API

Bumst3r

Lmao saved by the API limit

Reckless-Curiosity

I decided to have Grok review their terms agreement... I think I'm going to start writing my own API's. They can essentially do whatever they want... F--- that... **Yes, the terms grant Option Alpha a very broad license to use, reuse, modify, exploit, and even sell or distribute customer-created User Automations (bots), including without further notice or compensation to the customer.** # Key Provisions from the Agreement 1. **User Automations Are Treated as Company Proprietary Content** * The agreement repeatedly refers to User Automations as part of the “Services” and states they “represent the **proprietary content of the Company**.” * Users are explicitly told they **cannot claim ownership or intellectual property rights** in any User Automation (including its contents). * Users may share them freely with *other users on the Website* (non-commercially), but they **may not use them outside the Website**. 2. **Broad License Granted by Users to the Company (“Your License to Us”)** * By posting or submitting any material — **explicitly including “the contents of any User Automation”** — users grant Option Alpha: * An **unlimited, royalty-free, perpetual, irrevocable, non-exclusive, unrestricted, worldwide license**. * To **use, copy, modify, transmit, sell, exploit, create derivative works from, distribute, and/or publicly perform or display** such contributions. * **For any purpose**, in any manner or medium (now known or future). * This license applies even if the user created the bot themselves. 3. **No Requirement for Specific Knowledge or Additional Consent** * Agreement to the Terms of Use (which happens by using the Services/Website) binds users to these provisions. * There is no requirement in the terms that Option Alpha must notify users each time they reuse, modify, or exploit a specific automation. * The license is **perpetual and irrevocable**, so even if a user deletes their account or stops using the service, the license remains in effect. # Other Relevant Context * The company disclaims almost all liability and gives itself broad termination rights. * Users are prohibited from using the automations commercially outside the platform or claiming ownership. * Intellectual property rights in the Services (which include User Automations) are heavily asserted by Option Alpha. # Bottom Line Option Alpha does **not** need to “steal” the bots in a legal sense — the terms give them explicit, extremely broad permission to reuse, modify, sell, or otherwise exploit customer-created User Automations as they see fit. This is done via the license users grant simply by participating in the platform and submitting/posting their automations. It is not required to obtain separate, specific, or ongoing consent from individual customers. If you are a user concerned about this, you should review the full terms (especially the sections on Intellectual Property Rights and “Your License to Us”) and consider whether to submit any automations or use features that involve creating/sharing them. Legal interpretation can depend on jurisdiction, but based on the plain language of the provided agreement, the company has strong contractual rights here.

Say_no_to_doritos

If you give it API access a lot can go wrong. 

eltoda

You can make up this money by exposing your trades via API so rest of us can inverse it, you get subscription fee! Win-Win!

InspectorDabbit_

Why is there such a huge discrepancy between RH and what this thread's API is showing, LOL

zjz

hmmm ngl I didn't test it on phone because I figured the basic tts API would work anywhere. It works on desktop. Will have to take a look

Kevcky

Yes, you just run it locally. It’s opensource. Maybe check third parties like openrouter, they might have API keys of this model where it’s not hosted in China.

kwijibokwijibo

Nope. US production is of a different API gravity and sourness Not comparable. Not fungible

dont--panic

Naturally if something is cheaper people will use more of it, but if they're paying API rates they'll use frontier models as little as possible, and local AI for as much as they can get away with.

Joey23art

> if priced at standard API rates The API rates are not being set at cost. The API rates leave a massive profit margin. This would be like saying using a $20 Gamepass subscription to play a few hours each of 10 different $60 games meant Microsoft lost $600.

st11es

I reviewed their employees on LinkedIn, nothing outstanding. They are operating at a significant loss. Their WithZeta ai tool is literally a claude API wrapper that scans through PubMed and Orphanet api’s. I bet you that if I connect those API’s myself it won’t be any different from WithZeta. The company looks so sketchy. Who puts a Nasdaq ticker on their LinkedIn page… there are many other oncology research companies. I’m going to submit an investigation to this company. Too sketchy

FullOf_Bad_Ideas

Actually I think the bulk of spend is in agentic coding and every percentage matters there. People consistently want Opus over Sonnet and Fable over Opus given the chance if they don't see API costs.

Confident-Mistake400

Mine too. Some API calls cost us 50$/call and that was the last straw

DrewHoov

I also don’t understand what makes them a desirable acquisition. composer is just fine-tuned kimi. otherwise, they’re a wrapper of vs code with their own agent harness (which, I think the harness is good, but it certainly is not a moat, especially since IME you have to pay API rates with frontier models for the harness to work well).

ryanpaulowenirl

So basically you've got a Cloudflare Worker firing every 10 mins, hits the Claude API with your open positions and says find anything worth flagging. Claude searches for news, checks price movement, decides if it actually matters. If it does, it surfaces it next time you open Claude. If not, nothing happens. The clever bit is the database. Every trade you make gets logged, entry, reasoning, outcome, what the market was doing. Claude reads that before every check so over time it actually learns what signals matter for how you trade specifically. Stops being a generic lookup tool and starts being something that knows your edge. Cloudflare for the timer, Claude for the brain, a simple database for the memory. Pennies a day to run.

thenet1

TESTE DE AUTENTICACAO — comentario feito via API/cookies por /u/thenet1 com ajuda de um script local. Pode ignorar ou pedir delete se incomodar. (Nerevar/Argos automated test, 2026-06-15 12:14 GMT-3)

InitiativeGlum2507

Okay it's been a couple of days now: u/zjz **ADMIN** **- HOW THE FUCK DO I REMOVE THE STOCK PANEL API FROM DAILY DISCUSSION. GET THIS BULLSHIT OUT OF HERE.**

WinningWatchlist

I work at a multinational tech company, that's exactly how it works lol. The average office worker gets subscriptions, workers who need token based usage (like software engineers) get billed by API credits. "ai companies who’s ai budget that was supposed to last for the entire year" This is what I'm asking about lol, what do you mean by "AI budget" in this context? Token usage?

MDCCCLV

They lose money on the monthly plans, the enterprise plans where you pay the API rate per token, usually 20x as much as the monthly cost per token, are what the companies all want in the end. Those are the ones where people accidentally spent tens of millions in a month.

Weak_Emu3659

"The docusign-white house API had a bug, deal postponed"

otw

It feels like marketing to me. On their main models it's really clear they try to run it on cheaper hardware to save money (especially over time). Fable felt like it was running on really high tier hardware sparing no expense similar the Opus fast mode or higher tier API customers. I assumed this was just gonna be marketing for the first week or two and then they'd move it to more cost effective hardware. It seemed really convenient they had to pull it and could blame it on something external instead of what was likely going to be the truth: this model's real cost would exceed what anyone was willing to pay or the performance would have to dip to compensate. They were able to preview it while they wait for cheaper hardware to spin up right before their IPO and blame it on "the model being too good." It just seems too perfect. We also didn't really have enough time with it to properly benchmark it so it's really hard to even say how much better it is than Opus once controlling for other factors.

Vaxtin

Amazon hosts their models on Bedrock. At my company we use AWS to integrate LLM instead of Anthropic/OpenAI’s API. You also get access to other models, like Google’s legacy ones that are still relatively good for simple tasks but are orders of magnitudes cheaper

dsstrainer

You are right it has made some larger changes in the past few years. But for most of the 2000s it was stuck. They purchased a handful of companies like verisign and some other ecom billings but had no idea how to integrate into their system, which itself was cobbled together with bubble gum and popsicle sticks. Im a sw developer and for a period of time I created e-commerce integrations with many of their services. Every service they offered had a wildly different API, backend, restrictions/requirements. Some were drastically outdated and easily fooled by editing form data. They still have some of these antiquated services, but yes more recently they're newer services have been better. Their supprt and fraud department was always clueless and useless for sellers. Always favored buyers (to be fair the global resit card system isn't much better) They are just too big to fail because they've been around forever and most online stores still offer some form of paypal.

hoodha

One guy on YouTube is pissed because he sunk something like 10k into API tokens.

Somsanite7

i think most of the american tech firms are weird and this act was only one of many others, now you just can buy the API license later no subsidize any more, dont overthink a bunch of fraudsters with endless money

euro1127

I mean let's face it fable was always gonna be a two tier AI model us poor's could never afford especially with the crazy API costs. I forgot to turn off extra usage and a 6 min run was $24. So once the gravy train ended on the 22nd it would have only realistically been accessible to those with the funds

CompleteReality50

I want software that can give me an accurate view of how my portfolio is doing. My portfolio is spread over multiple brokerages. So I need something that can aggregate all of this and show me interesting things about my portfolio performance, weights for different things. Answer any type of free form natural language questions I might throw at it. The catch is I want all of this to happen offline purely from me feeding it monthly pdf statements. I’m not going to give it the password or API access to my brokerage accounts. Because I want it offline, this has to be done with local LLMs (not sending my financial data to OpenAI or Anthropic). I’d build this on my own if I had the time.

__pickle_rick

I went ahead and linked myself directly to your brokerage's API to draft a limit order slightly below the current market price. Just give me the green light, and my algorithms will execute the trade for you instantly.

InitiativeGlum2507

Imagine instead of building an auto-reload daily discussion, you build the world's shittiest stock window API

jackcatalyst

Guess I'm hanging here today to see what happens with this dumb ipo. I only have one share of API which is up %40 so you plebs should feel blessed I'm hanging out with you losers today.

StrongPomegranate968

Try the you.com finance research API

Outrageous-Ad-3525

1. Das "Vendor Financing"-Warnsignal (Zirkuläre Deals) Ein extrem heißer Indikator ist das Phänomen, bei dem große Chiphersteller oder Cloud-Riesen massiv Geld in kleinere KI-Startups investieren – unter der impliziten (oder expliziten) Bedingung, dass dieses Geld sofort wieder für den Kauf von deren Chips oder Cloud-Kapazitäten ausgegeben wird. Der Indikator: Sobald diese zirkulären Deals ins Visier der Börsenaufsicht geraten, Verträge umgeschrieben werden müssen oder Startups trotz dieser "Finanzierungsspritzen" die Rechnungen der Tech-Giganten nicht mehr bezahlen können, brennt die Hütte. 2. Radikaler Strategiewechsel bei den CIOs (Unternehmens-IT) Die großen Tech-Konzerne leben aktuell von den gigantischen Budgets der Enterprise-Kunden (Banken, Versicherungen, Industrie), die panisch alles kaufen, wo "KI" draufsteht, um den Anschluss nicht zu verpassen. Der Indikator: Wenn in den Quartalsberichten und Umfragen unter IT-Chefs (CIOs) auffällt, dass Budgets von "Experimentieren und Lizenzen kaufen" massiv zusammengestrichen werden auf "nur noch halten, was nachweislich ROI (Umsatzrendite) bringt". Wenn die Verlängerungsraten (Renewal Rates) von teuren KI-Software-Abos im B2B-Bereich einbrechen, ist das der Anfang vom Ende der Nachfrage. 3. "Local AI" frisst die Cloud-Umsätze Die Monetarisierungsstrategie von OpenAI, Microsoft und Co. basiert darauf, dass jeder Nutzer für jeden Prompt ein paar Cent über deren Cloud-Server schickt. Allerdings werden lokale Open-Source-Modelle, die direkt auf Laptops oder Firmen-Servern laufen, rasant besser, privater und kostenloser. Der Indikator: Ein spürbarer Rückgang des API-Traffics bei den großen Cloud-Modellen. Wenn Firmen merken, dass sie für 80 % der Standard-Aufgaben keine teure Cloud-Infrastruktur mehr mieten müssen, bricht das geplante Umsatzmodell der Hyperscaler in sich zusammen. 4. Der "Krieg um die Steckdose" eskaliert oder stoppt KI-Rechenzentren haben einen absurd hohen Strombedarf. Betreiber versuchen teilweise schon, eigene Kraftwerke zu kaufen oder beantragen gigantische Kapazitäten am Stromnetz. Der Indikator: Wenn Projekte reihenweise storniert oder um Jahre verschoben werden, weil die physische Netzinfrastruktur den Strom schlicht nicht liefern kann. Ein Wachstumsstopp durch Energiemangel zwingt die Tech-Firmen, ihre utopischen Umsatzprognosen für die Folgejahre massiv nach unten zu korrigieren. 5. Private-Equity- und Venture-Capital-Flucht Bevor die Masse an der Börse reagiert, ziehen die professionellen Wagniskapitalgeber (VCs) im Hintergrund die Reißleine. Der Indikator: Wenn die Bewertungen von nicht-börsennotierten KI-Startups in den Finanzierungsrunden plötzlich stark einbrechen (sogenannte Down Rounds) oder namhafte VCs anfangen, ihre Anteile auf Sekundärmärkten mit herben Abschlägen zu verkaufen, um überhaupt noch Cash zu sichern. Zusammenfassend: Wenn du liest, dass B2B-Kunden ihre KI-Abos nicht verlängern, weil die Produktivitätsgewinne ausbleiben, und gleichzeitig die ersten Rechenzentren wegen Strommangel oder Überkapazitäten gedrosselt werden – dann hat das Platzen offiziell begonnen.

Consistent_Bottle_40

Chatgpt is the best if you have access to the 5.5 pro I got claude, gemini and chatgpt as I do a lot of coding via their IDEs. Gemini is real dumb and hallucinates a lot. lot. 5.5 pro is better than claude opus. Claude fable 5 may be better, but its only on subscription plans for 2 weeks then its API only. Gpt 5.6 will come out soon I think.

TheKingInTheNorth

I think it’s just telling us that the market believes AI is real is the more trusted bet now. That’s a more painful future for MSFT. Azure growth is great, but almost all of their AI growth is in OAI services that they now have an awful relationship with. Their native models and infrastructure services lag behind their peers without those hosted GPT API services. And if it means the future doesn’t give a shift about Windows or their productivity suite of software, they’re fucked.

BiggestPixel

u/No_Fox9998 chain premiums are theoretical Black-Scholes estimates, not live market prices. Only the stock price is pulled via API. You can manually enter the actual premium from your broker to get an accurate P/L model.

cutemarketscom

Nice! Thanks for sharing. Which data API are you using?

blabberboy

My prediction is at least one frontier lab will: \- cut their prices to serve their model APIs roughly at cost, but only release their older models in the API \- newer (industry vertical specific) models will initially only be available on Enterprise/subscription plans that have big margins. This will help them prevent model distillation (where others can nearly replicate their models without their training costs/effort), allow them to show large usage/growth/retention, and simultaneously show growing margins in certain areas that investors love (enterprise ARR). However this plan will only work if their newer models are significantly better for specific types of enterprises (i.e. AI keeps advancing) in ways that open-source cannot keep up. I do believe that trend will hold for at least the next few years. The big economic challenge for model providers is that different tokens provide very different amounts of value, and they are still figuring out how to charge appropriately for the value their tokens provide. For AI app/services companies built on top of the model providers, I love the idea of outcome-based-pricing -- curious to see if that becomes a mainstream economic framework.

T_Money

That still works? I thought it got killed when they nuked the API pulls. Might have to check that out

missusamazing

I use the API as a work around, but I have reports that already have all the joins and filters in place, but the 2,000 row limit prevents me from taking those reports directly into Power BI. Sure, I could do this in Power Query, but it's more of a symptom of my workplace trying to force Salesforce to serve as a data warehouse when it's not really meant for that

byebybuy

Are you talking about downloading directly from the user interface? I mean first of all fuck Salesforce, I complain about it every day, but I'm a data engineer and my teams pulls thousands and thousands of records from the Salesforce API daily into external BI and analytical tools. Have Claude or whatever help you find an alternative, there are ways around that limitation.

Next_Instruction_528

Google's AI efforts are ultimately part of the same corporate organism. If burns $20 billion on AI infrastructure, that's an internal decision made by. There's no outside investor expecting a direct return on that specific investment. OpenAI and Microsoft are separate entities with overlapping interests, but they're not the same company. Your assumes the frontier and the commodity tier are in the same competition. They're not really. Sonnet/Haiku class models racing to zero on cost is a different market than Mythos-class capability they serve fundamentally different use cases and the customers paying $50/million output tokens aren't the same customers optimizing for cheapest tokens. The Stripe migration is the best example. That job couldn't be routed to a cheaper model it required sustained 50 million line codebase comprehension over an extended autonomous session. Orchestration couldn't have substituted Haiku there. The whole point is that Mythos-class unlocks jobs that literally didn't exist as AI tasks before. You can't route to the cheapest model for a job that only the frontier model can do. The argument implicitly assumes the value of AI is in answering queries where cost-per-token matters a lot. But the trajectory is clearly toward agentic autonomous work where the relevant metric is cost-per-outcome. If Mythos completes a two-month engineering project in one day, the token cost is essentially irrelevant compared to the value delivered. The economic framing of "race to cheapest tokens" only holds in a world where AI is a question-answering service, which is rapidly becoming the least interesting thing AI does. But also if you're talking about just serving cheap tokens there is nothing that indicates openai will be doing that either. Google can do that better. Google unveiled Gemini 3.5 Flash at I/O 2026, claiming enterprises could save over $1 billion annually by shifting 80% of workloads to a combination of Flash and frontier models. Gemini Flash is structurally cheaper because Google builds its own TPUs, removing dependence on third-party GPU pricing. Even anthropic is doing it better right now. Anthropic's enterprise API market share rose from 12% to 32% as OpenAI's fell from ~50% to 25%. That's a massive shift in a short window, and it's happening specifically in the high-value enterprise segment not the consumer ChatGPT tier.

NostradamuSpeculator

These donkeys call themselves "API-driven algorithmic brokerage" but then they can't even offer bracket orders on options due to "technical challenges".

NostradamuSpeculator

These donkeys call themselves API-driven algorithmic brokerage but can't even offer bracket orders on options due to technical challenges.

ActivatingEMP

What's really rattle me is that the market didn't respond to the API report at all. We've had these HUGE draws for weeks now, where we are pulling 2%+ of all oil in the US and it doesn't move oil a single cent, what the fuck happened to the oil market

WrexyWrex

API reported: Crude:  Down 9.1 mm barrels  (even with SPR down 7.9) > Cushing: Down 1.125 mm barrels Gasoline: Down 1.2 mm barrels Distillates: Up 1.3 mm barrels If they're right: https://x.com/i/status/2064449958707695868

redditissocoolyoyo

Hell yeah free API would be even better! I didn't want to ask and be a leech. But if you're providing it then thank you in advance! I'm going to take your API and cross-ref with my short squeeze algorithm and see what kind of trouble we can get into.

HolidayTangerine2753

API might come soon... I already had it hook up with a CLI to my Hermes agents 😄

Provolone-Jones

If you would’ve told me yesterday that oil would drop 5 points in the morning, that the API data was worse than oil bulls predicted, and that the US would attack Iran, but oil would not pair its losses, I would’ve called you crazy. Alas, I am the crazy one.

Provolone-Jones

Alright who the fuck is actually selling oil to combat the current spike? The API numbers released today show Cushing (WTI commercial storage) is at 20.9 million barrels, with 20 being the operational stress level and 18 being the tank bottom. And the US is currently bombing Iran. How anyone can possibly be bearish oil is beyond me.

creemeeseason

API Inventory Moves 6/9 Crude -9.119 million (exp. -3.4 million) Gasoline -1.191 million Cushing -1.125 million SPR actual -7.9 million

Kurdwadat

API Inventory Moves 6/9 (full version) Crude -9.119 million (exp. -3.4 million) Gasoline -1.191 million Distillates +1.3 million Cushing -1.125 million SPR actual -7.9 million

zjz

I don't blame people for being iffy about it, I trust it since I've seen the guts, but it is kind of unusual. Reddit's engineering and the snaptrade API dude's very expensive SOC2 audits say it's safe. I expect people will slowly filter in if we make the benefits worthwhile. The verified trade post type is genuinely pretty cool. I think people will dig it.

ladal1

At least in coding from my first hand experience - with API pricing (which is still subsidized, just not as much as subscriptions) it's only price effective for work a junior would be able to do. It can do more difficult work but costs a lot, and when you pay for failed output - for which you still need somebody who understands it to validate, it doesn't reduce any jobs, only slightly redirects them In law I've seen it create more work than save, so it's probably similar

Rachel_Paigefe

Government stake in OpenAI would be a huge shift. On one hand, US wants to keep AI leadership vs China, so funding/protecting OpenAI makes strategic sense. On the other hand, OpenAI started as “nonprofit for humanity” - government ownership muddies that mission fast. Big questions: Would it affect API pricing for devs? Would models get censored/politicized? Microsoft already has 27%, now add Uncle Sam to the cap table… If this actually happens, the IPO filing + gov stake news back to back means OpenAI’s cap table is about to look nothing like it did in 2019.

gizamo

90% of Reddit users don't even login, mate. When Reddit kicked 3rd party apps off the API and when Digg announced their (now failed) relaunch, half the users who do actually log in were very clearly ready to jump ship to literally anything. If Xwitter, Bluesky, and crap like Mastadon weren't such a shit show, this place would be a ghost town.

gizamo

Utter nonsense. Google literally scrapes the entire web. Reddit could pull it's API tomorrow, and Google would still be able to index and parse Reddit's own servers better than Reddit can, as demonstrated by their shitty search. Lol. Further, without Google, Reddit loses half it's traffic over night. And, it's not like any AI company can say, "hey, don't steal content" at this point. That shop sailed when all of them stole everything without consequence for 5+ years. Even Disney couldn't win that lawsuit. Pretending Google has a monopoly on search is just ignorant. They don't and can't. What they can do is engage in anti-competitive business practices that favor their search, which is a vastly different argument with vastly different potential legal outcomes. That said, yeah, a mutual deal is most likely, but Reddit has absolutely no leverage over Google. They'll get a deal just because Google is actually a pretty decent business partner when they want to ensure good relationships.

Carlose175

Correct. The models themselves arent seeing big use as OpenAI and Anthropic’s side in terms of API use. There would need to be a lot of “success” on xAi to justify value.

North_Teacher_7522

im the intermediary for now! but this is intentional. i actually have alpaca API keys that i could use on Julius but they have their own proprietary financial data sources on there too so it's not needed while im only running this on a daily cadence. does alpaca also allow your automation build and run python models in a sandboxed env? just curious as i haven't explored their automations

etaoin314

Just curious if you are the intermediary or if it is all automatic? If you want to automate it alpaca is a much better brokerage since they give you a friendly API to tap into.

Nut_Negative

" If you’ve been curious about using AI with your trading workflow, Interactive Brokers just made it a lot easier. There’s no coding, no API setup, and no extra accounts required. Instead, Interactive Broker’s clients can now connect directly to Claude AI and ChatGPT through a certified connector—and be up and running in minutes. " AI going to self fund

Cultural-Tell5620

been wanting to mess around with automated trading for while too, might actually give this a shot if the API access isn't completely garbage

SangerGRBY

This sounds like a web-scraping automation + dashboarding / analytics project. Great for internal automation. If i were you i would design something like this: \[Webscraping layer\] (Platform agnostic, returns a standardized .csv) --> \[data processing layer\] (Parse, filter, clean, process .csv; keep only what you want) --> \[Dashboard + Analytics Layer\] (Build custom dashboard charts + LLM analysis of scraped content). For dashboards just go with the standard powerbi / Grafana / google sheets / excel / quicksight. I wouldn't spend too much time custom building a dashboarding tool. For your LLM analysis if you really want to keep your cost low without a quality hit, try using Deepseek API. Note: For a large enterprise there might be penalties / legal repercussions if you scrape on your own without using official APIs, please check with legal. I THINK as long as your volume isnt ridiculously high, you can most likely get away with a custom scraper / paid scraping service.

DatItalianBoy

For the social reporting side, we were using alot Of thirdparty reporting tools that use API pulls from set social media platforms. These were very expensive and very limited. Now I am building a dashboard where a social media manager, could drop an CVS export from lets say Meta. And creat an whole dashboard with calculations and graphs of our posted content per platform/client. It even has an Claude Haiku model running in the background that could generate a first draft of an anlysis for set Social media manager. This job took at least 1,5 days before, now 30 minutes. For the ball park tool we currently use Google sheets. Which is fine, but after building a tool for 2 days you could already see the many many upsides of this.

zjz

It is pretty enjoyable. I don't miss googling every error. I find if you know what you're asking for and how you want it done they can do well. My prompts tend to be short essays and include a lot of API docs. You can't really outsource all the thinking. They're great for refactoring too. I like claude the most, it seems to reliably be the least retarded. Any claude + IDE integration will do the job tbh.

abittooambitious

60% margin. If you’re talking API then the point is moot because you can easily find ones that aren’t training on your data for Chinese models. I’m not in cybersecurity so I can’t validate your statement about data sharing: though people in r/privacy seem to disagree: https://www.reddit.com/r/privacy/comments/pblidz/multiple\_services\_from\_same\_provider\_or\_one/. Either case because it’s so drilled into us that Chinese=bad, I just don’t send any sensitive information through Chinese servers and I bet this isn’t only my modus operandi. But out of 100 request only about a handful are sensitive in my experience, so I’m good with using Chinese model for simple development (majority), self serve or private API for any enterprise work. At this point western companies know much more about anyone who uses a Google account than their family members. My point is, if we’re being objective, the open source models (from any countries) are the way to go, and ones I’ll cheer for because the alternative is to be at the mercy of the handful of western companies who are all circular financing and act in concert and lobbying (but really controlling) the government.

FullOf_Bad_Ideas

> You’re telling me the free and lowest monthly paid tier they don’t train in our data by default? No. I'm talking about pay-per-request API providers, not monthly subscriptions. >The question is how often every 100 request would people want to pay that 60% mark up when given an alternative, when all things are equal, with data privacy assumed. I don't understand what you mean. Where's the 60% markup? DeepSeek chinese API is effectively ~100x cheaper than Claude Opus API for the same number of tokens due to cache read. US-provider DeepSeek model is about ~10x cheaper than Claude Opus for the same number of tokens. >The better strategy may be to spread out your data so no one company has it all. The amount of data Google, meta, (Palantir anyone?) ect. has on you makes these Chinese models look like saints. That's a bad idea - now your sensitive AWS/Github tokens are spread through every provider. It's like buying things online from 100 various websites - one of them will steal/leak your credit card info. It's better to stick to one reputable one.

ChloroVstheWorld

Do I have over my brokerage keys to the dubious vibe coded API

InitiativeGlum2507

Imagine handing over your brokerage credentials to a retarded WSB API

zjz

Yeah I don't blame him. Nobody likes change they didn't initiate. I probably wouldn't even have remade the app if I wasnt forced to by the old one being deprecated by reddit. I know it probably doesn't assuage the creepy bonzi buddy installer feeling but they did a six figure audit on the API company and reddit's engineers have been all over every line of this project. It's pretty solid. Runs on reddit's servers, HMAC's your userId so even the API doesnt know what your username is, etc.

FullOf_Bad_Ideas

Deepseek API, the cheap one, trains on your prompts and CCP will have access to all of that data permanently. I don't see how this would pass any legal checks in enterprises. Deepseek models are open weight, so US companies provide API too, but it's much more expensive, especially cache read which is the main deepseek api price advantage that makes agentic coding cheap. US companies have been increasing API pricing the last few months, so far I don't think there's been much resistance to it.

KiltyPimms

I'm not asking "do you know what the technology does" -- I'm more asking "do you know much your fancier coding asks are costing you in compute/API $$ charges?" That compute gets pretty spicy when you ask for complex things. You *do* know how much trouble Anthropic has been having keeping up with demand, yeah?

Mminas

You do realize that the chatbots and every other GenAI API of each brand are powdered by the same models right? In any case, you can read Standford's AI index report to understand that Anthropic does not have any actual technological edge over the competition.

Still_Theory179

The API pricing is at good margins and where most of the explosive revenue growth is coming from. 

KiltyPimms

Out of curiosity, how much coding have you done with SOTA AI and a solid harness? A lot? Not much? How much do you know about the API costs there?

zedfan

Not everyone will signup for API access. I am sure google and microsoft (bing) has scraped majority of the data already.

TomatoSpecialist6879

I remember a few ex employees said the banned subs are actually still archived for legal purposes, so if AI companies are scraping data through the API then they probably can access it. Microsoft's Tay got turned into an internet hate machine after just 4 hrs of user fed tweet prompt training, imagine what Claude and ChatGPT can do after just a few seconds of reading data from FatPeopleHate

theb0tman

Been tried. Platforms are hella sticky. Look how many people still use x and it's toxic AF with many alternatives. New digg failed. Facebooks new pages thing will fail. Reddit has been crying doom for over a decade. Oh, the closing of the reddit API. Remember how everyone was gonna quit? Bitch plz y'all got nowhere to go.

6e6967676572730a

That and the percentage of non verified accounts/sock puppet usage. That reason alone excluding bot accounts is probably the reason why 40m was the negotiated amount for the API access.

Astronaut-Proof

Why the fuck would they need the API when they can literally just browse Reddit for free and train models as they have been for the past 5 years? Fucking puts it is.

howtoloveadaisy

I’d argue that Anthropic is using enterprise sales as the shovel to dig their actual moat. I’ll say that Anthropic’s actual moat is deep workflow integration thru Claude/Cowork. Yes, most companies use multiple AI platforms but other AI companies aren’t being integrated as deeply. Claude is actually becoming a vital piece of many company's core infrastructure Anthropic knows what they’re doing by attracting enterprises to their platform at heavily discounted rates. These discounts will last until late 2027 when Anthropic will pull the classic SaaS lever. They’ll slowly increase the base seat cost, adding multipliers for specialized agentic capabilities, and tapering off the discounts for API. Companies will have no choice but to pay the price hike bc of how deeply integrated they are

howtoloveadaisy

I’d argue that Anthropic is using enterprise sales as the shovel to dig their actual moat. I’ll say that Anthropic’s actual moat is deep workflow integration thru Claude/Cowork. Yes, most companies use multiple AI platforms but other AI companies aren’t being integrated as deeply. Claude is actually becoming a vital piece of many company's core infrastructure Anthropic knows what they’re doing by attracting enterprises to their platform at heavily discounted rates. These discounts will last until late 2027 when Anthropic will pull the classic SaaS lever. They’ll slowly increase the base seat cost, adding multipliers for specialized agentic capabilities, and tapering off the discounts for API. Companies will have no choice but to pay the price hike bc of how deeply integrated they are

Connect-West-4918

The real play is when those API contracts come up for renewal and reddit realizes they can charge 10x more Companies already trained their base models but they're gonna need that fresh data pipeline forever, especially for real-time stuff. Reddit basically has monopoly on authentic human conversation data at scale

biglebowskidude

RDDT — Reddit Inc. Senior Analyst Breakdown Yes, posting a Reddit analysis on Reddit. You're welcome. $173.45 today, down 39% from 52-week highs. The real business: 80-85% advertising revenue (cyclical risk) 15-20% API/data licensing (the interesting part) Newly profitable in 2024 after years of losses Bull case: Reddit data is uniquely valuable for AI training — you can't replicate 20 years of human discussion API licensing to AI companies could be a massive recurring revenue stream 500-600M MAU with pseudonymous communities nobody else has Low capex, improving operating leverage Bear case: Ad-dependent business in a TikTok/Meta/YouTube world API licensing concentration risk — if Google or OpenAI walks, it hurts badly Content moderation at scale on a pseudonymous platform is nearly impossible Valuation still not cheap despite 39% drawdown Verdict: The AI data licensing angle is genuinely interesting and underappreciated. The advertising business is meh. You're essentially betting on Reddit becoming the premium data source for AI training. Full breakdown at norrisai.us

biglebowskidude

RDDT — Reddit Inc. Senior Analyst Breakdown Yes, posting a Reddit analysis on Reddit. You're welcome. $173.45 today, down 39% from 52-week highs. The real business: 80-85% advertising revenue (cyclical risk) 15-20% API/data licensing (the interesting part) Newly profitable in 2024 after years of losses Bull case: Reddit data is uniquely valuable for AI training — you can't replicate 20 years of human discussion API licensing to AI companies could be a massive recurring revenue stream 500-600M MAU with pseudonymous communities nobody else has Low capex, improving operating leverage Bear case: Ad-dependent business in a TikTok/Meta/YouTube world API licensing concentration risk — if Google or OpenAI walks, it hurts badly Content moderation at scale on a pseudonymous platform is nearly impossible Valuation still not cheap despite 39% drawdown Verdict: The AI data licensing angle is genuinely interesting and underappreciated. The advertising business is meh. You're essentially betting on Reddit becoming the premium data source for AI training. Full breakdown at norrisai.us

biglebowskidude

API issue will be good in a few minutes

biglebowskidude

"Hey everyone getting a lot of requests, love it! Running into a brief API limit issue, should be back up in a few minutes. Will reply to everyone shortly with their analysis!"

Mindless_Park_2574

And then gets shocked by the API bill

AlsoInteresting

There was no mentioning of opening API to LLM engines though.

nxs_sss

I built my own app with Claude as well. Can't share screens here, but DM if interested. I wouldn't mind adding a few people to it to help improve it. Right now it is manual entry because I only want to track options selling, not shares held or options buying. I do pull data from Finhub API, but looking at switching to something more robust in the near future. I'll also be looking at adding a Snaptrade connection in near future so it can read and import (import only) trades from your broker to the app.

Lehsyrus

I'm an swe and man, I completely agree with your assessment. The few companies I've worked with that are "all in" on AI are spending *millions* a month to replace a handful of miscellaneous workers that made under 100k. And they just can't do the dev work the suits want. Trying to have it build an app from scratch is a nightmare with the amount of repeated sections and security holes. Plaintext passwords and API keys are everywhere. It's just not a good worker replacement, it's a great tool like a calculator but that's it.

xRedStaRx

What do you mean API calls though codex CLI, it depends on your subscription. I have 2x $200 GPT pro subscriptions by the way and its not enough.

Singularity-42

I don't think it's that simple. There's always the floor of the Chinese OSS models. They're getting pretty good. The API inference on them is dirt cheap. Now, people and companies are willing to pay for better performance, up to a limit - they're not going to pay 100 times as much.

MaybeLiterally

You're definitely right, but the question is more along the lines of AI computers that could run local models better. I absolutely don't expect an GPT-5.5, or Claude level LLM on my machine, but what I do need is the ability to test agentic communication, tool calling, how well it even activates, MCP and A2A, and things like that. Just like I'm not expecting to process billions of rows of data for a database on my machine, I do want to validate those things also. When it looks good on my machine I can flip the API endpoint and test on better models in the cloud, but at least I've saved some money on the initial parts first.

ShittyUsernane1222

Anthropic, OpenAI and xAI have no moat. there are 30x cheaper open weight AI models which are good enough for business uses and easier to scale than token-guzzling, API rate limiting and ultra-expensive closed source AI models.

Blarghnog

1. That is just straight-up wrong. Vanguard, Instacart, Walmart, Samsung, McKinsey, IBM, and Microsoft all heavily deploy open-source AI. Major enterprises use open-source precisely because they can’t risk throwing proprietary data or regulated client info into a third-party, commercial black box. They run it inside their own secure, isolated cloud perimeters where they actually control the data. 2. No shit it takes compute. Nobody said it runs on magic. But you’re completely missing how enterprise unit economics work. With open source, you can utilize quantization and right-sizing to shrink a model's footprint so it runs on a fraction of the hardware. A fine-tuned 8B model handling a specific task like billing routing is exponentially cheaper than bleeding money on variable per-token fees to a proprietary API. Plus, dedicated leased hardware turns variable costs into a flat, predictable operational expense at scale. There is a massive difference between having an actual conversation and whatever this clueless, aggressive nonsense is.   Your entire communication style is just talking out of your ass to cover for a total lack of actual insight.

_ii_

Not with this generation of N1X chips while M5 MacBooks exist and M5 Mac Minis are on the horizon. Mac users will stay with Mac. N1X is not attractive enough for them to switch. The new Nvidia laptops are targeting the ultra high-end which is dominated by Macs and gaming laptops. The gaming angle is possible but it depends on game availability and performance. Demands for AI PCs depends on how useful local small models are. Currently they’re not useful enough for average users. It’s fun to pay with, but real work requires API calls to larger models. In a year or two, between faster computers and model improvements, I would expect AI PCs to become useful enough that new computers buyers would want AI capabilities in their new machines. When that happens, it will be Nvidia vs Apple.

bandit_spirit

Schwab’s API will give you options chains

andh01

Quant Data just released their API! It has been fantastic, would strongly recommend. MCP works flawlessly and it has some great endpoints & no daily quota

redditissocoolyoyo

I built my own little application using LLM and scraping tools and finnhub API. I have no idea if it's giving me better plays or not. But it's aggregating all the information I need into one place which is helpful. I call it the tax harvest app

YourPapiPanda

Quant Data. They provide Greek exposure and net premium flows. They also just released an API feature, which I have connected to Claude.