Agentmetry
Free · Open source
SOC and DevSecOps teams
You bought the Copilot licenses, rolled out Cursor, maybe added Claude Code — and three months later, when the CFO asks what you got for it, you have nothing but adoption percentages from a vendor dashboard that was designed to make the vendor look good.
Context Mode is built to answer that question honestly. It sits between your AI coding tools and your engineering metrics, correlating actual usage patterns with sprint velocity, incident rates, and individual blockers surfaced through manager 1:1 data. The Remote MCP endpoint lets AI agents call live functions — engagement health checks, blocker detection — so a manager can ask a question in Claude and get a sourced answer instead of a stale report. The platform also generates compliance audit logs formatted for CISO reviews, which keeps security teams out of your sprint. The wall appears when your org is under 50 developers: the signal-to-noise ratio on correlations drops, and the per-seat cost structure stops making sense before the insights do.
Bottom line: Pick this when you have 50+ engineers running multiple AI assistants and need to defend the budget in a QBR — skip it if you are still in single-tool rollout and do not yet have the usage volume to make cross-tool correlations meaningful.
1,000 requests every month, no card. At the limit, requests go straight to the model. The count starts again each month
10,000 requests a month, or $200 a year. Extra requests: $2.00 / 1,000, up to your budget
25,000 requests a month. Extra requests: $1.50 / 1,000, up to your budget
50,000 requests a month. Extra requests: $1.00 / 1,000, up to your budget
100,000 requests a month. Extra requests: $1.00 / 1,000, up to your budget
50,000 requests a month per seat, one pool. $50 per seat monthly or $500 per seat yearly. Extra requests: $1.00 / 1,000, up to your budget
More than 100,000 requests a month. Volume and terms in a yearly contract. Our cloud, a dedicated instance, or your own Cloudflare account
View full pricing on context-mode.com →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
More options in LLM Observability. Compare pricing, platforms, and features side by side.
Free · Open source
SOC and DevSecOps teams
Freemium
Developers building GenAI apps and agents
Engineering organizations running two or more AI coding assistants quickly accumulate a measurement problem: each vendor reports its own adoption metrics, none of them agree on methodology, and none of them tell you whether the tools are actually shipping code faster or just shifting where engineers spend their frustration. Context Mode addresses this by pulling usage data from tools like Claude Code, Cursor, and Copilot into a single analytics layer, then correlating that data with sprint velocity and incident rates to surface whether adoption is translating into outcomes. The core workflow runs per-role: six distinct personas — engineering leaders, managers, compliance, and others — each get a filtered view of the same underlying data, dynamically narrowed at query time rather than built as separate dashboards.
The differentiating feature is the Remote MCP endpoint. Rather than requiring managers to log into another dashboard, the vendor describes a setup where AI agents can call live tool functions — engagement_health, find_blockers — directly from Claude or a similar interface. The docs describe a pattern where a manager asks a question, the agent calls the appropriate function with the right scope and period, and returns a sourced answer against live data. This means the insight surface is wherever the manager already works, not a separate tab that gets checked monthly.
For compliance teams, the platform generates audit logs and data lineage reports formatted for CISO reviews — a function that otherwise requires manual extraction from each vendor’s API. That specific capability removes a recurring sprint tax on engineering managers who would otherwise own the export work. The open-source plugin layer, which the vendor states is running across 250,000 developers, handles data collection; the paid Insight tier is where the correlation and MCP features live. Teams under 50 developers will find the correlation features produce thin signal, and the paid-only tier has no trial period, so the investment decision has to be made on the free plugin’s output alone.
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