Three Keyless Public APIs That Can Power a Stock Dashboard for Free

·1 views

A developer has identified three public, API-key-free data sources that together cover the core needs of a stock dashboard: price history, company fundamentals, and an earnings calendar. Nasdaq's quote API returns daily OHLCV data for any ticker via a simple HTTP request, while the SEC's XBRL database provides structured financial filings including revenue, EPS, and net income for all public companies. The SEC endpoint requires only a descriptive User-Agent header with a contact address to comply with its usage guidelines. All three feeds return plain JSON over standard HTTP, keeping per-run costs minimal compared to solutions requiring headless browsers or proxies. The developer has packaged each feed as a pay-per-use scraper on Apify, with the first rows of every run available free to verify data shape before committing.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Seven Writing Techniques That Help Your Content Get Cited by AI Search Engines

As AI-powered search tools like ChatGPT and Perplexity replace traditional link lists with direct quoted answers, content creators must shift focus from earning clicks to earning citations. This approach, known as answer engine optimization or generative engine optimization, requires writing that AI engines can easily parse and extract. Experts identify four core properties of citable content: specificity with real data, visible author authority, structural clarity, and verifiable claims linked to external sources. Practical techniques include front-loading answers in the first sentence of each section, using descriptive headings, and favoring short paragraphs over dense text blocks. Writers are also warned against common anti-patterns — such as burying key answers deep in paragraphs — that quietly reduce the likelihood of being quoted by AI systems.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Web developer returns to game dev roots, targets Play Store launch by July 2025

A Brazilian web developer who spent years using RPG Maker as a child has decided in 2025 to seriously return to game development after a four-year career in web development. During the COVID-19 pandemic, he and his wife created a quiz game about local culture that won a public funding grant — his first paid programming project. His current project, an idle game called Programmatura, began as a Tron-inspired roguelike but was scaled down to meet a faster release timeline. Despite setting up a Play Store developer account two months ago, he has yet to complete the publishing process. He now aims to launch Programmatura by the end of July 2025, with a possible early release on itch.io, while committing to smaller but more completable project scopes going forward.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Approval Queues Emerge as the Key Human-AI Handoff Layer in Agentic Systems

Enterprise AI agents increasingly rely on structured approval queues to pause execution and hand control to human reviewers before performing high-risk actions such as sending emails, updating records, or issuing refunds. Unlike simple chat-based oversight, these queues require each review item to carry the proposed action, risk reasoning, owner details, allowed decisions, escalation paths, and a timeout. Frameworks like LangGraph implement this through an interrupt model that saves full agent state, waits indefinitely for human input, and resumes execution on the same thread once a decision is made. OpenAI's Agents SDK follows a comparable approach, treating human-in-the-loop as a structured tool-call policy rather than an informal checkpoint. The shift reframes 'human in the loop' from a vague design principle into a precise runtime boundary that governs when and how autonomous agents yield control.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer replaces multiple hooking libraries with single Rust crate neohook

A developer building a Windows process-interception tool switched from multiple C++ hooking libraries to a single Rust crate called neohook, available on crates.io. The crate supports inline hooks, trampolines, and mid-function hooks, allowing developers to intercept function calls and run custom code while still invoking the original function. The author demonstrated its use on both plain Rust functions and a real Windows API, MessageBoxW from user32.dll, successfully rewriting dialog captions at runtime. A key highlight was neohook's cross-language compatibility, enabling the same hooking engine to be called from C, C++, and Python. The developer found the experience notably simpler than hand-writing unsafe hooking infrastructure, describing it as making hooking feel "boring in a good way".

0 comments Read more at DEV Community