RT mert | helius.dev (@0xMert_)today, Solana changes foreverwe've solved the biggest data/RPC problem that existssolana historical/archival data — has now been redesignedquick context:today when you query historical data (getBlock/getTransaction/getSignaturesForAddress), it hits Google BigTablethis is i) slow, ii) expensive, iii) inflexible for queriese.g., you physically can not get the first tx for a Solana address without looping back endlessly from the latest txfor busy addresses, this can take thousand ...

A crypto trading journal helps you stay organized and learn from your past trades.In today’s API tutorial, learn how to use a Google Sheets–based Crypto Trading Journal powered by the CoinGecko API to log and analyze your trades.Read the full guide 👇https://t.co/NDWg62qYru ...

RT Vladezy (@vladezy_)What if there was such an API?An API that would make builduing apps on Starknet 1000x easier?What if...GM Voyagers. https://t.co/SWIownh1Ai ...

x402 payment protocol hit 43k transactions in 30 days from zero. google salesforce stripe cloudflare all integrated it october 13-15. coinbase built the only rails where ai agents can pay for apis without accounts or api keys. coin stock doesn't reflect base becoming default infrastructure for $47b agent economy ...

gRPC is now generally available (GA) on Sui - the next-gen full node API for accessing blockchain data.It’s faster, has real-time API, and is typed across Rust, Go, TS & more.What's happening with JSON-RPC? 👇 https://t.co/szpMk7sosW ...

3/ Since integrating CoinGecko API, @0xProject has:🚀 Scaled from 30k to 200k+ trading pairs📈 Processed $154B+ in swap volume for 9M+ usersRead the full case study ⬇️https://t.co/bklORd9Jnk ...

Responses API Overview - OpenAI introduced the Responses API to evolve beyond the Chat Completions API, addressing design limitations and enabling new functionalities for building agentic applications [1] - The Responses API combines the simplicity of chat completions with the ability to perform more agentic tasks, simplifying workflows like tool use, code execution, and state management [1] - The core of the Responses API is an agentic loop, allowing multiple actions within a single API request, unlike Chat Completions which only allows one model sample per request [2] - The Responses API uses "items" for everything, including messages, function calls, and MCP calls, making coding easier compared to Chat Completions where function calling was bolted onto messages [2] - The Responses API is purpose-built for reasoning models, preserving reasoning from request to request, boosting tool calling performance by 5% in primary tool calling eval tobench [2] - The Responses API facilitates multimodal workflows, making it easier to work with images and other multimodal content, including support for context stuffing with files like PDFs [2] - Streaming is rethought in the Responses API, emitting a finite number of strongly typed events, simplifying development compared to Chat Completions' object deltas [2] - Long multi-turn rollouts with the Responses API are 20% faster and less expensive due to the ability to rehydrate context from request to request, preserving the chain of thought [2] Agent Platform and Tools - OpenAI is changing deployment with its agent platform, centering on the Responses API and Agents SDK for building embeddable, customizable UIs [3] - Agent Builder and Chatkit, built on the Responses API, make it easy to build workflows into applications with minimal effort [3] - The Responses API is at the core of the improvement flywheel, enabling distillation and reinforcement fine-tuning using stateful data, along with tools like web search and file search [3]

RT Sundar Pichai (@sundarpichai)Our new Gemini 2.5 Computer Use model is now available in the Gemini API, setting a new standard on multiple benchmarks with lower latency. These are early days, but the model’s ability to interact with the web – like scrolling, filling forms + navigating dropdowns – is an important next step in building general-purpose agents.Developers can try these capabilities via API in @googleaistudio + Vertex AI. ...

Core Insights - Ebix has modernized its EbixExchange connectivity stack and launched a new plug-and-play connector platform for various stakeholders in the insurance industry, powered by technology from 1SilverBullet [1][5] - The new platform allows for modular APIs that integrate seamlessly into clients' existing systems, enhancing efficiency and reducing maintenance efforts [2][3] Group 1: Platform Features - The platform exposes functionalities such as quoting, eApp, enrollment, underwriting checks, payments, and policy servicing as modular APIs [2] - It utilizes a standardized connector fabric with prebuilt mappings, enabling easier integration through configuration rather than custom builds [2][3] - The unified gateway model allows one interface to connect with multiple insurers and product lines, streamlining operations [2] Group 2: Client Benefits - Clients can access real-time multi-carrier quoting, enrollment, and eligibility data, improving operational efficiency [3] - In personal and commercial lines, brokers and MGAs can accelerate product launches by invoking connectors for various processes [3] - Life insurance distributors can enable simplified application processes, including eSigning and premium collection, through the new connectors [3] Group 3: Market Expansion - The connector platform is initially rolling out with a focus on health insurance use cases in the US and property & casualty in India, with plans for further expansion [5] - Existing customers can adopt the new APIs incrementally, while new customers can start with direct API integration [5] Group 4: Company Overview - Ebix operates AI-driven, API-first digital marketplaces across multiple industries, including health, life, and property & casualty insurance [6] - The company provides critical infrastructure for regulated markets and has a strong presence in over 40 nations [8]

RT mert | helius.dev (@0xMert_)Solana is the API for capitalism ...