Nexla introduces Helix, an open context layer that serves AI agents with the necessary business context, such as definitions, lineage, and policy, to improve their performance. The system ingests data…
Nexla, a data integration company, warns that schema drift in tool definitions can silently corrupt AI agent answers, citing an anonymized logistics incident where a new 'ON_HOLD' order status was omi…
Nexla published a critique of context-layer benchmarks, arguing that pass rates on token counts and tool calls fail to distinguish correct answers from lucky guesses. The company's analysis of two MCP…
Nexla's task-specific MCP server outperformed Avoma's MCP server in a benchmark on the same Avoma workspace, correctly answering all call analysis questions while Avoma scored 0.00 on three measured t…
Nexla positions itself as an Airbyte alternative for AI agents, emphasizing a metadata-first data layer with MCP support, while Airbyte has added an Agent Engine with agent-specific connectors and vec…
AI usage data, which tracks metrics such as active users, prompt volume, token consumption, and costs, is collected by nearly every Fortune 500 company, but most have far more AI in use than they real…
Nexla announced that its connector library has surpassed 1,000 bidirectional connectors for enterprise AI agents, spanning databases, SaaS applications, file systems, streaming platforms, LLMs, and ve…
Nexla's task-specific MCP server for Google Ads matched Google's native google-ads-mcp server on data fidelity in a 40-task benchmark, with 10 of 10 ground-truth answers identical, but required zero s…