api-balance

by ngopnotUpdated May 11, 2026

Tracks real-time balances for DeepSeek and OpenAI APIs, predicts exhaustion to prevent production call failures, and provides instant cost estimates for queries like 'can I afford 1000 calls?'. Developers and FinOps engineers use it to monitor costs without dashboards, configured via one environment variable. Applies to AI workloads where budget overruns risk downtime.

finops
api-monitoring
cost-estimation
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Overview

api-balance is an MCP server that monitors DeepSeek and OpenAI API balances in real time. It delivers early warnings before balances exhaust, avoiding failed production calls, and supports natural language queries for cost estimates. Setup requires only one environment variable, with no dashboard dependency.

Key Capabilities

  • Balance tracking: Queries current remaining credits for DeepSeek or OpenAI accounts.
  • Exhaustion prediction: Analyzes usage patterns to forecast when balances will hit zero.
  • Cost estimation: Responds to queries like can I afford 1000 calls? with precise projections based on current rates and balance.

These functions integrate into scripts or applications via MCP protocol for automated checks.

Use Cases

  1. Pre-batch processing: Before running a large inference job, query estimate_cost to confirm sufficient balance, preventing mid-job failures.

  2. CI/CD pipelines: Integrate check_balance and predict_exhaustion to gate deployments if costs exceed thresholds.

  3. Production monitoring: Set up recurring balance tracking calls in monitoring scripts to alert on low balances via Slack or email.

  4. Budget planning: Use cost estimation during sprint planning to model API spend for upcoming features relying on DeepSeek/OpenAI.

Who This Is For

AI developers building production applications on DeepSeek or OpenAI, FinOps engineers tracking cloud AI costs, and teams managing high-volume API usage. Suitable for environments prioritizing reliability over manual oversight.