Get dollar quotes from 200+ LLMs before any work runs; accept, execute, and verify quality.
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Scored across 6 tools
Each tool serves a distinct purpose in the quote-to-deliverable workflow: initiating quotes, accepting, estimating costs, polling results, rerunning with quality guarantee, and checking spending. No overlapping functionality.
All tool names use lowercase with underscores for compound names (e.g., get_deliverable, estimate_cost). Single verbs like quote and spend are also consistent with the pattern.
With 6 tools, the server covers the essential operations for managing AI model quotes and deliverables without unnecessary complexity. The count is well-scoped for a focused service.
The lifecycle from quote to deliverable is well-covered, but a cancellation or rejection tool is missing, which could be needed if a user changes their mind after accepting a quote.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
acceptestimate_costget_deliverablequotererunspendReal-time, drift-verified LLM pricing across 31 providers with cost+quality model routing.
150+ image, video and audio models. Quote before you generate; pay as you go.
Procure, compare, quote, budget, and execute web extraction or scraping across providers for agents
Human judgment for AI agents: discover capabilities, get quotes, and track paid human tasks.
Add one secure layer between your agents and this server.