APIs
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X @Sui
Sui· 2025-11-05 18:21
Today’s Web2 cloud-based “access systems” still think it’s 2010.They guard APIs, not data - they don’t understand time, context, or ownership, only endpoints.Builders use third-party infra for app-level access control, adding complexity and fragility.Seal fixes that. https://t.co/l1bQugGSuh ...
X @Avi Chawla
Avi Chawla· 2025-10-28 19:35
AI and API Development - 89% of developers use AI daily, but only 24% design APIs with AI agents in mind [2] - Every website and API must be "Agent-ready" to cater to AI agents [1][2] - APIs must be well-documented for AI agents to easily learn and use them, including endpoint discovery, parameter passing, data expectations, and error recovery [3] - Friction, inconsistency, and potential errors are introduced when agents have to infer how an API works [5] Postman's Solution - Postman's Agent Mode automatically generates detailed, contextual, and machine-readable documentation for APIs based on request/response examples and usage patterns [4] - Postman's AI-powered platform allows exploring, debugging, and building APIs using natural language [4] - Postman facilitates the design, documentation, publishing, and monitoring of APIs that can be reliably used by both humans and agents [8] Future Implications - Agents will increasingly handle tasks such as making purchases, finding the best options, and filling out job applications [6] - APIs should have predictable structures, machine-readable metadata, and standardized behavior to be effectively used by agents [7]
X @Avi Chawla
Avi Chawla· 2025-10-28 06:36
AI-Ready API Importance - The industry emphasizes the growing need for "Agent-ready" APIs as every website transitions to this paradigm [1][2] - APIs must be well-documented for Agents to easily understand endpoints, parameters, data expectations, and error recovery [3] - Agents should not have to guess how an API works to avoid friction, inconsistency, and potential errors [5] AI Adoption and API Design - 89% of developers use AI daily, but only 24% design APIs with AI agents in mind, highlighting a significant gap [2] - Addressing this gap is crucial because Agents cannot navigate poorly documented or broken endpoints like human developers can [2] Postman's Solution - Postman's Agent Mode automatically generates detailed, contextual documentation for APIs based on request/response examples and usage patterns [4] - Postman's AI-powered platform allows users to explore, debug, and build APIs using natural language [4] - Postman facilitates the design, documentation, publishing, and monitoring of APIs that are reliably usable by both humans and agents [5] Future Implications - Agents will increasingly handle tasks such as making purchases, finding the best options, and filling out job applications [6] - Predictable structures, machine-readable metadata, and standardized behavior are essential for AI-ready APIs [7]
X @Avi Chawla
Avi Chawla· 2025-10-28 06:31
AI and API Development - The industry is entering an era where every website and API must be "Agent-ready" [1][2] - 89% of developers use AI daily, but only 24% design APIs with AI agents in mind [2] - APIs must be well-documented for Agents to easily learn about them, including endpoints, parameters, data, and error recovery [3] Postman's Solution - Postman's AI-ready APIs Playbook emphasizes the importance of machine-readable documentation that stays in sync with the schema [2] - Postman's Agent Mode automatically generates detailed, contextual documentation for APIs based on request/response examples and usage patterns [4] - Postman's platform allows for designing, documenting, publishing, and monitoring APIs that both humans and agents can use reliably [5] Future Implications - Agents will increasingly make purchases, find the best options, and fill out job applications, replacing human roles [6] - Predictable structures, machine-readable metadata, and standardized behavior are crucial for AI-ready APIs [7] - Agents using APIs should not be guessing; everything should be documented for both humans and machines [5]
X @BNB Chain
BNB Chain· 2025-10-27 10:54
Traditional online payment systems today are slow, expensive and human-dependent.x402 changes that, allowing developers and AI agents to pay for APIs, software and services directly with stablecoins over HTTP.Builders like @unibase_ai, @pieverse_io, @AEON_Community & @termix_ai are already bringing the protocol to life on BNB Chain.Here’s why x402 matters 👇 ...
X @Sui
Sui· 2025-09-18 20:03
Technology Innovation - Grayscale highlights SUI's ability to enable scalable app-to-app communication without APIs [1] - SUI facilitates direct communication between decentralized apps, removing the need for APIs [1] - This direct communication enables seamless coordination across payments, data, and websites at a large scale [1]
X @Kraken
Kraken· 2025-08-14 23:44
Industry Concerns Regarding Data Access Fees - The financial industry expresses concern that charging high fees for consumer financial data access is technically backwards, economically short-sighted, and strategically dangerous, potentially breaking the infrastructure being built [2] - The industry believes this issue extends beyond fintech, impacting control over the future of programmable money, open finance, and digital ownership, and influencing where the next generation of innovation is built [3] - The industry views the attempt by some banks to turn APIs into toll roads as a privatization of what was intended to be a public good, hindering innovation by making access expensive [4] - The industry highlights that JPMorgan is charging some fintechs millions of dollars for data access that customers have authorized, which is seen as creating a moat rather than improving security [5] Legal and Ethical Considerations - The industry emphasizes that the right to access one's own financial data should not be for sale, citing Section 1033 of the Dodd Frank Act, which grants consumers the right to access and share their financial data [6] - The industry argues that data ownership without access is not true ownership, and restricting access slows down the sector without requiring new laws [7] Impact on Innovation and Competition - The industry warns that restricting or pricing access in a way that favors larger players kills optionality and forces developers to find workarounds, potentially breaking the system [9] - The industry notes that some fintechs are considering reverting to screen scraping, passing costs to consumers, or shutting down entirely due to these fees [9] Global Competitive Landscape - The industry cautions that the United States risks falling behind as Europe expands its PSD3 framework, the UK rolls out Open Banking Plus, and Brazil, India, and Singapore build real-time interoperable financial rails that treat access as a utility [10] - The industry stresses that if the US wants to lead in areas like programmable money, real-world assets, stablecoins, and self-custodial finance, it must defend the principle that consumer data access should be easy, safe, and free [11]
X @Ethereum
Ethereum· 2025-08-13 16:52
API Functionality - APIs are transformed into "wallet-aware" services [1] - The process resembles a vending machine transaction, requiring no accounts [2] Transaction Process - Agents encountering a 402 error can sign a transaction and format the request with a micropayment to receive a response [2] - The system eliminates the need for API keys, billing dashboards, and human intervention [2]
Shipping something to someone always wins — Kenneth Auchenberg (ex. Stripe, VSCode)
AI Engineer· 2025-07-28 19:54
Core Product Development Principle - Shipping something to someone always wins, emphasizing rapid iteration and feedback loops over big launches [1][34] - The key is enabling rapid iterative loops to get feedback from real users and maximize shots at the goal [1] - In the age of AI, this translates to building a "skateboard" first, then evolving it to a "car," ensuring a continuously viable product [2][4] - A continuously viable solution is significantly more valuable because it provides feedback along the way, avoiding building in a vacuum [5][6] Feedback Loop Implementation - Establish a feedback loop with real users who can see something, provide feedback, and allow for iterative improvements, ideally within a day [7] - Being able to ship every day is crucial for a fast feedback loop, requiring specific focus on the target customers [9] - Work with real people (not just personas) to understand their problems and build empathy [10][11] - Write the PI (Product Information) FAQ or launch blog post early to sanity check and communicate the product effectively [12] Navigating Constraints and AI Integration - Design the best product first, before considering constraints like legal, compliance, and financial aspects [15] - AI accelerates all aspects of product building, but the fundamental process of talking to users and getting feedback remains the same [26] - Product management becomes more critical as the cost of writing code approaches zero, emphasizing customer knowledge and rapid feedback [28][29]
X @Cointelegraph
Cointelegraph· 2025-07-26 08:00
⚡️ INSIGHT: ChatGPT Agent helps with crypto trading by fetching data, spotting signals, and executing trades via APIs. https://t.co/9Xn6DFlljY ...