recurring revenue surging from $9 billion at end-2025 to over $60 billion." [https://finance.biggo.com/news/02d45650-b569-4d12-b44d-8d6d8aeb6a0d?utm](https://finance.biggo.com/news/02d45650-b569-4d12-b44d-8d6d8aeb6a0d?utm) If you want the primary source go read the paywalled version yourself on [semianalysis.com](http://semianalysis.com)

zonk84

Depends on the task -- RAG has value, but if I want a closed circuit (like 10-q/k comparisons), I make sure my prompts are limited to input. EDGAR is pretty API friendly -- and I've gotten more comfortable using a retrieval agent rather than manual downloads and a forced summary of solely provided material. We're getting afield here - but tuning and limiting factors are simply a (as of the moment) nature of the beast. When it comes to AI usage? Vectorization is still a bit like a precocious intern -- you have to balance "run wild and surprise me" vs "we have guardrails and I don't want you getting overly creative".

Sea_Local2557

today he was tweeting to make it worthwhile for whom has subscribed to the Truth API, you could see oil stocks move, good job 🥭

pussinbuuts

🥭 trying to increase his truth API subscriber count LMAO