What problem does it solve? Finding and calling the right third-party API for scraping, enrichment, or search tasks is slow and error-prone. This Skill gives agents a single CLI workflow to search a catalog of hundreds of data endpoints, inspect their input schemas, and execute them with structured parameters instead of writing custom scrapers. ## Core Features & Use Cases - Endpoint Discovery: Search the Monid catalog with natural language queries (monid discover -q "twitter posts") and filter by relevance score. - Schema Inspection & Execution: Read exact pathParams, queryParams, and body schemas with monid inspect, then run endpoints with mapped flags and poll for results. - Cost & Run Management: Track run statuses, stop stoppable runs, check workspace balance, and handle BLOCKED runs caused by budget or run-cap controls. - Use Case: A user asks to compare AI discussion on Twitter versus LinkedIn. The agent discovers both endpoints, inspects their schemas, fires two runs in parallel, polls until completion, and saves both result files for comparison. ## Quick Start Ask the agent to use monid to discover and run an endpoint that scrapes recent Twitter posts about a topic and save the results to a JSON file.