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---
title: Headless Observability: Olly, CLI and MCP Usage on Coralogix
description: 39% of Coralogix sessions in the week of 20-26 October ran through Olly, the CLI or MCP, up from 31.8% in the week of 27 September-3 October. More than one in...
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og:description: 39% of Coralogix sessions in the week of 20-26 October ran through Olly, the CLI or MCP, up from 31.8% in the week of 27 September-3 October. More than one in...
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# Headless Observability: Olly, CLI and MCP Usage on Coralogix

**[Coralogix](https://daily.dev/sources/coralogix)** · 6 min read · 0 upvotes · 0 comments

## Summary

39% of Coralogix sessions in the week of 20-26 October ran through Olly, the CLI or MCP, up from 31.8% in the week of 27 September-3 October. More than one in five sessions used no web app at all, and 11,458 people, 40% of active users, worked headlessly. Claude Code and Cursor spend about 97% of their calls on log, span and metrics queries rather than configuration. Coralogix lets agents filter and aggregate data server-side with DataPrime and supports a compact TOON format to save context window space, and it doesn't charge per query or byte scanned.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://coralogix.com/blog/headless-observability-usage-benchmarks-2>

## Questions this post answers

### What percentage of queries do AI coding agents like Claude Code and Cursor spend on logs versus configuration when connected to an observability platform?

Roughly 97% of calls from both Claude Code and Cursor go to log, span and metrics queries, with only about 3% spent on configuration. Claude Code splits its queries 60% logs and spans, 37% metrics. Cursor runs 65% log and span queries and 32% metrics queries. GitHub Copilot differs, spending 27% of calls on configuration and only 58% on logs and spans.

_Comparing how agents like Claude Code and Cursor actually use observability tools is easier to track on daily.dev._

### What is TOON (Token-Oriented Object Notation) and why would an AI agent use it instead of JSON?

TOON is a data format supported by the Coralogix CLI that writes field names once followed by rows of values, instead of repeating keys for every record like JSON does. This reduces the size of query results so more of an AI agent's limited context window is left for reasoning about the actual data rather than parsing repeated field names.

_Developers optimizing agent context budgets can follow token-saving formats like this on daily.dev._

### How much did headless usage (CLI, MCP, AI agents) of Coralogix grow between late September and late October 2026?

The share of Coralogix sessions involving Olly, the CLI or MCP rose from 31.8% to 39.1% between the week of 27 September-3 October and the week of 20-26 October 2026. The number of people working headlessly grew from 9,141 to 11,458, a 25% increase, while sessions with no web app use at all grew 39% relative to the prior period.

_Teams tracking how fast agentic workflows replace dashboards can follow adoption data like this on daily.dev._

## Similar posts on daily.dev

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- [How the Coralogix CLI Adds Production Intelligence to Any Agent for Any Use Case](https://daily.dev/posts/how-the-coralogix-cli-adds-production-intelligence-to-any-agent-for-any-use-case-db44zai9u) · Coralogix · 0 upvotes · 0 comments
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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#observability](https://daily.dev/tags/observability), [#mcp](https://daily.dev/tags/mcp), [#claude-code](https://daily.dev/tags/claude-code), [#coralogix](https://daily.dev/tags/coralogix)

[View this post on daily.dev](https://daily.dev/posts/headless-observability-olly-cli-and-mcp-usage-on-coralogix-p378b1kcg)

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