API

ReasonableBrother448

Yes, Googles play like forever has been to aquire, stagnate and stabilize. Google will go bankrupt (not really, but way way down in stock market) if people stop using their Search. Google is actually shockingly begind on their ideas for revenues. They have placed bets on humans roaming the net, but within about few years most of the traffic will be just agents. So is there any benefit of knowing eg. what the agent search history is? Or do agents click banners? Perhaps agents can be advertised to somehow, but i am just underlining how quickly tech can turn on its winners. Google can extract some value of agent traffic with providing them computing and API access, but this is far less lucrative.

No_Credit_8126

Sure, they can mark up API costs but 20% margins on resold compute is not a software business. That’s a reseller model. The market prices SaaS at 8-15x revenue because of 70-80% gross margins. If their AI revenue scales at 20% margins it actually drags the multiple down, not up. Show me where Figma has disclosed their AI gross margins because I’d bet they’re not publishing that number for a reason.

wisconsinbrowntoen

> Figma is a customer of AI infrastructure, not a competitor to it. Calling them a major “seller of tokens” misunderstands their architecture entirely. Their AI features are largely powered by third-party models, meaning margins on that revenue will be compressed by API costs.  But they could buy tokens for x and charge the customer 1.2x Also is your comment just completely written by AI?

PhiNeurOZOMu68

These valuations are essentially for API usage lol. The costs of up and down API calls are the main valuation.

No_Credit_8126

Genuine concerns about $FIG before you YOLO your savings into this: Appreciate the enthusiasm, but there are some real issues with this thesis that deserve scrutiny. The “Figma Make rivals Claude” claim is simply wrong. Figma Make is a UI-to-code tool built on top of LLMs like Claude. Figma is a customer of AI infrastructure, not a competitor to it. Calling them a major “seller of tokens” misunderstands their architecture entirely. Their AI features are largely powered by third-party models, meaning margins on that revenue will be compressed by API costs. 80% S&P 500 penetration is a ceiling, not a runway. High retention in a nearly saturated enterprise market means growth has to come from price increases or new products both of which face resistance. Their 40% YoY growth is impressive, but sustaining that from this base is a very different challenge. The CEO comp structure is a double-edged sword. Yes, it’s ambitious. It also means massive dilution pressure as targets are hit. That’s not free upside for shareholders. 20% short interest deserves more respect than “squeeze fuel.” Sophisticated institutional shorts are often right on overvalued SaaS. They’re not retail traders — they’ve done the work. Valuation isn’t as cheap as it looks. 8x P/S on a design tool with slowing TAM expansion and rising AI substitution risk (yes, vibe coding is eating into junior design demand) is not the bargain it’s framed as. The IPO halo fades. Lock-up expirations, insider selling, and multiple compression are all coming. Do your own research. This isn’t financial advice but neither is a Reddit post with rocket emojis.

TechnEconomics

Visa attempted to buy the biggest open banking tech provider in Plaid for 5.3bn. They then bought tink for $1.8bn. Mastercard have their own open banking API. Both are hedging against this… however, plaid just pulled back of the US. The bigger issue is consumer adoption is and will continue to be low. There are a bunch of regulations that protect consumers during card purchases that don’t exist in open banking. You won’t see super widespread adoption till these are fixed. You also have the fact that although fees are much lower today they won’t be forever. I would love nothing more than reliance on Visa and MC to fall through the floor. However for Card Present transactions this isn’t going to happen. For card not present you’ll see more of a shift though. Although I’d argue the US will remain a pretty strong walled moat.

SamLeCoyote_Fix_1

The benchmarks are quite impressive, and above all, it's open source and much cheaper than the competition. The price difference is enormous, for a medium-sized company, using a well-marketed model that knows how to code makes a big difference. I think I'll try it soon with a router API, directly in Xcode 26.4 on my Mac, to see if it works. It's a very recent release, so it's true that we might have to wait a bit.

sleepystockmarket

The history of payment network disruption is actually more nuanced than most people expect — and it cuts both ways for the Visa/Mastercard bear case. The standard disruption playbook suggests incumbents get swept away. But payment networks are one of the few sectors where incumbents have historically absorbed and neutralised challengers. Consider: \*\*Western Union\*\* dominated 19th century financial transfers and genuinely looked unassailable. They famously turned down Alexander Graham Bell's offer to sell the telephone patent for $100,000. That's the bear case in action — a network incumbent that failed to adapt. But contrast that with \*\*BankAmericard (1958)\*\*. When Bank of America launched what became Visa, it was a genuinely disruptive product attacking cash and cheques. The incumbent banks responded not by being disrupted — but by joining and collectively creating the Visa network themselves. The challenger became the new incumbent in about 20 years. The Open Banking question is which historical pattern applies. If Visa/Mastercard can embed themselves into the new rails (as they're actively trying to do with acquisitions and API partnerships), they pull a BankAmericard and survive. If they can't, they risk the Western Union outcome. What's different this time is regulatory intent. The EU's PSD2 and Australia's CDR were specifically designed to break network effects. That's new. Historic payment disruptions happened despite incumbents — this one is being engineered against them. That's why I think the long-term structural risk is more real than markets are currently pricing.

Ok-Garlic-3202

You can vibe code something in Python or Google sheets that will give you an understanding of both tax implications, and more importantly how and when you are winning and losing. just give the AI an XLS or CSV file of example trades and ask it to make a program/script to create a PnL. You can also sign up for a data API service to pull on things like Greeks etc if you want to understand more, etc.

Mikeynphoto2009

The EIA-API gap is mostly survey methodology -- EIA is mandatory with broader facility coverage, API is voluntary with a smaller sample. They usually converge within a million barrels but weeks with big inventory swings widen it. The bigger distortion right now is SPR releases. DOE authorized 172M barrels starting in March and those barrels flow into Gulf Coast commercial storage -- they show up as a commercial build in the EIA headline, masking the underlying draw. A few people in this thread already flagged that. Then there's the physical market: Bloomberg reported at least two Iranian VLCCs -- Hero II and Hedy -- went AIS-dark and tried to move crude past the blockade line around April 20, part of a flotilla they described as carrying roughly 9M barrels. Whether the blockade catches them all or not, the headline inventory numbers are a poor proxy for what's actually happening to available supply. That's the disconnect you've been pointing at.

GenitalWartHogg

What’s the url for your API endpoint?

Specific-Ad9935

Cursor acts as a middleman between your editor and models like GPT-4 or Claude 3.5 Sonnet. * **Enterprise Agreements:** Cursor typically uses the API versions of these models. Under standard API agreements (unlike the consumer version of ChatGPT), the data sent via API is **not** used to train the underlying models.

ApprehensiveSand6787

I’m a quant and I wanted Deribit historical data but couldn’t justify the price of Tardis an all the other options out there meant compromising on some aspect of the data I was looking for. SO we built our own version of the API we’ve been searching for. It will be live for Beta testing later this week and I would like to give some community members free access in exchange for feedback and social proof (if it does what it says on the box). HMU 😊

BuildwithPublic

Similar stack — brainstorming and pressure-testing are 80% of the value. Where it leveled up for me was turning Claude into an actual trading bot instead of just a research assistant. Connected Claude to my brokerage's API via MCP, now Claude stock analysis runs against my real positions, buying power, live option chains, preflight math on actual fills. The Claude AI trading bot setup means it's reasoning against my real book instead of a hypothetical one. Not every broker supports this, had to switch to one that does — but, Claude trading with live account context is a different tool than Claude trading in the abstract. It'll catch stuff like "you're already 40% in this sector" or "this spread's mid is wider than you think" before I would. Still not a decision-maker. And where I've stopped using Claude AI trading entirely: directional macro calls. Too confident, too wrong, too often.

MarsTellus13

It'd be great if someone more knowledgeable could explain how EIA showed inventories up 1.9m barrels one day after API showed inventories down 4.4 million. I know there's always a bit of a gap but this one seems quite large.

ItsyBitsySPYderman

AI is fucking retarded. So naturally the Mods made an API bot and turned it lose in the sub.

zjz

He runs locally so no API usage, but I did see him at 1300 watts of draw.

sonofalando

Caller: “Dave I’ve been burning $3,000 a month in Claude API tokens to generate 47,000 unique AI images of warty ornamental gourds, minting each one as a 1/1 NFT on the blockchain, and I’ve sold exactly zero of them but the gas fees alone have taken out my second mortgage, my wife’s Roth IRA, and my son’s retainer fund — am I on the right track? 🎃🚀” Dave Ramsey: “You are PAYING. AN ARTIFICIAL INTELLIGENCE. TO DRAW. GOURDS. and then selling them to NO ONE on a FAKE INTERNET and the only thing you’ve successfully distributed is FINANCIAL RUIN across three generations of your family — WHO HURT YOU.” Caller: “Okay but Dave the floor price is about to go parabolic because I just hired a guy from a Telegram group called CryptoGhostKing999 to shill the collection and he only wants 4 Ethereum up front which I borrowed from my mother-in-law’s reverse mortgage, the whitepaper is just a photo of a gourd Dave, I wrote ‘store of value’ on it in marker — DIAMOND HANDS.” Dave Ramsey: “Sir you have weaponized stupidity into a subscription service, you are paying monthly for an AI to commit art crimes against a vegetable, your family is eating ramen while a GPU in a datacenter somewhere renders BUMPY SQUASH for NO ONE, call me back when you’ve filed for bankruptcy and accepted JESUS and PLEASE cancel the API subscription BEFORE the gourds.“​​​​​​​​​​​​​​​​

DefiantDelta

“U.S. Treasury projected to buy back $15 Billion of their own debt this week, equaling the largest Treasury buyback in history” “US API Crude Oil Stock Change Actual -4.47M (Forecast -1M, Previous 6.1M)” there’s alarm bells blaring all around us but bulls are legally deaf

Jennitwat

D. None of the above. It’s Reddit’s own recent actions. It’s Reddit’s lack of action for holding these mods accountable. So many think they are celebrities or gods and when users argue back these mods report the users to admins and admins ban them. It took 20 years to finally address power mods and even then, the solution isn’t that great. Hell, there are literal groups of mods controlling r/all. Everyone knows there are a handful running all the biggest subs. But when it’s ‘complain -> get banned from multiple subs -> complain -> get reported for harassment and banned or suspended’, shits fucked. It’s Reddit’s decision to gut their community developers. The exorbitant price raise for API access might be forgotten by most people on this site, but Reddit was only growing because they had a loyal user base that liked to contribute to things they enjoy. Reddit’s policies ensure only echo chambers can exist, power hungry mods can stay in moderation positions, and creatives are pushed away. Reddit has been stirring this batter of crap for a while, it’s just that we are now seeing the results of this.

NewImportance8313

The market can be up but ultimately either A. Trump relents or he waits it out and we get enormous oil inventory draws that force prices high enough to trigger significant demand destruction. Either one is not bullish at all. Iran isn't a democracy and imo isn't going to surrender over the blockade when they see how rapidly USA oil inventories drain. Can see it in the API report. 

theineffablebob

Cursor's secret sauce is in its agent harness. That's what made it special when it released. Other tools have caught up, and Claude Code and Codex have the unique position that they don't have to pay API pricing since they created and run their own models, but Cursor does have Composer now (based on Kimi) which does perform decently well

zjz

Well.. that's probably a bit much re: the sun. The API changes, in the end, didn't bother me that much. I'm sure it actually helped in ameliorating the bot problem, even if only temporarily. It's also pretty hard to defend those third party apps capturing all the ad revenue. I'm surprised reddit did that for as long as they did. I do miss having choices though. I'm also an /r/all hater but I'm not a fan of their version of "best" either. They should give us a way to customize it and see/alter our internal "interests" profile. That'd be great.

zjz

They actually did change the biggest "ban bot" called *hive protector* from being able to ban you simply for participating in another sub, I think, though it'd still be a pain in the ass for them to remove that behavior from all old API bots.

FistEnergy

US API Crude Oil Stock Change Actual -4.47M (Forecast -1M, Previous 6.1M) pretty big drawdown in US oil reserves. Much more than anticipated.

qu4f

I’m aligned with you that slop bots are the plague of Reddit but I’d expand the scope beyond politics to include advertising. I come to Reddit to hear from actual people but half of the discussion based subreddits are flooded with obvious ChatGPT posts that mention a prediction market. Or a payday advance service. Or a soap, or SaaS, or new app, or some other crud that isn’t value adding to anybody - but the bots will engage with other bots and circlejerk an ad to the front page. I’ve been on Reddit a few years longer than this account’s age and picked up a tip (from classics LifeProTips no less) to add the keyword Reddit or site:reddit.com/r/subreddit when I needed actual information and not just marketing materials. Now I can’t rely on Reddit to provide real information. I have a streak of more than 600 days in this app (longer if we included narwhal before the API change) and I question what I’m doing here every day. The best discussions have always been diamonds in the rough but wow is the rough rough nowadays.

DirtySperrys

Was gonna say, the censored content began a while back. Remember when all was spammed with pictures of Ellen needing to be punched? The blackout of subs for API control was interesting but unfortunately wasn’t strong enough for basic users to even notice.

StThragon

Come on. We had a mass migration of people when spez starting charging to use the API. Multiple subreddits with qualified people running them just disappeared after the boycott. Especially some of the Q and A ones. Reddit has really been getting much worse since then.

zjz

It's built on reddit's "devvit" app platform, where mods can choose to install apps that developers make https://developers.reddit.com/apps/ai-moderator Anyone can deploy it, you just need an API key. I've been on an autistic quest to recreate a better visualmod LLM and part of its stack is a custom non-reddit-hosted version of that app above. I wasn't talking about AI polling, I meant political anger farming posts, POLslop. If someone like /r/politics installed that ai-moderator app they could do some nasty shit, which is why I'm not sure mod-configured ai moderation is the silver bullet.

mickeyfix

Spy returns on shares since 01/06/2020 is 84.11%. With leverage you are seeing a 50% more, but with a hell of a lot more risk, not to mention all the extra management overhead from coding, API access costs, transactions, etc. I get that it's just a fun exercise but I want to point out that the reality of this strategy is that it's not some kind of free money hack. If we go into a real bear market (for example, one that lasts more than 8 months), the draw downs would probably be catastrophic for your port. I know, I know, I should pack it up and head over to r/investing

bones222222

weird its almost like they messed up the API tools to take tighter controls of expanded advertising, and then allowed an explosion of bots which reduce the appeal even further

FullOf_Bad_Ideas

were we forced to official app? After they made 3rd party clients too expensive to use through API billing, I stopped using Reddit for a while. Then I came back and now I'm using it daily on mobile and desktop, on the old.reddit.com UI. As long as old UI is there and adblockers work, I will continue using reddit.

mmoney20

what's the API costs with Claude?

skillguru

If you are not a trading bot who does millions of trades every week/month, do you really need that accurate data? Can you calculate GEX from ploygin API? Not real time but still good enough for most of us

NPPraxis

I think I credit Tim Cook for both Apple’s both decline and success in hardware and decline in software. Steve Job’s death led to Jony Ive getting too much power and making Mac’s form over function until the last generation of Intel Macs were almost unusable. We saw a steady decline as Macs got too thin and were thermally constrained and handicapped their Intel chips. (See: Trash Can Mac Pro, 2016 MacBoon Pro, etc). But, Tim Cook’s mastery of the supply chain and desire to own the stack is what led to Apple Silicon. I do feel like Tim Cook let Apple lose its way in software. Apple no longer has consistent HIG that it follows, even John Gruber is loudly calling this out now. Also, Steve Jobs was really good about open standards and closed implementations. See his open letter about Flash and his strong support of HTML5; his promise that FaceTime would be opened up to be an open standard; open sourcing of OpenCL, WebKit, etc. Apple has gotten a lot more closed under Tim Cook. My gut is that a Jobs-led Apple would have supported the Vulkan API to try to break the DirectX market hold. If you value software more than hardware, I think there’s a lot to complain about Cook. And if you value hardware I think you can chalk up both the dark times (late Intel) to him (failing to constrain Ive) and the good times (Apple Silicon). It does, however, feel like Apple’s just managed to refine what they had under Jobs and accessories it, rather than anything revolutionary. I can’t remember the last time a MacOS release had a major new feature that got me excited, and the quality has gone downhill (Spotlight barely works for me these days), and most of the new products (Watch, AirPods) have felt more like accessories, except the Apple Vision.

floo82

This sub is weirdly the third highest sub on reddit for automatic keyword shadow banned comments. Only politics and pics autoban more comments per day than WSB. Fuck if I know *why* it should be that way, but what's what the paid data from reddits API says

ai-moderator

#TLDR --- Ticker: ZS Direction: Up 🚀 Prognosis: Long ZS at ~$135 (Downside priced in, massive upside ignored) Catalyst: Millions of AI agents spamming API calls that desperately need zero-trust security. Wall Street's IQ: Room temperature (treating the absolute bouncer of the AI club as an "AI victim").

krillindead69

I use Unu͏sual Wha͏les. Their UI is pretty good and flexible. Im working on getting my flow automated through their API. Pretty easy so far.

CanaryUmbrella

Get Alpaca API and write a Python script that calls the API every so often. You can probably work through it with Claude if you have no coding experience.

tromp8

That’s what I thought, so my doubts about doing it myself through IBKR API as they have MBP not MBO (as long as I know). I have MBO from CME in Bookmap but it doesn’t include options I think.

TacticalDataDesk

I pull it all via an API. All free. No need to pay for any of this. GEX is mathematics. Nothing special about it. All my tools I built for free.

tromp8

Where do you get option chain data from? I’m paying spotgamma and menthorq but I have a feeling I could do everything myself just with Interactive Brokers API and Claude to code everything beautifully in my charting platform, am I missing something?

Emotional-Breath-838

The real game changer is Claude AI connected to the TradingView API. You get real time data combined with Claude level intelligence and zero emotion. Go to ChatGPT and prompt: give me the step by step guide to connect Anthropic’s Claude to the TradingView API. Throw in all the tips and tricks that will ensure I have alerts and appropriate screens for the segments I follow.

uncorrelatedgambling

I think there are some API problems somewhere

Actes

As an unfortunate slave to the AI ecosystem, I beg to differ entirely. Geminis newest model is cheap as fuck, works better than the rest and their API lets you like stream to image recognition models and shit. They're like a sleeper in the ecosystem and I definitely feel like they're gonna pop off even more soon here. I fuck with it cause Google especially likes to deliver

AdorableNecessary570

I went through this with my own stuff: every time I thought “we’ll just wrap an API,” it got nuked by the next model release. The only things that stuck were the parts tied into someone’s ugly, real-world workflow where failure is painful and migration is a nightmare. What worked for us was treating models as cheap, swappable plumbing and putting the effort into: where does this sit in the org chart, who gets yelled at when it breaks, what data does this quietly normalize that nobody else wants to touch. That’s why the big SaaS “systems of record” aren’t just going to vanish; they own the boring, irreversible decisions. I tried building around stuff like HubSpot and Intercom first, and ended up on Pulse for Reddit after trying a couple of homegrown scrapers because it actually surfaced the weird edge-case threads from our niche that models alone never exposed. Those edges are where the durable SaaS opportunities still live.

memesiku

Thank you for the feedback! Red flag detection is a great idea. The data is all there, I would just need to build it. I’ll put it in my roadmap! AlphaVantage is my main API source. Commercial APIs with them are around $7200 per year starting - although it can grow with user usage I believe. There are so many pump and dump plays out there right now. The only thing protecting the individual investor is data, and readability of that data.

Gooeyy

I don’t see any reason why I’d dispute that. “Consider the core developers write text code” what do you mean by “text code” lmao. The shoddy releases and their API’s uptime speak for themselves. If you like Claude Code, consider using Codex. I’ve found it to outperform the former in every way.

Retro_Item

Try Hydra, it’s basically the Apollo interface. It doesn’t use the official API and scrapes the old.reddit.com site instead, so you don’t need an API key or subscription. Unfortunately it is a little buggy and missing some features.

garden_speech

> These AI models are still heavily subsidized, once they start charging the "real" prices then we'll see how strong the demand is, profitability, alternatives, etc. What are you basing this on? Both Anthropic and OpenAI serve models at a profitable price on their API, the reason they’re losing money is R&D for newer models.

vcpowerlaw

For fintech, track a few strong signals like product and pricing changes, release notes and API updates, new partnerships, regulatory and licensing updates, and hiring patterns. To avoid noise, group items into weekly themes, only flag unusual changes, and only treat it as real if it is confirmed by another source or clearly fits a key strategic area.

SlfImpr

$CRM >**Salesforce launches "Headless 360" to turn its entire platform into infrastructure for AI agents** Salesforce unveils the most ambitious architectural transformation in its 27-year history, introducing "[Headless 360](https://www.salesforce.com/news/stories/salesforce-headless-360-announcement/)" — a sweeping initiative that exposes every capability in its platform as an API, MCP tool, or CLI command so AI agents can operate the entire system without ever opening a browser. [https://venturebeat.com/ai/salesforce-launches-headless-360-to-turn-its-entire-platform-into-infrastructure-for-ai-agents](https://venturebeat.com/ai/salesforce-launches-headless-360-to-turn-its-entire-platform-into-infrastructure-for-ai-agents) So basically, the AI agents can talk to the entire Salesforce platform and data directly without the old school human in a browser **Sentiment-driven market is too dumb right now to realize the significance of this!!**

SlfImpr

$CRM >**Salesforce launches "Headless 360" to turn its entire platform into infrastructure for AI agents** Salesforce unveils the most ambitious architectural transformation in its 27-year history, introducing "[Headless 360](https://www.salesforce.com/news/stories/salesforce-headless-360-announcement/)" — a sweeping initiative that exposes every capability in its platform as an API, MCP tool, or CLI command so AI agents can operate the entire system without ever opening a browser. [https://venturebeat.com/ai/salesforce-launches-headless-360-to-turn-its-entire-platform-into-infrastructure-for-ai-agents](https://venturebeat.com/ai/salesforce-launches-headless-360-to-turn-its-entire-platform-into-infrastructure-for-ai-agents) So basically, the AI agents can talk to the entire Salesforce platform and data directly without the old school human in a browser

moonrust-app

I don't think much about it tbh. Accidentally I sent some of mine to chatgpt too. What do you mean with the "AI part"? AI chatbox/normalizer part in my app or AI part in general in my coding process? In my app, if the user shares his/her own private info in my chatbox with the API provider, I can't do anything about it. I probably answered the other part of the question already. I don't get stressed about it. Local setups are quite expensive at the moment but we will have to go there eventually. Hopefully mac studio m5 Ultra will be something decent.

NoFutureIn21Century

They'll just transform from per seat to per API request licensing. And those will skyrocket with AI agents. In fact lots of SaaS is already switching to it.

redditissocoolyoyo

Which API you use?

SlfImpr

$CRM >**Salesforce launches "Headless 360" to turn its entire platform into infrastructure for AI agents** Salesforce unveils the most ambitious architectural transformation in its 27-year history, introducing "[Headless 360](https://www.salesforce.com/news/stories/salesforce-headless-360-announcement/)" — a sweeping initiative that exposes every capability in its platform as an API, MCP tool, or CLI command so AI agents can operate the entire system without ever opening a browser. [https://venturebeat.com/ai/salesforce-launches-headless-360-to-turn-its-entire-platform-into-infrastructure-for-ai-agents](https://venturebeat.com/ai/salesforce-launches-headless-360-to-turn-its-entire-platform-into-infrastructure-for-ai-agents)

betarhoalphadelta

FWIW, I don't see them going into memory. NVDA is a fabless semiconductor company. Their secret sauce is the *design* of the GPU (and the entire software/API stack around it), but the actual production is outsourced to a foundry (TSMC). All of the major memory players own their own fabs. They do what they do and they do it REALLY well. TSMC doesn't really make DRAM. It's not where they excel. There's not a ton of overlap.

Tr0janSword

You are wrong. Agents can call tools (programs), run that program, analyze those outputs, trigger other programs. Asking an agent to generate SQL query to update a database is extremely basic functionality, which has been available for a longtime. We're on the stock subreddit right now for TSMC's earnings. You could ask Claude to search and retrieve all of TSMC's earnings results, analyze the transcripts for the gross margin guidance and annual guidance revisions, calculate the earnings reactions using the yahoo finance API, and then forecast today's earnings reaction based on the their commentary. That would take a 3-4 minutes. Anthropic will be generating more revenue than Salesforce by June. People are not paying them to experiment. They are using Claude for real use cases.

Tr0janSword

Oh, the demand clearly exists. You must be stuck in Nov 2025. Just look at Anthropic's growth. It is the fastest growing company in history and all that demand is from businesses consumption via an API, not people subscribing to a chatbot. July 2025: $5 bn in ARR Dec 2025: $9 bn in ARR Jan 2026: $13 bn in ARR Feb 2026: $19 bn in ARR Mar 2026: $30 bn in ARR If you actually look at the economics of this industry, it all checks out, especially with agentic AI taking off. The only limitation on Anthropic's growth is their compute capacity. They're on pace to do $100 bn in ARR by December, which is unfathomable. The difference between AI and every single other major capex bubble is that AI gets monetized the moment the GPUs are installed. This isn't railroads waiting for the entire track to be laid, or dark fiber waiting for the iPhone to come along. People need to start viewing this like electricity. AI is going to diffuse across every facet of the economy.

AuxxAiCRM

Under the hood every CRM is using one of the big AI model providers (OpenAI, Anthropic, google gemini) and give it a fancy name such as Fred AI all while up charging 10x of the API cost. That’s why I think it’s better to use a CRM that lets you bring your own api keys such as Auxx.ai. 

Educational_Delay612

No API yet, but it is on the roadmap.

AlgonikHQ

Claude won’t give you reliable real time screening results for that query because it doesn’t have live market data access. It can help you build the logic to screen for it yourself though. The better prompt approach is asking it to write the code that performs the screen rather than asking it to return the results. Something like “write me a Python script using yfinance that screens for stocks where 20 day historical volatility is in the bottom 10th percentile of the past year, current price is within 2% of YTD volume profile point of control, and flags any where net GEX has flipped positive in the last 48 hours.” GEX data is the tricky part, you’d need a data source like Unusual Whales or SpotGamma API for that specifically as it’s not in standard free data providers. Claude is excellent at writing the screening infrastructure, just not at being the data source itself.

BuildwithPublic

Honest take here: you can't get Claude to answer that from a cold prompt. it doesn't have a Bloomberg terminal in its weights. no LLM does. but the actual problem you're describing is solvable — you just need to give it the data I run 0DTE credit spreads through Claude right now. it pulls live option chains, computes greeks on specific strikes, preflights multileg orders, and places them on a real brokerage account. delta-based exits, time rules, the whole loop The way it works: [Public.com](http://Public.com) has an MCP server you connect to Claude. once connected, Claude can call tools — get\_quotes, get\_option\_chain, get\_option\_greeks, place\_multileg\_order, etc. so when you say "find me SPY puts where delta is between 0.15 and 0.30 with IV above the chain median" it actually pulls the chain, filters, and shows you real results For what you're asking specifically: \- 20-day HV percentiles — you'd need a data source piping historical vol in. the brokerage tools give you real-time IV per strike but not historical realized vol rankings \- VPOC — same thing, you'd need a volume profile feed. not in the brokerage data \- GEX flip — that's dealer positioning data, typically from services like Squeezemetrics or SpotGamma. not native to any brokerage API So the real answer is: Claude + brokerage MCP gives you the execution and real-time options data layer. for the specialized screening inputs (HV rankings, VPOC, GEX), you'd pipe those in from a separate data source or compute them from historical price data that Claude can pull and crunch Setup takes about 10 minutes if you want to try it: [public.com/api/docs/templates/claude-desktop-mcp](http://public.com/api/docs/templates/claude-desktop-mcp) once you're connected you can literally type "pull the SPY chain for Friday, show me all puts with delta between 0.10 and 0.25, sort by premium" and it just does it. real data, real account happy to walk through the setup if you get stuck

MyNameCannotBeSpoken

Is there an API?

nemozny

yeah, they suck and I can subscribe to most points OP laid out yet you can trade literally all markets, fees are OK, GUI can be used to API is a pain in the ass, but again with a proper library it works. Most of the time.

stayinPOV

Mostly everyone who's buying physical gold if buying from Costco and select Walmart sellers. I saw a redditor here complain about Costco prices. a) When the difference between sell price and spot price is large enough, Costco usually will price down on restocks and b) there are also short windows where Costco does not price fast enough after spot price has jumped up, so their pricing can work for and against you. The big question is if you're buying as an investment or to play the arbitrage game. As an investment, there really aren't many good reasons to buy physical. For arbitrage, it's all about volume and marign, and the next step would be to figure out which wholesalers or buying groups you want to sell your gold to. You'd never do this without the 2% Costco membership and careful selection around the credit cards you use. People have also opened numerous Cotsco memberships though they've been cracking down on it and shutting down accounts. Non-zero chance you lose all your accumulated 2% balance if you lose that Costco account. Regardless, there are now numerous tools out there that track Costco inventory both online and in-store. E.g. the founder of [seats.aero](http://seats.aero) made a public-facing API that tracks Costco supply, and there are tools out there like GoldLogger that monitor buy prices of various wholesalers and groups: Upstate, Bullion Gold Store, Aligned Incentives, US Gold Bureau, CollectPure, and more. Those places also all sell gold, but their prices are tied to spot, and most savvy players are buying from Costco to sell to them rather than buying from them. If you're getting serious about it, you need to leverage tools and data as much as possible.

Razzoz9966

Literally just learned about PDT today when my AI trading bot hit some weird API limits of alpaca exchange. Nice, now my speedrun to lose money can continue soon

2fingers

I use both Schwab and yfinance for my app, these are the thing I get from yahoo that I can't reliably get from Schwab's API: * Upcoming earnings dates * Company news * Sector/Industry categories * Company descriptions I'm not sure what OP is talking about, my yfinance API calls still all work fine.

nigelboid

I am curious: Why are you bending over backwards and jumping through such hoops with Yahoo! when you can open a pretty much no-cost account with Schwab and use their API for real-time data?

FullOf_Bad_Ideas

It's not just APIs and those APIs don't have to be "mature". It's about navigating folders, reading files, gaining info from them and working with various services. Linda how you see a person experienced with Office 365 to be a more valuable employee than a person that doesn't know how to use Word or Excel or Outlook, or doesn't know how to navigate desktop computer at all. APIs called by Claude for programming are rarely mature, it's usually an API of a small startup. It can generalize to call most tools that you give it though. How they render those tools useless you ask? In principle Claude can copy other proprietary code, or can help a small team deliver software in weeks that would have taken a bigger team months to deliver. It doesn't make software useless, but it makes it cheaper to develop. In principle. I haven't seen any new vibe coded Hubspot or Workday pop up.

Furbylover

80%+ of their revenue is coming from enterprise API/token consumers. Everyday consumers/subscribers don't matter to Anthropic and sooner or later they will make the experience even worse to save cost and focus on the whales who bring them the most $. Usage limits are just the beginning.

Renminbi

I have a very different view from folks on this thread. Every single business, tool and workflow in coming years will have AI baked in. And there are going to be only 2-3 foundational model providers whose LLMs are powering all of it. Add on top of this API revenue all of the application layer products we are seeing become popular like ChatGPT, Claude Code, Codex etc. and what you have are monster businesses. The financials will look bad for the first few years because of the heavy investments into compute and subsidized pricing to acquire customers. Similar to what Amazon and Uber have done previously to build supply and acquire demand. Over time, these model companies are monster businesses that will absolutely be worth multiple trillions of dollars each. Not to mention all of the new businesses they'll get into, the same way Amazon expanded from retail, Uber from rideshare, Facebook from social networks or Google from search.

FullOf_Bad_Ideas

I think so. But that is a dystopian world. I am convinced that this is their plan, they are already executing it now, though clawing back access is a slow process. Reasoning tokens are all hidden now, usage limits are getting smaller, their official benchmark target is GDPEval ELO, new models are released only to big players with no widespread API access, they are looking at ways in which they can hamper Chinese LLM development and I think it'll get much worse soon. Look at how LLM intelligence has grew since 2022, extrapolate it to how it'll look like in 2030. Top LLMs score 130 on offline IQ tests, LLM I have running on a local server scores 120. IQ of 130 means top 2.2 percentile of human population. 120 means top 10 percentile. It'll be going up until they hit the limit of the best data annotators they have. Global value of labour is trillions of dollars annually. Model providers are already starting to close up access so that only big employers can access it while employees on their own or small businesses won't be able to. Google, Anthopic and OpenAI are in a cartel (Frontier Model Forum) and they'll work together to ensure they get healthy margins. If they can capture that value by selling access to AGI, their valuation can be a multiple of the market that they can carve out. I think US labour income alone is $11T. If AGI can chip away 20% of that and offer that labour at half the price they are stilling looking at 90% margin and 2T of profit per year, so with standard multiples of 20-30 that's a valuation of 40-60T in market cap for the overall sector. Realistically, this won't impact US only, and it won't be 20% but probably 60% in a decade. And in the process, global GDP will be shrinking as AI services will be cheaper than human labour, and real underemployment will be raising globally. Removing human labour from economy without generating new work for them is a new paradigm and it will end in poverty for a lot of humans. Crucial anchors of this thesis - cartel is formed and won't be disrupted by the government - cartel will want to get a good ROI - cartel will prevent competitors from catching up to ensure healthy profit margins - government and AI model companies will find a way to sell underemployment as a good thing, to cook the frog. If cartel will prevail, and US model companies will continue chasing profits, they'll get them. If LLMs won't work, they'll find other architecture that can us get there. There's plenty of compute now to create AGI one way or another. I'd definitely consider investing a sizable portion of the portfolio as a hedge.

SeriousPlankton2000

There was someone who actually managed to buy coals due to an API mismatch. They did call and asked if he was sure - he was arrogant and didn't really want to listen. Then the coals were delivered.

hotwheelscrazywu

Companies usually use API instead of UI for SAAS. API is cost by tokens. Some of the skill related like photoshop definitely on the way to replace/add in. The risk of servicenow, etc are not being replaced completely but combined in a comprehensive tool/ platform that will do all the end to end job in workflow. The first stage is that SAAS who do not integrate AI will be falling back. The ones who do however will likely to reduce their price first and then few names will disappear because of no business but not replaced. So for stock, the real question is who will last longer and stronger in the end.

hotwheelscrazywu

Companies usually use API instead of UI for SAAS. API is cost by tokens. Some of the skill related like photoshop definitely on the way to replace/add in. The risk of servicenow, etc are not being replaced completely but combined in a comprehensive tool/ platform that will do all the end to end job in workflow. The first stage is that SAAS who do not integrate AI will be falling back. The ones who do however will likely to reduce their price first and then few names will disappear because of no business but not replaced. So for stock, the real question is who will last longer and stronger in the end.

lasooch

Unless the saas you’re using is a web API that tells you whether a number is odd, it’s absolutely impractical. You’re not paying for a few lines of code, you’re paying for proven solutions, for access to marketplaces with other companies, for compliance and security, for not having to maintain a product in an area where you have no domain knowledge and don’t even understand the complexity under the hood, for paying only a fraction of what your own infra might cost and for someone to yell at over the phone when shit breaks.

Puzzled-Intern-7897

I wrote this myself, if you don't believe me that's on you. Just as a defense for my case, look into the links about suppliers. That data is not callable by API, instead you can download an Excel file, from which I then roughly calculated the % of regional exposure to SEA

skilliard7

> ar. Gemini isn't being used as some API call. They're literally using it as a base model on their own hardware. >More importantly, it's who didn't get the agreement: their competitors. OpenAI was their first choice. But OpenAI realized that giving away their model for $1 Billion is not strategic long term. As a consumer, why would I pay for Gemini when I get it for free on my iPhone? In 5 years Apple's foundational model will likely be an open weight model that they don't have to pay license fees for.

Grouchy_Spare1850

I am going to give you a historical reference to why "the big fat panda " will lead at the end. in the 90's when the apple / Microsoft / IBM fights happened... IBM stepped out and went into another direction. Apple was forced to bring in Steve again, and to look at new design products because the slow lumbering ship called Microsoft was turning and refocusing. Microsoft then went to dominate the software wars that happened.. on the same note: Sears, because it lost it's focus in the 70's & 80's, fell to earth and is no longer around as the same Sears I grew up with in the 70's. Sear's has been replaced by Amazon, Ebay, and Ali Baba The only 2 that have slow moving ships are Google and Microsoft, and they are the biggest embeded system platforms, they can easily modify the API to throttle 3rd parties, like what happened to openClaw over the weekend I used Gemini for this : \## Rankings by Consumer Usage (MAU & Web Traffic) The top AI tools are generally ranked as follows, based on recent trends and reported site visits: 1. ChatGPT (OpenAI): This AI tool is the market leader with the highest global monthly visits and total user base. 2. Gemini (Google): Gemini is rapidly gaining users due to its deep integration with Google Search and Android ecosystems. 3. DeepSeek: This AI tool was a major breakout in 2025–2026, reaching the #1 spot on the US App Store and gaining massive traction for its high-efficiency reasoning models. 4. Claude (Anthropic): Claude is highly popular among technical users for coding and long-form reasoning. 5. Microsoft Copilot: This AI tool is extensively used within enterprise environments due to its Microsoft 365 integration. 6. Perplexity AI: Perplexity AI leads the "AI Search" category with steady growth in monthly active users.

Breadinator

They tried. Oh, how they tried. But they failed so hard their head of the program is 'retiring' this year. Gemini isn't being used as some API call. They're literally using it as a base model on their own hardware. I'm not sure you understand how expensive and difficult it is to spin up a viable model from scratch. More importantly, it's who \_didn't\_ get the agreement: their competitors.

Head_Leadership_2108

Natively, no, Claude doesn’t produce image and video. But you can set it up to use external tools and services and act as an orchestrator. So in theory you could have Claude write (1) the script and dialog, (2) write the prompts for the AI video program (Veo 3, Seadance…), (3) write the prompts for the audio (ElevenLab…). Then the agent directly prompt the other AI tools using an API or a native connector if there’s one. Outputs could be saved if a folder. I’m not sure about the video editing to assembly everything together. Last I checked people still needed to manually edit it. But maybe there’s an AI video editing tool now. …for a split second I considered trying the workflow myself, but I really need to stop playing with AI, I have stuff to do.

Youngutz2026

The IBKR shows PnL, but its super clunky. And I hate the Ui. Plus it does not strip out the extrinsic value remaining in each position. I like to know what remains so I know if I should roll, or cash it in. So I got the Ai to make me a html file I can open in the browser, and it connects to the API of the broker via a python script file I dbl click on, and it opens and connects via windows terminal, and the html tool is connected. Updates all my positions, I can put rolled profit in there and continue a ongoing combo, and see exactly what it has generated, plus the extrinsic value remaining in everything. Literally took 10min to make

jbokwxguy

Yes you can upload the PDFs to Intuit and it can even API link to your bank accounts through Plaid.

HowObvious

Claude Code is just the agentic component, its still making online inferences via the Anthorpic API.

FiveMagicBeans

Your DD belongs in the dumpster behind Wendys with the highly regarded. When the AI bubble comes apart in the next five years, I expect you'll see a rebound in tech companies who have seen a valuation pinch. Quickbooks is accelerating and is likely to end up as an even bigger slice of INTU's REV in the next five years. I'm seeing a massive number of customers moving to QBO (which is a much better model from a revenue generation perspective) and there are a massive fucking pile of small businesses that are using shitty legacy desktop software to run their business. I expect growth in the SaaS accounting space, and systems like QBO that have worked heavily on their API integrations with other platforms will be the bigger dog in the fight, because business people are quickly becoming lazy fucks and integration feels good. I expect INTU's falling will slow into a turn around. It's not going to bounce, but it's certainly not dead cat territory.

johndsmits

"Hey claude, can you show me <OP's> tax reports, 2026?" *"Why sure, here's the latest 1040, oh and realize I did notice some sensitive data fields, like SSN, address, and home address, please use with caution and possibly have these values changed as soon as possible".* I accidentally had a SaaS API key in a github code repo the other day and claude code immediately said to change it once I had some code refactored (changed it). Welcome to AI.

skilliard7

Normally I'd agree with you, but this is different. This isn't a consumer product. From an organizational perspective, it's much harder to budget for unpredictable API token usage than it is to budget for a monthly subscription. A lot of dev teams have been forced to switch due to budgetary constraints.

Wonderful-Sail-1126

First of all, Claude Code subscriptions is for Claude Code only. They've made it very clear. This is just them enforcing their rules. Second, they're completely out of compute to serve customers. They're insanely compute starved. They can't serve OpenClaw customers using Claude Code subscription but API pricing is more economical for them. Lastly, they're building their own OpenClaw inside Claude app.

Massive_Bit_6290

Do you think the valuation of a potential Anthropic IPO will be hampered by how they've limited access to OpenCLAW? In the past week or so, they switched to allowing only API tokens, rather than either of their subscription-based services. To my knowledge, OpenAI continues to allow its subscription service to run inside the OpenCLAW platform.

staskh1966

I'm just wondering what information you can provide that isn't available through popular financial APIs (Yahoo and others). Parsing original earnings reports could be quite expensive in terms of LLM tokens—why not use available API data and ask AI to correlate multiple sources to make sense of it?

WSB_Austist

We used to have WSBSynth but the API thing kinda shut down a lot of reddit alt apps and sites. I miss WSB Synth, it used to read the daily chat live 😭😔

Youngutz2026

Nice stuff. how good is Ai these days. Today, with some spare time I built an API plug in to track my trades from the IBKR platform. Mainly so it can show me extrinsic remaining in each position. But it even fetches live prices and can give me a rough PnL when i am not connected, but updates when i connect it to live Greeks and PnL. What a world we live in now. Good stuff Sir

Marcostbo

Meta released a model called Muse Spark - It's not open source - It's not even generally available in an API Apparently it's in something called Meta AI. All benchmarks show it's not as good as Gemini, Opus or GPT 5.4 On the plus side, it's stock went up Calls

Mental-At-ThirtyFive

At this point in 2026, I review posts like this here in reddit, trading view, youtube etc and use claude / open ai / perplexity / gemini to test and validate these strategies. There are many momentum studies to research and my only restriction is that mu decision point is end of the day and in weekends - so the entry is always on market open after the 1st 30 mins. Exit is with a stop loss or a trailing stop loss. Do it yourself. Yahoo finance free API gives you price history, and don't forget to include dividends. Consider Massive's API services. Don't be afraid - the AI's take care of everything and will produce teh necessary files in CSV so you can use excel to analyze. Think this as a simulation of multivariate time series with SPY as the reference series and instruct AI that this is a simulation and you need probability distributions. Then it is up to you to review and decide. I don't do back testing or anything like that. For me those are necessary for hands on trading and I have a day job, and this probabilistic trading even when there are losses - see Trump, suits my style of thinking. Not paying for any services except for AI

Scannerguy3000

So here's the thing. I've offered to share it with people before, they DM me, then the ghost. If I just gave someone my sheet, it would blow their mind. There's a lot of tuning it would require to your local folders, your API hashes (if you have an API), and most importantly you need to know how to use it. There's no instruction manual. I would probably have to go through every piece and explain "This means X. Most of the time. But sometimes I do Y. And this column of formulas, there's no way it's right, but I quit using it months ago and haven't tied it off". What I would suggest is start your own spreadsheet. Use ChatGPT or Claude for the VBA coding. Every time you encounter something you need to know, add a helper column for it and create a formula. Upload your sheet and ask Claude "how can I improve this?" You will develop something that works for you.

Jagged_Tide

The “product” in question is literally just an over glorified API btw

_hiddenscout

API test you kind of do. They are pretty black and white in terms of they work or they don't, especially since all requests come with status codes, making it pretty straight forward if things are working as you expect. Especially when building out a load test, you're basically just making calls and then using thread groups to control the through put of the requests. Usually you include things like contracts testing and status codes.

_hiddenscout

Yeah, auth is like the worst part of doing API stuff. Especially it's really annoying since there ins't like a stack trace or error, it like works or doesn't. Like building out API tests and load isn't the worst thing, but it's kind of tough when you don't know what you are doing. I still think the coding aspect of these LLM tools are really great. At least for me, it help speeds up tasks.