GOLOGIN AUTHOR
Kevin Meneses
Kevin Meneses González is a Python developer, data analyst and technical writer based in Tenerife, Spain. He comes from a CRM consulting background, with years of hands-on work on SAP and Salesforce Marketing Cloud, and today he focuses on data automation, AI tooling and web data pipelines. At Gologin, Kevin writes hands-on reviews of AI search APIs and browser automation tools. His method is simple: build a test harness, run the same queries across products, and publish only what he measured, from latency and pricing to the exact terminal output of every code sample. Outside Gologin, Kevin writes about Python, data engineering and algorithmic trading for 5,700+ followers on Medium, with articles published in CodeX, The Pythoneers and Data Engineer Things. He also shares open-source projects on GitHub, including stock screeners, backtesting dashboards and social media automation tools.

All articles by Kevin Meneses

Twitter Automation in 2026: X API Rules, Costs and Multiple Accounts
Twitter automation in 2026: what X allows, what the pay-per-use X API costs ($0.015 per post) and how to run up to 10 accounts without mixing sessions.
November 10, 2026
DataForSEO Review 2026: SERP Data, Formats and Pricing for AI Agents
DataForSEO review 2026: we tested the DataForSEO API on 10 AI agent queries for SERP pricing from $0.60 per 1,000, Live vs queue speed and MCP.
November 2, 2026
SerpApi Review 2026: Search Quality, Formats and Pricing for AI Agents
SerpApi review 2026: we tested the Google SERP API on 10 AI agent queries for speed, Markdown output, MCP and pricing from $1.96 to $25 per 1,000.
November 2, 2026
Tavily Review 2026: Search Quality, Formats and Pricing for AI Agents
Most AI agents don’t fail because the model is weak. They fail because the context is stale, bloated, or missing. Search is where that context comes from. In 2026, Tavily is the default answer for many teams: it ships in LangChain tutorials, has an MCP server, and the free tier takes minutes to set up. […]
October 20, 2026
Exa AI Review 2026: Search Quality, Formats and Pricing for AI Agents
Most search APIs were built for people and adapted for agents. Exa was built the other way around. It doesn’t rank pages by keywords. It ranks them by meaning, using embeddings-based retrieval, and it hands back page content an LLM can read without a scraping layer in between. If you’re: building AI agents, running a […]
October 22, 2026