Agentic loops in production can be synonymous with high costs, especially when it comes to both LLM and external application usage via APIs, where billing is often closely related to token usage.
There’s no denying the excitement around Model Context Protocol (MCP), an open protocol for connecting AI assistants with external data, tools, and APIs. Since its debut by Anthropic in late 2024, thousands of MCP servers have emerged for devops, cloud, and beyond.
Now that developers have integrated MCP servers into applications, and they have been battle-tested, usage patterns are emerging. For instance, supplying better context for AI is the most commonly cited primary value of using MCP, according to Zuplo’s State of MCP report released in early 2026. The Zuplo report also found that 63% of MCP users adopt MCP servers for accessing data sources such as documentation or knowledge bases.
In software development, context engineering is the act of supplying AI coding agents with relevant data and capabilities to improve the accuracy and relevance of their outputs. It also involves optimizing the breadth of information to guide efficient processing. Such context can include coding style
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Fintech payroll platform Ontop has partnered with stablecoin yield infrastructure provider Opentrade to launch a platform-wide ~3% APR rewards program for its remote workforce users. Mitigating Risk for Cross-Border Workers Ontop has rolled out a ~3% APR rewards program for its global workforce users after integrating stablecoin yield infrastructure from Opentrade. Under the program, Ontop […]
Crypto wallet data sits at the center of every onchain app. Portfolio trackers, tax tools, AI agents, DeFi dashboards: they all need it.
Building it from scratch is brutal. Nodes for every chain. Indexers. Parsers. Reorg handling. Token metadata. Price feeds. Months of work before you ship a single feature.
A crypto wallet data API replaces that stack with one endpoint. You query an address. You get balances, transactions, NFTs, and DeFi positions back as clean JSON.
This guide ranks the five best wallet APIs developers use in 2026. We cover what they support, who they fit, and where they trade off. Wallet APIs are one slice of the broader crypto API landscape. This guide is specific to wallet-level data.
The winner is CoinStats. The runners-up are strong in narrower lanes.
What Is a Crypto Wallet Data API?
A crypto wallet data API exposes blockchain wallet data through HTTP requests. You pass an address. You get structured JSON back.
The data covers everything a wallet shows on screen
Deloitte has acquired Web3 infrastructure company Blocknative in a talent-focused deal that will see the startup wind down its APIs and gas oracle network next month, even as the Big Four firm deepens its push into crypto consulting. According to The…
My most exciting news of last week: Amazon Bedrock AgentCore previewed the first managed payment capabilities enabling AI agents to autonomously access and pay for APIs, MCP servers, web content, and other agents. Built in partnership with Coinbase and Stripe, it removes the undifferentiated heavy lifting of building customized systems for billing, credential management, and […]
Modern frontend applications rely on cloud services for far more than basic data fetching. Authentication, search, file uploads, feature flags, notifications and analytics often depend on APIs and managed services running behind the scenes. Because of that, frontend reliability is closely tied to cloud reliability, even when the frontend team does not directly own the infrastructure.
This is often one of the biggest mindsets shifts for frontend engineers. We often think about failure as a total outage where the whole site is down. In practice, that is not what most users experience. More often, the interface is partially degraded: A dashboard loads but one panel is empty, a form saves but the confirmation never arrives, or a file upload stalls while the rest of the page still appears normal.
That is why I think frontend resilience deserves more attention in day-to-day engineering conversations. The goal is not to prevent every cloud issue. That is rarely realistic. The more practical g
