AgentShare Price API Base URL: https://agentshare.dev/api/v1/ Authentication: Header: X-API-Key Get key: https://agentshare.dev/pricing MCP (Model Context Protocol) — remote tools over HTTP: Streamable HTTP endpoint: https://agentshare.dev/mcp Send header X-API-Key or Authorization: Bearer when connecting. Human docs: https://agentshare.dev/docs#mcp Same tools as REST: search, best offer, best under budget, service meta. Discovery (JSON, no auth): GET /agent.json - Full map: tools, auth, signup, MCP (same as /.well-known/agentshare.json) GET /.well-known/discovery.json - Consolidated pointers: same URIs as agent.json (compact index; machine-readable policy) GET /mcp.json - MCP directory listing (registry-friendly; same facts as agent.json) Curated MCP registry (separate from this API's own MCP tools; human + JSON): GET /registry - Human UI (editor-reviewed listings) GET /api/v1/registry/entries - Verified entries JSON GET /api/v1/public/mcp-registry/summary - Compact counts (public) Main endpoints: GET /search?q=&limit= - Search product prices GET /offers/best?q= - Best offer for a product GET /offers/best-under-budget?q=...&max_price=... - Best within budget GET /products/{id} - Product detail with prices GET /meta - Discovery (no auth) GET /agent-capabilities - Machine-readable API capabilities for agents (no auth) GET /coverage - Data coverage spec: focus vs expanding categories (no auth) GET /health - Health check (no auth) Legal (agent-friendly JSON, no auth): GET /legal/index.json - Terms + Privacy summaries GET /legal/terms.json - Terms of Service GET /legal/privacy.json - Privacy Policy Purpose: Provide structured price data for AI agents (incl. robotics & robot power). Sources: Tiki, Shopee, Lazada, Accesstrade. Response includes freshness_status, data_age_seconds for agent reasoning. OpenAPI: https://agentshare.dev/openapi.json Consolidated machine-readable index (pointers: agent.json, MCP, registry, legal): https://agentshare.dev/.well-known/discovery.json OpenAI plugin manifest (agent crawlers also scan this): https://agentshare.dev/.well-known/ai-plugin.json MCP stdio client repo (GitHub) — companion llms.txt for the Python MCP package (tools, auth, config; same product as this API): https://raw.githubusercontent.com/anhmtk/agentshare-mcp/main/llms.txt This file (same content at /llm.txt and /llms.txt, /api/llm.txt and /api/llms.txt): https://agentshare.dev/llm.txt https://agentshare.dev/llms.txt https://agentshare.dev/api/llm.txt https://agentshare.dev/api/llms.txt