> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://developers.alephant.io/docs/overview/fin-ops-budget/cost-analytics/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://developers.alephant.io/_mcp/server.

# Cost Analytics

> Visualize and understand your AI spending

The Alephant dashboard transforms raw API logs into actionable FinOps intelligence.

## Overview Dashboard

Get a high-level view of your AI operations:

* **Total Spend & Requests:** Track volume over time.
* **Average Cost per Request:** Identify inefficient prompts or models.
* **Success Rate:** Monitor the health and reliability of your provider connections.

## Usage Trends

* **Token Consumption:** Analyze prompt vs. completion tokens.
* **Model Breakdown:** Discover which AI models are driving the highest costs. This helps you identify opportunities to downgrade certain tasks to cheaper models (e.g., from Claude 3 Opus to Haiku).
* **Provider Spend Breakdown:** Understand your financial dependency on different AI vendors.
* **Agent and Workflow Spend:** Attribute cost to the agent, member, workflow, session, or Virtual Key that created it.
* **Run-Level Outliers:** Find runs with unusual cost, latency, error rate, retry count, or fallback behavior.

## Agent Finance Signals

For monetized or payment-aware workflows, analytics should connect cost and revenue:

* token cost
* external API or tool spend
* outbound x402 spend
* endpoint revenue
* payment or platform fees
* known margin

See [Agent Finance](/docs/overview/fin-ops-budget/agent-finance) for the financial model and [Alerts](/docs/overview/fin-ops-budget/alerts) for anomaly and budget alert patterns.

## Enterprise Reporting

For Enterprise workspaces, analytics are grouped by **Department**. You can generate donut charts and trend lines to compare cross-department usage, making internal chargebacks and cost justification completely transparent.

> Visualize and understand your AI spending