#spend

Budget & cost control for AI agents: hard per-agent spend caps, rate limits, idempotency, and human-in-the-loop approval — enforced before each LLM call, not after the invoice. One hosted MCP endpoint (no proxy or self-hosting), settled via x402 (USDC on Base).

Market-aware paid decision preflights before larger agent tool spend, helping agents decide what to buy, skip, or stop.

Preflight spend control for AI agents. Block runaway agent loops before they start - not after the bill arrives. Per-request cost ceilings, budget checks, and outcome-based metering in 2 MCP tool calls.

MCP server for USASpending.gov: federal contract and award data across all agencies, FFATA subawards, recipient profiles, agency depth (sub-agencies, federal accounts, object classes), award detail rollups, transaction-level and geographic search, IDV depth, and Treasury federal accounts. 55 tools.

Give your AI agent financial autonomy without giving up control. Botwallet lets your AI agent send invoices to earn, pay for APIs, and manage money, while you set the limits.

Track and optimize AI API spending across 16 providers. Real-time pricing, model routing analysis, caching opportunities, unit economics, and spend forecasting. Connects to OpenAI, Anthropic, AWS, GCP, Stripe, and more. Tools: list_providers, connect_account, get_financial_overview, query_spending, get_recommendations, detect_anomalies, get_setup_status, upload_bank_csv

AI agents call LLMs, invoke tools, and hit APIs — but have no built-in way to cap spend. A single agent loop can burn hundreds of dollars before anyone notices. Cycles MCP Server gives any MCP-compatible agent a runtime budget authority: tools to check, reserve, spend, and release budget before and after every costly operation. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP host. Supports per-tenant budgets, soft-landing caps, and automatic heartbeat for long-running operations.

Burnwatch detects every paid service in your project, tracks spend across 14 AI-native tools (Anthropic, OpenAI, Vercel, Supabase, Stripe, Scrapfly, Browserbase, and more), and exposes real-time cost data via MCP tools — so any LLM can factor budget into its recommendations. Four tools: get_spend_brief (full project spend overview), get_service_spend (single service deep dive with gotchas and alternatives), detect_paid_services (scan any project), list_registry_services (browse the registry). Zero dependencies. Works with Claude Code, Cursor, or any MCP-enabled client.

x402-paid budget management for AI agents on Solana. Pre-transaction spending checks, cumulative spend tracking, and spending analytics. Agents call this before making purchases to enforce budgets and prevent overspend. Pay-per-call via x402 USDC micropayments. Part of the RelayZero agent economy network.

Search federal contracts, opportunities, vendor profiles, bid protests, and agency data through one unified API. Covers FPDS, SAM.gov, USAspending, Grants.gov, and more.

AI Agents to support sustainable spending on Bunq using MCP servers

mcp server to interact with usaspending.gov api