Oxylabs Agent Skills
Oxylabs now offers official Agent Skills – structured skill files that teach AI agents and coding assistants work with Oxylabs products with significantly more accurate code and fewer hallucinations.
Also shipped Jul 15, 2026Oxylabs in July 2026 →
BigQuery supports data governance tags , which let you enforce column-level security and data masking
BigQuery supports data governance tags , which let you enforce column-level security and data masking. Data governance tags are a type of Resource Manager tag that you can attach to sensitive columns and use in BigQuery data policies to grant conditional access to your users. This feature is in Preview .
Integrated SaaS listings on Snowflake Marketplace (General availability)
Select Integrated SaaS listings now let you start a free trial of a provider’s application directly from a Marketplace listing. This experience replaces the trials previously offered through Snowflake Partner Connect and brings these trials into the Marketplace, where discovery, trial, and purchase all happen in one place.
Consumer-controlled maintenance policies , General Availability
Consumer-controlled maintenance policies for Snowflake Native Apps are now generally available. Consumers can define when Snowflake Native App upgrades happen in their accounts by creating a maintenance policy and applying it to an account or an individual app. For more information, see Consumer-controlled maintenance policies .
Thinking Machine Labs Inkling now available as a Databricks-hosted model in Public Preview
Model Serving now supports Thinking Machine Labs Inkling as a Databricks-hosted model. This mixture of experts (MoE) model supports text and image inputs, a 1 million token context window, and is optimized for coding, reasoning, and agentic tool-use tasks. You can access this model using Foundation Model APIs . Inkling is available in Public Preview .
Custom URLs for your Databricks account (Public Preview)
You can now claim and enable a Custom URL that gives your Databricks account a single, branded entry point (for example, acme.databricks.com ) for all users and workspaces. See Give your Databricks account a custom URL .
AI Search High QPS is now generally available
AI Search High QPS is now generally available for standard endpoints. Set a target QPS on standard AI Search endpoints to power high-throughput, real-time workloads like search bars, recommendation systems, and entity matching. High QPS is enabled by default, but existing endpoints are not affected.
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Improved fingerprint validation and device-memory alignment
Headless Browser now offers more realistic browser fingerprints and continues to align device-memory values with the rest of the emulated fingerprint to lower detection risk for all users. This change applies automatically to all Headless Browser sessions.
Citation retries for ChatGPT web search
ChatGPT source requests with search set to true now retry citation extraction automatically, roughly doubling citation coverage in the parsed citations field. The overall request success rate is unchanged, and no payload changes are needed for requests already using search: true.
More accurate Walmart e-commerce pricing
Parsed output from Walmart e-commerce sources now returns pricing data more reliably and consistently. If you're tracking competitor prices or monitoring product catalogs, you'll get cleaner numbers automatically with new requests using "parse": true.
Batch requests for LLM targets
LLM sources now support up to 5,000 prompts within a single batch request for chatgpt, gemini, and perplexity sources. Every prompt runs as its own job, so you get one job ID back per prompt. Learn more about batch requests here.
Improved success rates on hard-to-reach targets
We have rolled out improvements to how requests are handled on sites using CAPTCHA. Success rates on these targets should improve, particularly for jobs that previously saw elevated failure or retry rates. Learn more in our documentation.
Structured Google Scholar results
Google Scholar is now a dedicated parsed source in Web Scraper API. Set source to google_scholar and parse to true to receive parsed JSON directly.
Custom parser for Home Depot data
A dedicated parser for Home Depot product pages is now available through the universal scraping source. Enable parsing on your request to receive structured product data (such as title, price, availability, and specifications) instead of raw HTML.
Custom browser instructions for LLM sources
LLM sources now support custom browser instructions, allowing you to define actions (e.g., clicks, scrolls, waits) to control page behavior before content is extracted.