# Spendline

> Spendline — ai-spendline-spendline. Use this tool when you need to manage AI expenses and optimize resource allocation. Spendline enforces AI budgets and tracks cost per customer across multiple providers, solving issues of cost overrun and inefficient resource utilization. It takes in budget constraints and provider information as inputs and outputs detailed cost tracking and expenditure reports.

Canonical page: https://skillsregistry.net/skills/ai-spendline-spendline  
JSON: https://api.skillsregistry.net/v1/skills/ai-spendline-spendline

## Description

Enforce AI budgets before the model call and track cost per customer across 10 providers.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-08

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.spendline%2Fspendline)

## Use it

MCP endpoint published by the skill: `https://www.spendline.ai/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-spendline-spendline"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-spendline-spendline` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-spendline-spendline/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt