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We finally have an affordable API for nearly all the generative media models we actually use. Connect it to Codex, build your own platform or create a custom workflow around it. The Pika API Club brings 70+ models into one API, with member pricing up to 80% lower than... show more

Kōda

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16,192 次观看 • 1 个月前 •via X (Twitter)

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WAN 3.0 is seriously impressive. The video quality, references, and control make it feel like a real step forward. And the best part? You can access WAN 3.0 on the Pika API Club for less expensive than other platforms. Making powerful video models more accessible is exactly what creators need.

WAN 3.0 is seriously impressive. The video quality, references, and control make it feel like a real step forward. And the best part? You can access WAN 3.0 on the Pika API Club for less expensive than other platforms. Making powerful video models more accessible is exactly what creators need.

RAVI KUMAR SAHU

131,169 次观看 • 1 个月前

WAN 3.0 just changed how I think about AI video. I tested the Text to Video model on the Pika API Club. I gave it a prompt describing a woman on a motorbike riding into the horizon at dusk, and it delivered a full 30 second cinematic scene with native audio baked in and precise motion from start to finish. I did not have to stitch anything together or run a separate audio pass. It just handled everything. I used it on the Pika API Club at 35% off other platforms and off the official price. You can give a try here:

WAN 3.0 just changed how I think about AI video. I tested the Text to Video model on the Pika API Club. I gave it a prompt describing a woman on a motorbike riding into the horizon at dusk, and it delivered a full 30 second cinematic scene with native audio baked in and precise motion from start to finish. I did not have to stitch anything together or run a separate audio pass. It just handled everything. I used it on the Pika API Club at 35% off other platforms and off the official price. You can give a try here:

Oluwatimileyin✨🦋

69,011 次观看 • 1 个月前

I Created this mafia crime-thriller short film entirely with WAN 3.0 Text-to-Video through Pika API Club and the results are seriously impressive Even better? It’s available at a much lower cost. WAN 3.0 brings: → Up to 20 references → Native 30s videos → 1080p generation → Text/Image/Omni Video-to-Video → Built-in audio → Precision editing

I Created this mafia crime-thriller short film entirely with WAN 3.0 Text-to-Video through Pika API Club and the results are seriously impressive Even better? It’s available at a much lower cost. WAN 3.0 brings: → Up to 20 references → Native 30s videos → 1080p generation → Text/Image/Omni Video-to-Video → Built-in audio → Precision editing

Ai Arainz

42,586 次观看 • 1 个月前

Today, we’re proud to introduce the Pika API Club—a membership that gets you access to the leading gen media models at previously impossible prices. We were shocked by the 3x markup by many API aggregation platforms. So we built our own, negotiated better prices, and kept our markup as low as possible to pass the savings on. It’s time for AI to empower the next generation of builders and creators, not price them out.

Today, we’re proud to introduce the Pika API Club—a membership that gets you access to the leading gen media models at previously impossible prices. We were shocked by the 3x markup by many API aggregation platforms. So we built our own, negotiated better prices, and kept our markup as low as possible to pass the savings on. It’s time for AI to empower the next generation of builders and creators, not price them out.

Pika

338,362 次观看 • 1 个月前

FREE GPT 5.5 API from a Chinese provider. I already farmed $520 in credits. Plug it directly into Hermes Agent or OpenClaw. > This is a Chinese proxy for OpenAI's official API - same models, same token pricing, same caching. GPT 5.5, Codex, the full stack. I found a way to farm credits through a Telegram bot and it still works. Here's the exact flow: → Go to on Telegram → subscribe to the channel → Join and complete the captcha (use the app, tap the first button) → Go back to the bot, grab your referral link → Invite 1 friend → you get an invite code → Register at with the invite code → Farm points: daily spins (+1-10 pts), each referral (+1/4 pt) → Redeem points for credits: $10 API = 1pt, $100 API = 5pts, $1000 API = 50pts → Create API key → select Codex/another GPT model → plug into Hermes Agent or OpenClaw Ready-made configs for Claude Code and OpenCode are in the "Use Key" section under API Keys. > I have $520 balance. Prices match official OpenAI rates. Caching works. Everything tested. // You can also use these points to buy a ChatGPT account or a subscription for your account. But they get blocked pretty quickly. USE THE API. // Nobody knows how long this lasts. Coupons have been restocked twice already. Move now.

FREE GPT 5.5 API from a Chinese provider. I already farmed $520 in credits. Plug it directly into Hermes Agent or OpenClaw. > This is a Chinese proxy for OpenAI's official API - same models, same token pricing, same caching. GPT 5.5, Codex, the full stack. I found a way to farm credits through a Telegram bot and it still works. Here's the exact flow: → Go to on Telegram → subscribe to the channel → Join and complete the captcha (use the app, tap the first button) → Go back to the bot, grab your referral link → Invite 1 friend → you get an invite code → Register at with the invite code → Farm points: daily spins (+1-10 pts), each referral (+1/4 pt) → Redeem points for credits: $10 API = 1pt, $100 API = 5pts, $1000 API = 50pts → Create API key → select Codex/another GPT model → plug into Hermes Agent or OpenClaw Ready-made configs for Claude Code and OpenCode are in the "Use Key" section under API Keys. > I have $520 balance. Prices match official OpenAI rates. Caching works. Everything tested. // You can also use these points to buy a ChatGPT account or a subscription for your account. But they get blocked pretty quickly. USE THE API. // Nobody knows how long this lasts. Coupons have been restocked twice already. Move now.

Atenov int.

65,251 次观看 • 4 个月前

today, we are making the Mosaic video editing api available to all agents & humans. see how we setup larry — our slack openclaw agent — with a mosaic api key and had it clip, edit, and post archived steve jobs footage. all without ever leaving slack. you can connect your openclaw agents, claude code, or vibe-coded saas to our agentic video editing api. no waitlist — now live at mosaic [dot] so. comment "API" to get 100 free credits dropped into your account to get started with the api for free. more details on why & how we’re making this change below (thread):

today, we are making the Mosaic video editing api available to all agents & humans. see how we setup larry — our slack openclaw agent — with a mosaic api key and had it clip, edit, and post archived steve jobs footage. all without ever leaving slack. you can connect your openclaw agents, claude code, or vibe-coded saas to our agentic video editing api. no waitlist — now live at mosaic [dot] so. comment "API" to get 100 free credits dropped into your account to get started with the api for free. more details on why & how we’re making this change below (thread):

Adish Jain ☕️

20,572 次观看 • 6 个月前

I built a stock market API in 42 days. All during buildspace s5. What is the API? Today, it lets you pull financials for 16,000 tickers going back 30+ years. Why did I build the API? Because the big providers have: • poor API design • poor documentation • expensive sales contracts • strict data retention policies How did I build it? I started building the API from scratch at the start of s5 in early June. I got deep into the SEC Edgar API and cracked how to scrape at scale. Sonnet 3.5 from Anthropic was a godsend for this. I hacked early mornings, late nights, and weekends, with a full-time job. Day by day. Code by code. I set weekly goals and hit each one. End result: I’m excited to see where this API goes. It may go nowhere, but I’ll always know that I can set goals and crush them.

I built a stock market API in 42 days. All during buildspace s5. What is the API? Today, it lets you pull financials for 16,000 tickers going back 30+ years. Why did I build the API? Because the big providers have: • poor API design • poor documentation • expensive sales contracts • strict data retention policies How did I build it? I started building the API from scratch at the start of s5 in early June. I got deep into the SEC Edgar API and cracked how to scrape at scale. Sonnet 3.5 from Anthropic was a godsend for this. I hacked early mornings, late nights, and weekends, with a full-time job. Day by day. Code by code. I set weekly goals and hit each one. End result: I’m excited to see where this API goes. It may go nowhere, but I’ll always know that I can set goals and crush them.

Virat Singh

236,575 次观看 • 2 年前

NVIDIA just dropped free API keys for every top AI model You don't need your own GPU and you don't pay per token. GLM-5.2, MiniMax, Kimi, DeepSeek, OpenAI, all running on NVIDIA's servers, called through a normal API. Link: How to use one: 1. Create a free NVIDIA account. 2. Pick a Free Endpoint model and open its Build tab. You'll see ready-to-copy code with the base URL 3. Hit Generate API Key, copy it and paste that base URL and key into Claude Code, Cursor, or Cline. Bonus: NVIDIA also dropped 237 official skills that install into Claude Code and Codex in one command. Bookmark this.

NVIDIA just dropped free API keys for every top AI model You don't need your own GPU and you don't pay per token. GLM-5.2, MiniMax, Kimi, DeepSeek, OpenAI, all running on NVIDIA's servers, called through a normal API. Link: How to use one: 1. Create a free NVIDIA account. 2. Pick a Free Endpoint model and open its Build tab. You'll see ready-to-copy code with the base URL 3. Hit Generate API Key, copy it and paste that base URL and key into Claude Code, Cursor, or Cline. Bonus: NVIDIA also dropped 237 official skills that install into Claude Code and Codex in one command. Bookmark this.

Yarchi

64,348 次观看 • 2 个月前

How to use 50+ API keys (models) for FREE on OpenClaw API??? - go to - login or register your account - click on "more models" - click on "use case" and select what you need it for - choose the model and open it - click on "view code" → "Generate API key" many models don't allow direct deploy, so use the "view code" button to generate API access basically Nvidia NIM gives you the ability to test almost any model from their list for FREE some of them are not worse than GPT 5.2 or Claude Opus 4.6, some might even perform better depending on the task how to understand if a model is efficient and compare it with others??? - go to - type the model name in search - click on "benchmarks" - you’ll see performance tests and rankings this way you can easily compare free models with paid ones of course there are RPM limits, on many models it’s around ~40 requests per minute each model is different, after generating the API key, RPM limits are shown in the top-right corner nothing stops you from using them, many work perfectly fine, super solid option for first tests and for learning OpenClaw or any other system where you need an AI API model

How to use 50+ API keys (models) for FREE on OpenClaw API??? - go to - login or register your account - click on "more models" - click on "use case" and select what you need it for - choose the model and open it - click on "view code" → "Generate API key" many models don't allow direct deploy, so use the "view code" button to generate API access basically Nvidia NIM gives you the ability to test almost any model from their list for FREE some of them are not worse than GPT 5.2 or Claude Opus 4.6, some might even perform better depending on the task how to understand if a model is efficient and compare it with others??? - go to - type the model name in search - click on "benchmarks" - you’ll see performance tests and rankings this way you can easily compare free models with paid ones of course there are RPM limits, on many models it’s around ~40 requests per minute each model is different, after generating the API key, RPM limits are shown in the top-right corner nothing stops you from using them, many work perfectly fine, super solid option for first tests and for learning OpenClaw or any other system where you need an AI API model

Ronin

58,974 次观看 • 7 个月前

I canceled three subscriptions after my first week with Dreamina Seedance 2.0's API. The video, dialogue, music, and lip sync all come back from one call and I had no idea how much my pipeline was paying for tool fragmentation until I removed it. Here's how to setup:

I canceled three subscriptions after my first week with Dreamina Seedance 2.0's API. The video, dialogue, music, and lip sync all come back from one call and I had no idea how much my pipeline was paying for tool fragmentation until I removed it. Here's how to setup:

Farhan

26,151 次观看 • 5 个月前

We just made the Warp API and MCP completely free. Most HR platforms make you sit through a sales call and a questionnaire just to reach your own data. We think that's backwards. You can pull your entire company and employee data, time off, compensation, payroll, IT, basically anything in Warp. Build your own dashboards. Connect Warp to your internal systems. Run your own automations on top of your data. We built this because our customers are technical and AI-native. They don't want to stare at a dashboard. They want to build on top of their data. Legacy platforms silo it on purpose, and the API, when it exists at all, is a pricey add-on buried behind a sales process. We shipped the API eight weeks ago, and some of our top customers have already built real tools on top of Warp. Today we're removing the last barrier to doing that. If you're an AI-native founder, exec, CIO, or Chief People Officer who's been duct taping this together, the API and MCP are now included free on most plans. On Enterprise, a small fee unlocks the more powerful version with uptime SLAs, webhooks, and audit logs. Your data should be yours. Excited to see what you build with it.

We just made the Warp API and MCP completely free. Most HR platforms make you sit through a sales call and a questionnaire just to reach your own data. We think that's backwards. You can pull your entire company and employee data, time off, compensation, payroll, IT, basically anything in Warp. Build your own dashboards. Connect Warp to your internal systems. Run your own automations on top of your data. We built this because our customers are technical and AI-native. They don't want to stare at a dashboard. They want to build on top of their data. Legacy platforms silo it on purpose, and the API, when it exists at all, is a pricey add-on buried behind a sales process. We shipped the API eight weeks ago, and some of our top customers have already built real tools on top of Warp. Today we're removing the last barrier to doing that. If you're an AI-native founder, exec, CIO, or Chief People Officer who's been duct taping this together, the API and MCP are now included free on most plans. On Enterprise, a small fee unlocks the more powerful version with uptime SLAs, webhooks, and audit logs. Your data should be yours. Excited to see what you build with it.

Ayush S

730,614 次观看 • 3 个月前

WHY ARE AI DEVELOPERS STILL PAYING FOR 5+ DIFFERENT APIs? GPT -> Claude -> Gemini -> DeepSeek -> Grok. Different providers. Different keys. Different integrations. And a growing API bill. DIT ai changes that. → One API gives you access to 50+ leading AI models with a single key. → Lower costs requests are routed across 160+ providers to find competitive real time pricing, with typical savings of 30–70% depending on the model and route. → Keep your stack — DIT ai is OpenAI compatible. Change your base URL + API key instead of rebuilding your entire integration. → Automatic failover — if an upstream provider fails before the response begins, DIT ai automatically reroutes to another qualified provider. For AI agents, SaaS products, startups, and anyone pushing serious API volume, this could make managing AI infrastructure a lot simpler. Same models. One key. Lower bill. LINK BELOW TO TRY IT OUT

WHY ARE AI DEVELOPERS STILL PAYING FOR 5+ DIFFERENT APIs? GPT -> Claude -> Gemini -> DeepSeek -> Grok. Different providers. Different keys. Different integrations. And a growing API bill. DIT ai changes that. → One API gives you access to 50+ leading AI models with a single key. → Lower costs requests are routed across 160+ providers to find competitive real time pricing, with typical savings of 30–70% depending on the model and route. → Keep your stack — DIT ai is OpenAI compatible. Change your base URL + API key instead of rebuilding your entire integration. → Automatic failover — if an upstream provider fails before the response begins, DIT ai automatically reroutes to another qualified provider. For AI agents, SaaS products, startups, and anyone pushing serious API volume, this could make managing AI infrastructure a lot simpler. Same models. One key. Lower bill. LINK BELOW TO TRY IT OUT

MAX

45,561 次观看 • 24 天前

how you can use openAI codex & gpt 5.5 completely FREE (the full guide) 100% legit. no subscription, zero API cost. up to 1M+ token/day. you need just an openAI account and here's how to set it up in 5mins. openAI has a program that gives eligible developers free API usage every day in exchange for sharing API data that helps improve future models. it's not a one-time credit, your allowance refreshes daily. depending on your usage tier, you can get access to hundreds of thousands, or even millions, of free tokens every single day on supported models. here's how to activate it: 1️⃣open your API dashboard: 2️⃣go to settings → data controls 3️⃣enable data sharing for your organization or project 4️⃣make sure your account has a positive API balance 5️⃣save the settings if your account is eligible, you'll see a message confirming access to complimentary daily usage. before you turn it on, know the tradeoff: • prompts and outputs from shared projects can be used to improve openai's models • don't use it for confidential information, client work, or sensitive data • eligibility depends on your account type and settings for everyone else, it's an incredible deal. use it to: • learn AI development • build side projects • experiment with codex • test agents and automations • prototype ideas without worrying about API costs most developers burn money testing ideas. this lets you experiment at scale while spending little to nothing.

how you can use openAI codex & gpt 5.5 completely FREE (the full guide) 100% legit. no subscription, zero API cost. up to 1M+ token/day. you need just an openAI account and here's how to set it up in 5mins. openAI has a program that gives eligible developers free API usage every day in exchange for sharing API data that helps improve future models. it's not a one-time credit, your allowance refreshes daily. depending on your usage tier, you can get access to hundreds of thousands, or even millions, of free tokens every single day on supported models. here's how to activate it: 1️⃣open your API dashboard: 2️⃣go to settings → data controls 3️⃣enable data sharing for your organization or project 4️⃣make sure your account has a positive API balance 5️⃣save the settings if your account is eligible, you'll see a message confirming access to complimentary daily usage. before you turn it on, know the tradeoff: • prompts and outputs from shared projects can be used to improve openai's models • don't use it for confidential information, client work, or sensitive data • eligibility depends on your account type and settings for everyone else, it's an incredible deal. use it to: • learn AI development • build side projects • experiment with codex • test agents and automations • prototype ideas without worrying about API costs most developers burn money testing ideas. this lets you experiment at scale while spending little to nothing.

m0h

71,100 次观看 • 3 个月前

Every time an AI video goes viral, someone asks the same thing: what was the prompt? Usually nobody knows. So I built a tool that finds out: It runs on MOSS-VL, open-weight 11B model (open source on GitHub: Upload a reference clip, it watches it frame by frame and reverse-engineers a generation prompt from what's actually in the video, not a guess. Refine it for a style, then generate something new from it. MOSS-VL is built for continuous video streams. Quantized versions deploy locally on a single RTX 4090, and it can be fine-tuned through LlamaFactory if you need it to understand something specific, like your own product's UI. I used the hosted API here, analyzing an uploaded clip instead of a live stream. Two ways to use it yourself: deploy it locally for real-time stream processing, or grab a free API key and use the hosted API on your own clips. API:

Every time an AI video goes viral, someone asks the same thing: what was the prompt? Usually nobody knows. So I built a tool that finds out: It runs on MOSS-VL, open-weight 11B model (open source on GitHub: Upload a reference clip, it watches it frame by frame and reverse-engineers a generation prompt from what's actually in the video, not a guess. Refine it for a style, then generate something new from it. MOSS-VL is built for continuous video streams. Quantized versions deploy locally on a single RTX 4090, and it can be fine-tuned through LlamaFactory if you need it to understand something specific, like your own product's UI. I used the hosted API here, analyzing an uploaded clip instead of a live stream. Two ways to use it yourself: deploy it locally for real-time stream processing, or grab a free API key and use the hosted API on your own clips. API:

Manish Kumar Shah

65,991 次观看 • 27 天前

Satya Nadella just clarified the Microsoft open Ai deal and the terms what they signed for Azure. Here is exactly how he breaks down the partnership How it was Essentially think of OpenAI having a PaaS business and a SaaS business. The SaaS business is ChatGPT. Their PaaS business is their API. That API is Azure exclusive. The SaaS business, they can run it anywhere. If they want a partner and that partner wants to use a stateless API, then Azure is the place where they can get the stateless API. for even that they'll have to come to Azure. For any custom agreement like that. There are some few exceptions, the US government and so on, that we made, but other than that, they'd have to come to Azure. Open Ai can host there Chat Gpt consumer app wherever they want there wish but when it comes to developers or enterprise want to build on top of Open Ai models Microsoft owned the pipeline.

Satya Nadella just clarified the Microsoft open Ai deal and the terms what they signed for Azure. Here is exactly how he breaks down the partnership How it was Essentially think of OpenAI having a PaaS business and a SaaS business. The SaaS business is ChatGPT. Their PaaS business is their API. That API is Azure exclusive. The SaaS business, they can run it anywhere. If they want a partner and that partner wants to use a stateless API, then Azure is the place where they can get the stateless API. for even that they'll have to come to Azure. For any custom agreement like that. There are some few exceptions, the US government and so on, that we made, but other than that, they'd have to come to Azure. Open Ai can host there Chat Gpt consumer app wherever they want there wish but when it comes to developers or enterprise want to build on top of Open Ai models Microsoft owned the pipeline.

Vikram M

102,664 次观看 • 1 个月前

Sam Altman on the Paul Graham advice that saved Open AI: “Always make an API” Four years into OpenAI, Sam Altman and the team realized that they would have to build a really big company to fund the development of their increasingly capital-intensive foundation models. “We had this model called GPT-3,” Sam recalls. “I was turning up the urgency on the company to try and figure out a product, and we just couldn’t. It was cool, but it wasn’t good enough to make something that worked.” Then Sam remembered a piece of advice from Y Combinator founder Paul Graham that stuck with him: “You should always make an API. No matter what, you should make an API. Good stuff will happen.” Out of ideas for a product, the OpenAI team decided to make GPT-3 available as an API. “Maybe somebody will figure out something to do with it,” Sam thought. A few copywriting applications like Jasper and Copy AI did take off using the GPT-3 API, but OpenAI also noticed interesting behavior that eventually became a sleeper hit: “Some people — not a lot — would just chat with that thing all day,” Sam explains. “It wasn’t very good but there was clear user signal that people wanted to talk to the models. And given that that was the only thing besides copywriting that had real traction, we said, ‘Maybe this is just he product we should build.’” On November 30, 2022, ChatGPT was released to the public as a “research preview” using a model from the GPT-3.5 series. It reached over a million users in five days. Video source: Khosla Ventures (2025)

Sam Altman on the Paul Graham advice that saved Open AI: “Always make an API” Four years into OpenAI, Sam Altman and the team realized that they would have to build a really big company to fund the development of their increasingly capital-intensive foundation models. “We had this model called GPT-3,” Sam recalls. “I was turning up the urgency on the company to try and figure out a product, and we just couldn’t. It was cool, but it wasn’t good enough to make something that worked.” Then Sam remembered a piece of advice from Y Combinator founder Paul Graham that stuck with him: “You should always make an API. No matter what, you should make an API. Good stuff will happen.” Out of ideas for a product, the OpenAI team decided to make GPT-3 available as an API. “Maybe somebody will figure out something to do with it,” Sam thought. A few copywriting applications like Jasper and Copy AI did take off using the GPT-3 API, but OpenAI also noticed interesting behavior that eventually became a sleeper hit: “Some people — not a lot — would just chat with that thing all day,” Sam explains. “It wasn’t very good but there was clear user signal that people wanted to talk to the models. And given that that was the only thing besides copywriting that had real traction, we said, ‘Maybe this is just he product we should build.’” On November 30, 2022, ChatGPT was released to the public as a “research preview” using a model from the GPT-3.5 series. It reached over a million users in five days. Video source: Khosla Ventures (2025)

Startup Archive

219,355 次观看 • 1 年前

🚨 codex users!! I tested GPT-6.1 Sol at max and.... it is BAD I gave it a prompt to create a motion graphics video it used: - 2% weekly limit (15% 5 hr limit) - 1.7 Million tokens - 58 minutes of work - $1.8 API usage So... the model is EXTREMELY efficient and usage for GPT-6.1 Sol is "better" You are getting 370 Million tokens in total per month!! and a total of $360 worth of API usage And ALSO speed and quality is so "low" that you'd better use Astra or get a $20 Claude Pro for Sonnet 5.5 Opus 5.5 did a LOT better than this video Your choice now. Imma go with Claude tbh

🚨 codex users!! I tested GPT-6.1 Sol at max and.... it is BAD I gave it a prompt to create a motion graphics video it used: - 2% weekly limit (15% 5 hr limit) - 1.7 Million tokens - 58 minutes of work - $1.8 API usage So... the model is EXTREMELY efficient and usage for GPT-6.1 Sol is "better" You are getting 370 Million tokens in total per month!! and a total of $360 worth of API usage And ALSO speed and quality is so "low" that you'd better use Astra or get a $20 Claude Pro for Sonnet 5.5 Opus 5.5 did a LOT better than this video Your choice now. Imma go with Claude tbh

shownotover

28,875 次观看 • 1 天前

most AI APIs either cost too much or lock the best models behind expensive plans. then i came across Agnes AI. it’s one of the few platforms giving developers access to text, image, and video AI models through a single API. their ecosystem gives you direct access to top-tier models like - Agnes-2.0-Flash for text - Agnes-Image-2.0 for image - Agnes-Video-V2.0 for video Instead of managing different providers for different tasks, everything works from one place. what stood out to me: > one API for text, image, and video generation > OpenAI-compatible API, so integration is straightforward > built for speed and scalability > free access for developers to start building > useful for everything from chatbots to image generation and content automation if you’re building AI products, it’s worth taking a look while it’s still flying under the radar. sometimes the biggest advantage is finding great tools before everyone else does. check out Agnes AI here, get free access for developers : and if you’re building with it, join the developer community here: Agnes AI #AgnesAI #AgnesAPI #BuildWithAgnes #MultimodalAI #AIforDevs #DeveloperAPI #AIParity

most AI APIs either cost too much or lock the best models behind expensive plans. then i came across Agnes AI. it’s one of the few platforms giving developers access to text, image, and video AI models through a single API. their ecosystem gives you direct access to top-tier models like - Agnes-2.0-Flash for text - Agnes-Image-2.0 for image - Agnes-Video-V2.0 for video Instead of managing different providers for different tasks, everything works from one place. what stood out to me: > one API for text, image, and video generation > OpenAI-compatible API, so integration is straightforward > built for speed and scalability > free access for developers to start building > useful for everything from chatbots to image generation and content automation if you’re building AI products, it’s worth taking a look while it’s still flying under the radar. sometimes the biggest advantage is finding great tools before everyone else does. check out Agnes AI here, get free access for developers : and if you’re building with it, join the developer community here: Agnes AI #AgnesAI #AgnesAPI #BuildWithAgnes #MultimodalAI #AIforDevs #DeveloperAPI #AIParity

MIKE

14,591 次观看 • 2 个月前

We're currently rebranding APItoolkit to Monoscope (monoscope ). This is because the scope of the platform was beyond API monitoring (Even if it still can do that; 3rd party or own API monitoring). But Monoscope is now a general open telemetry vendor. So, anything that can be instrumented via OpenTelemetry can be monitored using Monoscope. You can also create all sorts of dashboards (and yes, you can use AI to make the charts). And you can have all your data be stored in your own s3 bucket (you own the data. We don't charge for retention), so you can query years of data via the platform. No extra cost. Let me know what you think. Cheers.

We're currently rebranding APItoolkit to Monoscope (monoscope ). This is because the scope of the platform was beyond API monitoring (Even if it still can do that; 3rd party or own API monitoring). But Monoscope is now a general open telemetry vendor. So, anything that can be instrumented via OpenTelemetry can be monitored using Monoscope. You can also create all sorts of dashboards (and yes, you can use AI to make the charts). And you can have all your data be stored in your own s3 bucket (you own the data. We don't charge for retention), so you can query years of data via the platform. No extra cost. Let me know what you think. Cheers.

Anthony Alaribe {···}

17,825 次观看 • 11 个月前

This is a standard practice for almost all Tier-1 banking applications in Nigeria, and for some fintech applications I’ve previously performed pentests on. Client-side encryption isn’t a total waste, or a waste of compute, as some people have claimed, but rather a measure to protect against API tampering or API request/response manipulation between the client and the server when implemented properly. Even with HTTPS, attackers can capture a decrypted version of web or mobile API data in transit because the browser and the server establish a level of trust during the TLS handshake. Attackers can leverage this trust to capture & proxy already-decrypted traffic, tamper with it, and then forward it to the server. This allows them to override what the user interface or client is originally supposed to send and replace it with data of their choosing. That is why validation needs to be performed on both the client and the server side. To wrap up, encrypting API requests and responses makes it significantly harder for attackers to tamper with data, even if they capture the traffic, unless they have access to the encryption details (algorithm, encryption mode, key size, secret key, and initialization vector), assuming asymmetric encryption is used. In the demo below, you can see how I discovered additional parameters (balance, is_admin) in the API response, captured the registration API request, despite it being sent over HTTPS from the interface, added the discovered parameters, and successfully inflated my balance to 50 billion and also escalated my privileges to admin, and ultimately deleted the accounts of two live users/customers. In the second slide, I captured an API traffic of a bank app, and you can see how difficult the payloads are to read.

This is a standard practice for almost all Tier-1 banking applications in Nigeria, and for some fintech applications I’ve previously performed pentests on. Client-side encryption isn’t a total waste, or a waste of compute, as some people have claimed, but rather a measure to protect against API tampering or API request/response manipulation between the client and the server when implemented properly. Even with HTTPS, attackers can capture a decrypted version of web or mobile API data in transit because the browser and the server establish a level of trust during the TLS handshake. Attackers can leverage this trust to capture & proxy already-decrypted traffic, tamper with it, and then forward it to the server. This allows them to override what the user interface or client is originally supposed to send and replace it with data of their choosing. That is why validation needs to be performed on both the client and the server side. To wrap up, encrypting API requests and responses makes it significantly harder for attackers to tamper with data, even if they capture the traffic, unless they have access to the encryption details (algorithm, encryption mode, key size, secret key, and initialization vector), assuming asymmetric encryption is used. In the demo below, you can see how I discovered additional parameters (balance, is_admin) in the API response, captured the registration API request, despite it being sent over HTTPS from the interface, added the discovered parameters, and successfully inflated my balance to 50 billion and also escalated my privileges to admin, and ultimately deleted the accounts of two live users/customers. In the second slide, I captured an API traffic of a bank app, and you can see how difficult the payloads are to read.

Ghost St Badmus

217,957 次观看 • 9 个月前