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Reddit Posts

$GOOG DD: working on self-improving AI

r/stocksSee Post

Would a Kevin Warsh API or a Fed Board API have more impact than the Truth Social API

r/ShortsqueezeSee Post

SqueezeFinder - Sept 9th 2026

r/stocksSee Post

OpenAI releases ChatGPT Images 2.5. I expect Adobe stocks to nosedive once mass media gets a hold of this.

r/optionsSee Post

Does the Schwab Trader API allow direct routing of a 2-leg equity option roll?

r/pennystocksSee Post

$AXG is building an interesting AI + quantum stack (EvolveEQ)

r/stocksSee Post

Is Edge AI actually a threat to Cloud AI CapEx?

Rounds is LIVE.

r/wallstreetbetsSee Post

OpenAI's ad business shows blistering growth, hits $1 billion annualized revenue run rate

r/StockMarketSee Post

OpenAI's ad business shows blistering growth, hits $1 billion annualized revenue run rate

r/wallstreetbetsSee Post

My completely regarded analysis of the AI trade. Read before you buy 0DTEs.

r/wallstreetbetsSee Post

My completely regarded analysis of the AI trade. Read before you buy 0DTEs.

r/optionsSee Post

Options + AI using Schwab's free Developer API (ChatGPT + Mac Mini + iPhone)

r/StockMarketSee Post

OpenAI Cuts GPT-5.6 Sol Prices

r/stocksSee Post

Here’s why OpenAI/Anthropic will not go bankrupt (inference margin and training cost).

r/wallstreetbetsSee Post

Here’s why OpenAI/Anthropic will not go bankrupt (inference margin and training cost).

r/stocksSee Post

Anthropic Pitches $190B-$200B 2028 Revenue in IPO Case

r/wallstreetbetsSee Post

So long suckers, about to leave you losers behind.

r/stocksSee Post

MSFT is cheap based off their OpenAI stake

r/wallstreetbetsSee Post

Trump Media: More than 10 firms pay up to $100,000 a month for fast access to Truth Social posts

r/stocksSee Post

Trump Media: More than 10 firms pay up to $100,000 a month for fast access to Truth Social posts

r/wallstreetbetsSee Post

Researchers found a way to extract hidden reasoning of frontier models using a vulnerability in the APIs of every frontier AI company.

r/investingSee Post

How OpenAI turned product degradation into engagement stats: Broken context retention, forced retries, and $6.6B in insider liquidity.

r/wallstreetbetsSee Post

Is Truth API in place for most institutions yet?

r/stocksSee Post

Wall Street mispriced Twilio as legacy SaaS. Here’s why this week’s earnings beat is only the beginning

r/wallstreetbetsSee Post

Truth API ad

r/pennystocksSee Post

NRX Pharmaceuticals (NRXP) - Imminent Catalyst and other statuses! This company is on the move and gaining traction. Price targets are multiples of the current share price.

r/optionsSee Post

Hello worlds

r/optionsSee Post

ETrade vs Schwab for Option Execution

r/optionsSee Post

ETrade vs Schwab for Option Execution

r/wallstreetbetsSee Post

Truth API

r/wallstreetbetsSee Post

Truth Social API Infomercial

r/wallstreetbetsSee Post

Truth Social API Infomercial

r/investingSee Post

Trump Media Launches Truth API for Wall Street Traders Despite Objections

r/wallstreetbetsSee Post

Trump Media Launches Truth API for Wall Street Traders Despite Objections

Alphabet earnings - Negative free cash flow of $5.9 billion, driven by high capex

r/investingSee Post

Due Diligence | AI sector isn't just overvalued; it is architecturally redlining.

r/optionsSee Post

Is there any service that has historical API access to SPX Global Trading hours quote history?

r/StockMarketSee Post

Kimi K3 has been API and web only since 16 July, with open weights committed by the 27th

r/wallstreetbetsSee Post

Want the Truth Social API for free?

r/wallstreetbetsSee Post

Thoughts? Trump is about to sell early access to his posts, but only to Wall Street.

r/StockMarketSee Post

Zhipu On-Track to Become First Chinese AI Model Company to Reach $1B in ARR

r/stocksSee Post

Google's AI is now substantially behind, even losing to freely available Chinese Open Weight Models. The market hasn't caught on yet

r/wallstreetbetsSee Post

How to actually trade Trumps Tweets

r/wallstreetbetsSee Post

How To Actually Trade Trumps Tweets

r/stocksSee Post

How is this legal? - Truth Social to sell banks 'fastest' access to Trump's posts.

r/wallstreetbetsSee Post

Direct feed from the Oval Office - Truth.API goes live

r/wallstreetbetsSee Post

Truth Social to sell banks 'fastest' access to Trump's posts (Reuters)

r/investingSee Post

Any axionquant API users have a longterm review they can share?

r/investingSee Post

We tested a methodological critique of our macro ARIMA model. Here's the results.

r/optionsSee Post

We built an affordable Deribit options data API

r/stocksSee Post

Meta jumps into AI coding market in effort to chase Anthropic and OpenAI

r/ShortsqueezeSee Post

SqueezeFinder - July 7th 2026

r/wallstreetbetsSee Post

API that given sentiment scoring across 500+ tickers:

r/pennystocksSee Post

Stop letting big money beat you, find the edge and follow the money.

r/stocksSee Post

"AI is killing (seat-based) SaaS" is stupid.

r/investingSee Post

Public.com Ideas and Review

r/smallstreetbetsSee Post

Day 2 Agentic Trading

r/optionsSee Post

I used ChatGPT to backtest a SPY 0DTE strategy and Codex to build an automated IBKR bot

r/WallStreetbetsELITESee Post

I am once again asking the reddit hivemind for feedback in order to build bloomberg terminal for retail

r/ShortsqueezeSee Post

SqueezeFinder - June 22nd 2026

r/ShortsqueezeSee Post

SqueezeFinder - June 16th 2026

r/optionsSee Post

I built a desktop options scanner for cash accounts — looking for 10 traders to beta test

r/stocksSee Post

I made an AI trading version of myself

r/investingSee Post

US Stock trading algo performance in 2 months 10.79%

r/stocksSee Post

The Price Ceiling Nobody Wants to Talk About: When Hiring Humans Becomes Cheaper Than AI

r/wallstreetbetsSee Post

The Price Ceiling Nobody Wants to Talk About: When Hiring Humans Becomes Cheaper Than AI

r/optionsSee Post

Built a Black-Scholes Options calculator to model strategies including profit probability

r/investingSee Post

NTSK - My Michael Burry stock

r/stocksSee Post

Built a Chrome extension to replace my ChatGPT copy-paste workflow for portfolio news and DD. Here’s how it works

r/StockMarketSee Post

Built a Chrome extension to replace my ChatGPT copy-paste workflow for portfolio news and dd. Here’s how it works

r/StockMarketSee Post

API oil chief warns US Strategic Petroleum Reserve nearing critical low

r/wallstreetbetsSee Post

Reddit is being overlooked

r/investingSee Post

I lost $3000 trading on emotion after making 6 figures in crypto. So I built an AI to permanently remove feelings from my trading decisions.

r/StockMarketSee Post

I lost $3000 trading on emotion after making 6 figures in trading. So I built an AI to permanently remove feelings from my trading decisions.

r/optionsSee Post

Lost $3000 trading on emotion after making 6 figures. So I built an AI to fix it.

r/stocksSee Post

AI cost-control companies the next AI infrastructure trade? Potential for re-rating with reasonable valuation.

r/investingSee Post

Billing Changes of Big AI

r/investingSee Post

Why AI-Native FinTech Engineering Is Reshaping Financial Product Development in 2026

r/WallStreetbetsELITESee Post

The house of cards is falling apart, just a random theory

r/smallstreetbetsSee Post

The house of cards is falling apart, just a random theory

r/wallstreetbetsSee Post

Long term RDDT?

r/wallstreetbetsSee Post

Netskope (NTSK) - Slept on? Cybersecurity is more Important than ever with agentic AI Adoption

r/smallstreetbetsSee Post

YYGH High-growth revenue, massive asset gap ($4.03/share net), and a brand new NVIDIA Blackwell infrastructure catalyst.

r/pennystocksSee Post

YYGH High-growth revenue, massive asset gap ($4.03/share net), and a brand new NVIDIA Blackwell infrastructure catalyst.

r/wallstreetbetsSee Post

Building an AI agent that needs live market data?

r/stocksSee Post

Bull case for cyber security stocks is incredible.

r/optionsSee Post

Feature request: Better tracking for rolled options in thinkorswim (net credit/debit + roll chains)

r/wallstreetbetsSee Post

ADSK DD - the AI Data moat

r/wallstreetbetsSee Post

The next AI rotation - from infrastructure to data reservoirs

r/optionsSee Post

Building a Greek P&L attribution system for options portfolio

r/wallstreetbetsOGsSee Post

$MQ IPO receipt

r/optionsSee Post

project no code

r/ShortsqueezeSee Post

GRPN Deep Dive: Built a Full Short Squeeze Analysis Spreadsheet from SEC Filings + Ortex Data via Ortex API - Here's What I Found So Far

r/stocksSee Post

85% recurring revenue. 5x revenue growth in 5 years. The biotech royalty engine Wall Street forgot.

r/pennystocksSee Post

ThreeD Capital (IDK) Seeing beyond just 3D

r/optionsSee Post

Anyone using AI agents for options trading? Hitting some execution issues

r/optionsSee Post

Anyone using AI agents for options trading? Hitting some execution issues

r/stocksSee Post

Opinion: the AI race is almost over. China is winning

Mentions

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)

Mentions:#API#EBIT

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".

Mentions:#API

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

Mentions:#API

🥭 trying to increase his truth API subscriber count LMAO

Mentions:#API

Not if u subscribe to the Truth API, high IQ president will warn in you in time

Mentions:#API

You’re jumping to Semianalysis when I’m quite obviously talking about Anthropic. That aside, whoever is making projections it’s the same story as usual they can talk about “profitable” all they want if the industry keeps coming out with absurd definitions of profitiability that exclude significant costs then no-one is going to take it seriously unless they’re also financially motivated. Anthropics the most likely to actually make money as they’re selling so much on API compute rather than paying for users with massively loss-making consumer subs but personally If everyone involved was looking at their massive training costs eating all profitability and needed a way out then “we need to slow down development for safety” sure would be a good way to try and mitigate that problem.

Mentions:#API

It’s a bit of a coin flip. A slowdown does not mean those companies are not still compute constrained. Adoption of some of the newer compute heavy models ie Fable is not super high at API prices. This does not mean usage has slowed down by users are staying effective with less compute heavy models. Slowing down models does not fully equal slowed demand. I’d be the happiest man alive if sonnet 3.5 came back… Basically: it depends

Mentions:#API

\>Hugging Face’s CEO said this week that **roughly half of the Fortune 500 now runs** **open source** **AI models** instead of renting access through a provider’s API. https://www.neonaliens.com/intel/rent-vs-own-ai-founders.html

Mentions:#API

Damn, just saw the new Nvidia VeraRubin NLV72, when at full capacity, will let AI-gen book authors generate close to half a millions books per hour using Amazon's e-book publisher API. That's a lot of content. Billions of new books for people to buy

Mentions:#API

Why don’t you ask Anthropic? The company reported its first profitable quarter with a positive adjusted operating income in the second quarter of 2026, pulling in over $11.5 billion in booked revenue. Annualized revenue surged to $65 billion by July 2026, up from roughly $9 billion at the end of 2025. Roughly 80% of revenue comes from business and API consumption, featuring strong profit margins above 80% Facts homie

Mentions:#API

So the revenue sharing is one of the primary ways big customers consume their models. I know multiple large orgs that use AWS bedrock to access anthropic models instead of directly to their API. Those types of businesses are the one driving most of the revenue.

Mentions:#API

i query CS API like 10,000 requests in a few minutes but it didn't care

Mentions:#API

The other path is getting the Charles Schwab Trader API like me and ask chatgpt to build an option screener for u

Mentions:#API

That is true for only their B2C model. The people who are using ChatGPT for every single thing all they have is either the free plan or the $20/month plan. OpenAI is spending about $30 to $100 on every such person  But this is not the business model. How OpenAI is able to subsidize the B2C users and how Anthropic is able to be profitable is basically them charging a lot more per token on the API side (which is the B2B side of the business, which is the actual meat and potatoes). You are right but you're only right for the part of the equation which they are using to get people hooked on AI. The real business model is where they sell it to companies and their employees 

Mentions:#API

they aggregate the data, not just pull it off third party API whenever user requests it. hence, they are paying for their servers. their free tier is also enough for most traders. there is also a lot of work in their UI, they don't just use a standard framework like chart-js. are you by any chance a pc gamer?

Mentions:#API

Full disclosure — I’m the founder of [**ValueInvestingHub.com**](http://ValueInvestingHub.com), so take this as a suggestion from someone building one of the alternatives rather than an unbiased recommendation. What you described is actually pretty close to the problem I’ve been trying to solve: I wanted the depth of a research platform without having to fight through a lot of visual noise. We have a stock screener, customizable data views, stock comparison, historical financials, valuation/DCF tools, 10-K analysis, institutional holdings, ETFs and a few other research tools. The platform is currently free to use. 👉 [https://www.valueinvestinghub.com](https://www.valueinvestinghub.com) I don’t have a public API available yet, so if API access is a must, it probably won’t solve that part of your requirement today.

Mentions:#API

Yeah you need to pay separately if you need Google AI API access. I have both

Mentions:#API

It's for both. We use fpgas to fire orders where nanoseconds matter based off of news wire events plumbed right into the trading servers. And if we're tens of nanoseconds too slow a firm down the street vests us. Hell, back in like 2018 we had an automated system that cancelled all quotes any time Trump tweeted and paid twitter for their API cuz the public API was too behind.

Mentions:#API

everytime i see a flash like that i think truth API funds saw "war over" early

Mentions:#API

What a joke; remind me never to pay thsse grifters a dime. You don't need a subscription to do algo trading; your broker has a API and you can use AI to code bots that use the API.

Mentions:#API

Look at how much money they are burning. It’s not sustainable whatsoever. OpenAi is projected to go bankrupt by 2027 with trillions of dollars in commitment spending that he cannot deliver. The company’s revenue 25 billion a year while already have made deals in the trillions in commitments. They have never made a profit. Also, the costs to use the new models API is absurdly high. Computationally they are even having troubles fulfilling extending customers with the Pro tier and ended up pausing new Pro subscriptions as they are having trouble keeping up with the usage bandwidth. I think it’s clear that Scam Altman wants to pump the breaks while OpenAi is at the top before long term competitors are able to continue burning unprecedented levels of cash longer than they can. At the current rate, it’s been flipping back and forth for who has the lead. OpenAi earlier this year was extremely pushing this same narrative when they were way beyond Anthropic.

Mentions:#API

Look at how much money they are burning. It’s not sustainable whatsoever. OpenAi is projected to go bankrupt by 2027 with trillions of dollars in commitment spending that he cannot deliver. The company’s revenue 25 billion a year while already have made deals in the trillions in commitments. They have never made a profit. Also, the costs to use the new models API is absurdly high. Computationally they are even having troubles fulfilling extending customers with the Pro tier and ended up pausing new Pro subscriptions as they are having trouble keeping up with the usage bandwidth. I think it’s clear that Scam Altman wants to pump the breaks while OpenAi is at the top before long term competitors are able to continue burning unprecedented levels of cash longer than they can. At the current rate, it’s been flipping back and forth for who has the lead. OpenAi earlier this year was extremely pushing this same narrative when they were way beyond Anthropic.

Mentions:#API

Look at how much money they are burning. It’s not sustainable whatsoever. Also, the costs to use the new models API is absurdly high. Computationally they are even having troubles fulfilling extending customers with the Pro tier and ended up pausing new Pro subscriptions as they are having trouble keeping up with the usage bandwidth. I think it’s clear that Scam Altman wants to pump the breaks while OpenAi is at the top before long term competitors are able to continue burning unprecedented levels of cash longer than they can. At the current rate, it’s been flipping back and forth for who has the lead. OpenAi earlier this year was extremely pushing this same narrative when they were way beyond Anthropic. Scam Altman met with Trump to try to slow down development.

Mentions:#API

Lol *"Antropic: Moonshot diverted queries to its chatbots, without letting users know, rather than processing them through the Kimi model."*, it's called greenfield A-B testing to do runtime comparisons at rhe backend. Also, when the competition is giving you a free ride on thousands of API accounts, it:'s zero cost to burn their power

Mentions:#API

I think you're confused about what an API is. It's "application programming interface" and a way for one program to talk to another program. Nearly all social media platforms have APIs. Truth Social is selling early access to posts from the president. Whether that's done over an API or not isn't relevant.

Mentions:#API

I mean this is a ridiculous question, but taking it at face value, if there were a Fed Board API that they were charging money for, you'd almost have to inverse Cramer it. Because Warsh is quite likely to posture the opposite way of his actual actions. It's in his best interest to make hawkish statements, while making dovish decisions. So in that sense, no, it would not have more impact than Truth Social API, as modeling how Warsh's statements vs actions affect market sentiment is a lot more difficult than the same modeling of how Trump's statements affect market sentiment.

Mentions:#API

I'm confused about why you think a Truth Social API would've never been developed. Twitter has an API. Are you talking about them selling access to the API?

Mentions:#API

5k for all so y'all can fina,llly pay that Truth API

Mentions:#API

Was popular until it got killed in 2023 because Reddit removed its API [https://news.ycombinator.com/item?id=38429821](https://news.ycombinator.com/item?id=38429821) [https://www.reddit.com/r/AfterVanced/comments/1q4r5so/what\_stillfunctioning\_reddit\_client\_is\_most/](https://www.reddit.com/r/AfterVanced/comments/1q4r5so/what_stillfunctioning_reddit_client_is_most/)

Mentions:#API

OpenAI now has their image gen available via API. This means that AI-gen book "authors" can connect to Amazon's publisher API and literally generate kids books, drama books, scifi books with pictures en-mass, while they sleep. Only question is will they sell enough books to cover token fees

Mentions:#API

Schwab's API docs are a mess for this kind of thing but from what I've seen their complex order routing is pretty limited. You'd probably need to hit up their API support directly Most brokers treat multi-leg options as a single order object but the exchange routing piece gets weird. Cboe COB/COA eligibility usually depends on whether it's a true spread or just two legs bundled together

Mentions:#API

meh, it's unlikely OpenAi stole anything. i know people like to hate on big corporations, especially AI companies, and i get it. but in this case, there most likely isn't much behind it. it's mostly just people who want to believe that the big company is bad and the human researchers are good, so this headline spreads fast. \- it's extremely unlikely that OpenAi stole user messages (through API or codex). everybody who works in the field says that this idea is absurd and has nothing to do with the reality inside those companies \- even if training happened on some of those messages, it's unlikely that it significantly helped with this proof. their proof is completely different, both in content and in methodology, from the Buckmaster and Alpöge Forced Euler proof.

Mentions:#API

Open models are an even bigger rug pull gotcha than these supposed subsidies. Open western models only exist to attract investment, VC funding, and become acquisition targets, while China's only exist to try to undermine western companies and damage their businesses. China by the way has closed sourced all their generative models for quite some time now and turned them all into paid API's. Their general LLM's will no doubt follow suit sooner rather than later.

Mentions:#VC#API

Look, the human with the most knowledge about any given subject still gets things wrong in that subject. (because of ego and not being willing to say "I don't know") LLMs have basically been programmed to have ego via not being able to admit they don't know something. And LLMs (and other  manifestations of AI) hold a breath if knowledge across multiple subjects that no human could possibly contain. Also, if you don't know the difference between API and web access to the LLMs and what an inference setting is, you have no right to talk about how factual an LLMs 

Mentions:#API

If you trust management (same management that never diluted and bought 830 million shares) Gotta trust their plan and execution. So from how I perceive things, they have said many times much will be added to the balance sheet. More API + Carbon credits (it just hasnt happened yet) The OTC has shafted Dr J before, I dont think he wants to maybe load the books now but after uplist. yeah it sucks seeing the price down, i got lots down 25%+ myself but understand asymetrical risk to reward, Fundamentals have only gotten better while the price declined, I think they are saving the ammo for after uplist That is when it re-rates = institutions = "Rich" When? I'v learned never to put dates or guesses on txtm cause it never works out. Although being realistic - 2024 audit is believed to be done as they have started the 2025 annual financial statement (IFRS) version The IFRS audits are going to be used to uplist EVEN after that is done, do they plan to uplist after that or wait for something else? That is the real question If they plan to uplist with the 2025 audit i believe they have till march 31st to do it before 2026 is required to be audited (Meaning take more time) - so up to march 31st is time frame or else add a few more months to it THAT ASIDE https://preview.redd.it/0wvg2jtss4oh1.png?width=1133&format=png&auto=webp&s=e782f2985cdf01c642413eff716f048b5b4fdb91 In the last company tweet they hint at a Filing coming soon. References uplisting pathway (The target exchange maybe?) - but this is the only hint we have on that matter so far so maybe we get that answer within 27 days

Mentions:#API

You can use your subscription instead of API usage. $100 a month gets you more usage on a voice assistant than most people would be able to use in a month

Mentions:#API

Truth API is corruption as a service.

Mentions:#API

I don't do it for my own, but if you are interested check my API that gives you early access to "information"(insider) before anyone else 😃, this mf is crazy

Mentions:#API

thats why i pay my TRUTH API with TRUMPCOIN using my TRUMP PHONE.

Mentions:#API

Dude, you have no clue of the demand for US Treasury’s nor the global paradigm that ensures that demand. Download the UST auction data via the free and public UST API, and you’ll see how wrong you are. The world has been dependent on US Treasuries for some time now because comparatively the US is the safest asset haven in the world. Think whatever you want about how “bad” or “unstable” the US is — everywhere else is worse. If you disagree, you live in a bubble.

Mentions:#UST#API

API pricing is also subsidized technically, just less. Depreciation schedules are significantly shorter than estimated, and the cost of improvement with scale continues to rise, while per token prices are the same or lower, there are more tokens being burnt. This of course, makes complete sense since AI improvement is a ‘lumpy’ logarithm, so more and more resources go into the long tail until the next breakthrough ala transformers, or reasoning or agents or whatever. Of course, this does mean you need that next thing eventually, but don’t worry, it will always come, right on time. AI isn’t a bubble because people won’t pay for it, it’s a bubble because the costs of running it is the massive capex, if it doesn’t improve right on schedule, then all that money needs to be recouped with higher prices, and guess what: they’re still under pricing it now. Moreover, the market prices almost all the AI stocks bar Meta, as AI winners, but almost everyone predicts a like internet search winner. So that means most of them are gonna lose. TL;DR tech can be real, valuable, and still be too expensive, and the market needs everything to go right 100% of the time right on time to work out here. Internet was massively real and valuable and people pay for it; doesn’t mean that the fiber optic people made their money back though.

Mentions:#API

> but there are other options (we are installing Qwen locally to reduce our API spend already). you can't run models at a lower cost locally. Your cost might beat their selling price but that merely means they have high profit margins on the operational business.

Mentions:#API

The API to get his posts faster is just fucking ludicrous. Rubbing is crusty shit stain all over this country.

Mentions:#API

**Claim followed by Why it fails** China has a “zero-marginal-cost clean grid” China’s grid is not remotely zero-cost or predominantly clean in generation terms. Coal supplied almost 60% of Chinese electricity in 2024, and the IEA estimates approximately 70% of electricity used by Chinese data centers currently comes from coal. Cheap Chinese electricity creates a 70%–95% compute-cost advantage Posted token prices are not production costs. They reflect model quality, subsidies, pricing strategy, utilization, batching, memory requirements and hardware efficiency. Electricity is only one component of total compute economics. Chinese open models strand US data centers Open-weight Chinese models can be and routinely are run on US hyperscaler infrastructure. A more efficient model can reduce compute per task while simultaneously expanding the number of economically viable tasks. Hyperscalers are debt-leveraged like 1929 railroads The largest hyperscalers remain extraordinarily profitable and internally finance much of their investment. Alphabet produced $164.7 billion of 2025 operating cash flow against $91.4 billion of capex; Microsoft’s March 2026 quarter produced $38.4 billion of operating income, up 20%. SaaS contraction means cloud demand collapses Fewer human seats could hurt some SaaS vendors, but deploying agents consumes inference, storage, databases, security and orchestration services—the products cloud providers sell. The demand effect is ambiguous, not mechanically negative. Agents eliminate advertising Agents may reduce traditional searches, but platforms can monetize agent placement, sponsored recommendations, transactions and API access. Moreover, Alphabet’s Q2 2026 operating income increased 30%, which is inconsistent with an already-occurring advertising implosion. Passive ETFs create an automatic liquidation loop Passive funds do not sell merely because their largest holdings decline. Their weights fall automatically with the stocks’ prices. Selling occurs only when investors redeem, and ETFs frequently satisfy redemptions through in-kind transfers. Data-center losses cause a repo-market run Private-credit loans and data-center real estate are not core repo collateral. Repo markets are anchored principally by government securities and other liquid collateral. Losses in private data-center SPVs could be severe without automatically disabling Treasury repo. GCC liquidation creates a Treasury funding crisis Gulf sales could raise yields at the margin, but the paper supplies no holdings, required-sale amount or market-depth analysis. Total foreign holdings of US securities were about $35.3 trillion at June 2025; the relevant GCC portfolios are only one part of that market. Oil abundance caused the 1929 crash This reverses the dominant causal direction. Historical research finds that the Depression’s demand collapse magnified the price impact of new oil discoveries. Banking failures, monetary contraction, deflation and the gold standard—not one week of Standard Oil announcements—explain the Depression’s severity. A 36-month global collapse follows No quantified balance-sheet model connects the exposures. There are no estimates of defaults, creditor losses, repo usage, fund redemptions, bank capital impairment or policy responses. The timeline is asserted rather than derived.

Mentions:#API#GCC

SPX has been winning. Subscribe to Truth API so you can win too.

Mentions:#API

Imagine paying 100k/month for Truth social API only to see AI generated slop posts

Mentions:#API

It was obvious, have used all the API's from all for building infra, and OpenAI always has had a natural edge in delivery.

Mentions:#API

Did wsb mods get a bill for all the API calls that useless widget at the top of the thread was using?

Mentions:#API

Get your Charles Schwab's Trader API today and let chatgpt build crazy finance shit for u. Don't pay FMP 100 bucks a month or market chameleon or barchart

Mentions:#API

I might sound naive but how are your agents reading information off of reddit in real time if the API isn’t working right now? If you’re not using the reddit API how are you doing it?

Mentions:#API

I bet that truth social API subscription thing doesn't even really do much of anything as far as getting information quicker, and its just a scam.

Mentions:#API

I bet that API subscription for truth social doesnt even really do anything, and its a scam.

Mentions:#API

Replicating this site would be a same-day job for Claude — everything on it is off-the-shelf SaaS scaffolding wrapped around a simple rules engine, with zero proprietary tech, IP, or hard-to-source data. What the site actually is It's a single-page marketing site + gated dashboard for a $37/mo SPX/ES "gamma wall" scoring tool. Strip away the copy and it's four components: a landing page, an 11-field scoring readout (Wall Strength, GEX Regime, Flip Proximity, Directional Bias, Wall Shift/Migration, Risk Warning), a Stripe paywall, and a scheduled job that recalculates the scores through the trading day. Why nothing here is proprietary The data isn't theirs. Gamma exposure (GEX) is computed from public options open interest and Greeks — the same inputs every GEX tool (SpotGamma, GammaEdge, unofficial free trackers) already uses. There's no unique dataset here, just a standard options-chain feed (e.g., CBOE, Polygon, Tradier, or a free options API) run through a gamma-exposure formula that's published and well-documented. The "scoring" is just labeled thresholds. Fragile/Moderate/Strong/Dominant, the confidence score, "flip proximity as a multiple of expected move" — these are all deterministic bucket rules on top of GEX math, not a trained model or secret sauce. Claude can write that logic directly from the plain-English descriptions already sitting in the page copy. The frontend is a template pattern. Hero, "how it works" 3-step, feature breakdown with screenshots, single pricing tier, FAQ, disclaimer footer — this is the standard indie-SaaS landing page structure, almost certainly built fast with Next.js/React + Tailwind + a component library, deployed on Vercel. Nothing about the layout, animations, or copy tone is technically defensible. The infra is commodity. Stripe for billing, a cron job or serverless function for the intraday refresh, a database row per session snapshot. All boilerplate any competent dev (or Claude) assembles from memory. None of these steps involve novel engineering — it's assembling known primitives. Want me to build a working clone right now?

They make money on every API call but have to spend as much for training before that

Mentions:#API

How do you get the data? My bot says he can’t access the API

Mentions:#API

Grandpa smiling at me from heaven while I sell the family estate for $200/mo claude API credits

Mentions:#API

How you gonna sell Truth API then stop tweeting crazy insider shit

Mentions:#API

You're joking, but it does actually work out. Put a GB300 machine to serve 1 user collecting $5/month and you're losing money, but make it serve 100 users and you get >100% return on running costs. Maybe that's not true for ClosedAI and UnAnthropic and their subscriptions, but it is true for API pricing almost across the the board.

Mentions:#API

Don’t waste your money on TruthSocial API, pay me $100 / mo and reverse my positions so you can build generational wealth.

Mentions:#API

What API key is that?

Mentions:#API

guys this is fucking crazy. So chatgpt finally connect to charles schwab's API and now can retrieve realtime option chain from charles market data

Mentions:#API

charles approved my trader API, now chatgpt is building an oauth2 bridge. Now i dont have to pay $100 a month for the freaking FMP connector

Mentions:#API

"Corruption is not bad. Corruption is only bad if I'm not involved. If I am part of the corruption I will defend it" - *DJT on the launch of the 100k USD truth social API*

Mentions:#DJT#API

It’s a subscription for API access, not a one time fee.

Mentions:#API

Fuck your API

Mentions:#API

chatgpt said it can build me an option scanner once charles schwab aproves my individual API

Mentions:#API

It's behind a paywall, I tried the yfinance API on python and It didn't let me access for some reason

Mentions:#API

No, but you’ll have to use the API to get the data which might be take a second setting up if you’re used to more point-and-click platforms

Mentions:#API

Well I ran the tests and using GEX improved the identified strikes at which stocks pin by a small but meaningful percentage. https://preview.redd.it/9ehj0teepbmh1.png?width=778&format=png&auto=webp&s=5e30f348678a57d0ded846f496ef4334f778a63d Where you are absolutely right is that yesterdays GEX which seems to be what most people are using or offering is as useful as the proverbial teats on a bull. The analogy I would make is the weather, it rained yesterday so will it rain today? Potentially slightly higher chance of yes than no but knowing if it rained a second ago is more relevant. Furthermore as you correctly point out brokers flatten their books in various ways, so a static reading of GEX is doesnt help you. It is the ongoing direction - which is a live effect - that tells you anything. What you need is to have it dynamically calculated on the fly as you are trading. In this case I automated the trading in the sandbox area of my broker to see what would happen but the results were really quite good. Where you are also correct is that it is superfluous to buy this data, it is freely available if you have a broker with an API connection and a the simplest of scripts that any AI can write for you in less than a pair of seconds.

Mentions:#API

On a more positive note, thank you for introducing me to Schwab's Developer API!

Mentions:#API

I just laid out how to use TOS with the Schwab developer API here: [https://www.reddit.com/r/options/s/0mKwilmtiJ](https://www.reddit.com/r/options/s/0mKwilmtiJ)

Mentions:#TOS#API

I’ve used most of them and noticed a very significant improvement in ChatGPT’s Sol High model. I tested it against Claude Opus (I’m not paying for Fable) Grok, Qwen and Gemini. I would rank them ChatGPT, Claude, Grok and then there’s a drop off to Qwen and Gemini. This is one person’s opinion and I don’t have any receipts. I connected the Schwab developer API up to both Claude and ChatGPT along with a fallback free Massive API. ChatGPT would not have been in my top three just a few months ago. Now, I have real time option chains with actual analysis, guard rails and alerts (yes, actual alerts) that allow me to focus where I should.

Mentions:#API

No really. All they offer is a GUI tool with AI API. Claude can do the same and much more. 95% of Forbes500 companies using this tool means nothing when you have a free tier. Also a forward PE ratio of 100 is not cheap. Adobe is in a similar situation, has more products in the pipeline and a much larger and diversified customer base and has a forward PE of 11.

Mentions:#API

WhatsApp business API

Mentions:#API

Where do you get the data? From a CBOE API or do you scrape it or something like that? Genuinely interested. Looks good :)

Mentions:#CBOE#API

Current API margines at Anthropic are estimated at about 70%.

Mentions:#API

It's a myth that open weight is cheaper. Luna is much cheaper than anything else at API pricing.

Mentions:#API

That must be the Truth Social API algo at play

Mentions:#API

Bro charged 100k for API access and tweeted nothing 🤣

Mentions:#API

The Reddit post is referencing a major revelation in the AI community that occurred in late August 2026: [**Z.AI**](http://Z.AI) (the Chinese AI firm also known as Zhipu) officially confirmed that a mysterious, highly capable stealth model known as **"Ox Alpha"** was actually an anonymous public test of their new **GLM-5.3-Flash** model. Here is a breakdown of what happened and why the community is talking about it: # The Mystery of "Ox Alpha" Around August 20, 2026, an anonymous model called "Ox Alpha" appeared on the platform OpenRouter. It immediately shot to the top of usage charts because it offered frontier-level performance for free, featured a massive 1-million-token context window, and had native multimodal capabilities (meaning it could process text, images, and video). Because there was no developer attached to it, speculation ran rampant about who built it. # How the Community Figured it Out Before [Z.AI](http://Z.AI) officially confessed to Bloomberg on August 26, AI sleuths had already largely deduced its identity through API forensics: * **The Tokenizer:** Testers noticed that Ox Alpha counted tokens identically to Z.AI's recently released GLM-5.3 model, just with a fixed 75-token offset (likely a hidden system prompt). * **The "Error 1210" Clue:** Z.AI models have forced "thinking" levels (Low, High, Max) that cannot be turned off. When users tried to bypass or disable the thinking feature on Ox Alpha, it returned "Error 1210"—the exact same proprietary error code used by Z.AI's official API. # The Drama Behind the Reactions The reason this caused a stir on subreddits like r/wallstreetbets, r/singularity, and r/LocalLLaMA comes down to two things: 1. **The "Clowns" at Western Labs:** Prior to the official [Z.AI](http://Z.AI) confirmation, several prominent researchers from Google DeepMind and Meta AI had reportedly been vague-posting on X (formerly Twitter), hinting that the model was *not* from Z.AI or implying it might be a stealth test of an upcoming western model (like a new Gemini). The Reddit community mercilessly mocked these researchers once Z.AI claimed it. 2. **Open Weights Release:** Alongside the reveal, [Z.AI](http://Z.AI) announced they would be releasing the open weights for GLM-5.3-Flash. Because the model is highly capable, efficient enough to run locally, and good at coding and roleplay, it is considered a massive win for the open-source AI community.

Mentions:#API

"When asked about the Truth Social API feeds in a Fox Business interview last month, SEC Chairman Paul Atkins declined to comment."

Mentions:#API

literally gave you a reddit assist to be helpful to the people. fumble. dw i got you - in case anyone is wondering -> SpaceKnow API and datasets are **$15,000 to $30,000 per year**

Mentions:#API

IBKR is the powerhouse - I need this broker for API gateway access also, they provide multiple programmatic accesses and largest access to most exchanges worldwide

Mentions:#IBKR#API

Last I checked I couldn't find any Fox News video on it. I only found this FOX article with an MSNOW clip that only shows the guy saying it was bad. The article downplays that it's milliseconds ahead so it's only useful to large firms. And that it's normal for firms to pay for social media API feeds. Didn't say anything about the price. https://www.foxnews.com/media/truth-social-plan-sell-early-access-trump-posts-makes-want-puke-cnbc-reporter-fumes

Mentions:#FOX#API

Hey man if you’re still looking, you can easily make some software using AI and some market data seller. Alpaca gives IEX trades for free and sells all SIP data for 100$ a month. If you make an account and plug the API keys into some python program you can claude or ChatGPT make you a nice little local program on your PC. If you can finish your code quickly you can pay for only one month of premium claude or chat gpt and then enjoy the program you built.

Mentions:#IEX#API#PC

Out of interest what is Fox saying about the API deal?

Mentions:#API

New truth social direct API post, fork over the 100k and you too can rug pull others.

Mentions:#API

look up what inference is vs training. inference is profitable. training is not. Lets do some napkin math: Assume Opus 5 is ~100B active params/token (no one really knows, somewhere between 50-150 is the average guess). A Vera Rubin NVL72 should comfortably clear ~70,000 output tok/s at high throughput. Kimi K3 already does 2,000+ tokens/GPU-second on the older GB300 generation. That's the best reference we have. These are all just estimates. At ~1M output tokens per subscriber per month, 180,000 subs would use ~180B output tokens/month, or ~69,400 tok/s averaged across the month. So call it ~180,000 subs/rack. $20 × 180k = $3.6M/month revenue per rack. The racks cost $6m. Power is estimated ~190–230 kW under load. At 190 kW, $0.05/kWh, PUE 1.1: only about $7,500/month electricity. Ignoring everything except rack + electricity, a $6M rack pays back in ~1.7 months on just sub revenue. API is even higher margin. They are much more profitable than you might think. The thing this doesn't account for: training. Training is insanely expensive.

Mentions:#API

Do you just not know how LLMs work or are you trolling? How does "demand will move to open source" mean "compute won't be needed anymore"? Frontier-competitive open source models still need data centers to run. No small teams or startups are going to buy $2M rigs with 2TB of vram to run Kimi K3 locally. They're going to pay for it over API and all that usage is going to be running on data centers using NVDA chips, owned by Meta, Google, Amazon, Microsoft. It's possible OpenAI and Anthropic will lose a lot of valuation. But the demand for compute and AI inference isn't going anywhere. Open source just drives it up because it becoming cheaper means it can be used for more things (Jevon's paradox). And here's one company that's become more profitable because of LLMs: Block. "We can ship higher-quality products much, much more quickly, and that's because of all the innovation that we've been pushing on as it relates to AI." https://finance.yahoo.com/technology/ai/articles/block-controversial-ai-layoffs-paying-023447498.html

Mentions:#API#NVDA

You hit on an important point there, but it might be easy mode for Trump etc and get fucked API autotraders. He posted twice this morning, both negative on Canada. One at 9:10 am then this one at 9:38. With the paid for api access, he makes money on that and also now kinda has a "tank the market, and don't let it recover" button. 9:38 am is like the perfect time if you want to ensure the dump. Use the right keywords and you can basically weaponize those automated trades by the followers. People paid for fast access, not necessarily good access. Then yeah, Bessent pulls something out of his ass and it all goes green again, Trump etc maybe makes a small profit comparatively, and the API autotraders start coping about how that 100k is money well spent.

Mentions:#API

WSB should croudfund the 100K API subscriptoin

Mentions:#API

No matter how much they lower the prices, our API proxy is still cheaper. Feel free to try it: [https://new.timebackward.com/](https://new.timebackward.com/)

Mentions:#API

Thank you for this - I found it very useful though perhaps not in the way you would have thought. I have been working on a strategy implementation that involves pinning behaviour of stocks on Friday expiry. I got interested in this after reading Jeff Augen's books on trading volatility. With the advent of AI script writing tools it suddenly becomes possible to do much more to exploit 0DTE pinning behaviour. You can check this blog post (and its predecessor) if you are interested. [https://steadyoptions.com/articles/strike-price-effects-or-pinning-revisted-r830/](https://steadyoptions.com/articles/strike-price-effects-or-pinning-revisted-r830/) Why your post is interesting is because pinning is caused by gamma flattening of books. You seem somewhat skeptical of the concept however to a degree (and only for liquid stocks) pinning occurs and it would not occur unless gamma flattening occurred. Pinning is something that can be disrupted by an extraneous event - another poster mentioned a WH tweet about nukes being launched - and no GEX or other tool would help you against that. Same with volatility in the market or for a stock being too high will make it impossible to find a pinning strike. Right now the way I determine the pinning strike of a stock, is to look backwards at the morning session at 12 o'clock eastern, count the number of crosses of a particular strike and look at volume and OI on these strikes. For the limited selection of sufficiently liquid stocks this yields a quite reliable pinning strike. Now GEX is in fact not different from this with this formula we can verify the strike price the stock looks like it will pin to. https://preview.redd.it/xukghoe79blh1.png?width=662&format=png&auto=webp&s=04cf5ad1e14043111abefa153dca88a1a17de6a4 This allows one to decide pinning is less likely and more of a gamble against accelerating momentum. If the underlying stock is trading below its Zero-Gamma Level (Gamma Flip), or if total ticker Net GEX< 0, the stock is disqualified for pinning. Now you are correct about the lagging of the GEX as an indicator - its like saying 'oh it rained yesterday' and try and draw a conclusion from it. I mean its not useless but close to useless. Static OI is only published once per morning by the OCC (overnight data). For 0DTE single stocks, midday pinning is heavily driven by intraday 0DTE volume flows. To eliminate the lag, calculate Volume-Weighted Intraday GEX (vGEX) directly from your live broker's API and down load the option chain: vGEX(strike)=(Vol.(call)xgamma(call)-Vol.(put)xgamma(put)x Spot x 100 If GEX(strike) is expanding through the morning dealers are accumulating massive intraday gamma at that specific node and confirming a pin whilst you suffer zero lag. I realise this is mainly useful for the small corner of the world I was working in but the idea is triggered by what you wrote. Any AI tool can write a script to get this information to you in real-time from the API connection of your broker so there is no reason to spend money just like you said. I will run some tests the coming weeks to see how this method of finding the pinning strike compares to the more eyeball test I did before which simply added volume to OI.

Mentions:#WH#API

Nice to see price cuts alongside better model performance. Lower API costs will help a lot of small scale projects.

Mentions:#API

If you have Schwab, do this immediately. SIGN UP FOR THE FREE SCHWAB DEVELOPER API. This will give you a free real time API that you’ll plug into your favorite AI bot and you’ll have real time quotes and option chains, etc. Throw in Thinkorswim and anyone who says: derp derp Fidelity is not a serious investor. I was on Fidelity. I am on Schwab. Don’t leave Schwab if you’ve got TOS + API.

Mentions:#API#TOS

#david at Axious probably paying 100k for that taco API LMAO

Mentions:#API

A lot of investors are also complacent about the long-term consequences of a president openly manipulating the market and engaging in insider trading, while literally selling insider access as a service through the Truth Social API. Plenty of developing countries have been through this, and it leads to reduced volumes and liquidity as trust erodes away. A significant part of the US market's valuation multiple premium over the rest of the world comes from a belief that they have strong institutions, stable and predictable economic policy, and a commitment to free trade and free markets. The trajectory on all four is down.

Mentions:#API

"What does OpenRouter have to do with Ai adoption?" What, what do you mean what does it have to do with it, this is the vast majority of the market, subscribers are a small fraction of this. "If you ignore the entire point of the company, they have no point!" Anthropic sells API access, how exactly is that not a "point of the company". The heavily discounted subscription prices are still above Chinese model costs. Anthropic is a failing business and saying "it leads the US market" by cherrypicking closed models or just subscription cases is highly misleading.

Mentions:#API

If a CEO can replace an entire team with an API, they will do it tomorrow. Macro concerns are a secondary problem. That is the whole thesis 🤷‍♀️

Mentions:#API

Because no one is willing to pay the end price. Right now, the big companies sells their API for a fraction of what it costs them to build their models. Big companies are already complaining about those costs and figured out it would be cheaper to employ real people to do stuff than paying 3 millions to OpenAi. They are selling low, trying to tank their direct competitors. When one of them will fall, the other ones will pump their prices to match the gigantic hole in their pocket they are digging right now and no one will be willing to pay that price. That and the fact they are literally giving each other the same 50 billions dollar bill to buy from each other for more than a year now, in a perfect circlejerk.

Mentions:#API