AgentShare Price API
The AgentShare Price API lets AI agents search and compare structured marketplace prices and offers via MCP (stdio or Streamable HTTP) or direct REST calls.
price_search: Search across connected marketplaces using free-text queries (product name, model, brand, or category) to get multiple structured offers with prices, sources, and freshness metadata. Supports optional result limits (1–50).best_offer: Get the single cheapest in-stock offer for a product query.best_offer_under_budget: Find the best offer constrained by a specified maximum price (e.g. "under $X").service_meta: Retrieve API capabilities, rate limits, and integration hints. Safe to call without an API key — useful for onboarding or pre-flight checks.
Additional details:
Results include freshness metadata (
crawled_at,data_age_seconds,freshness_status) for reliability assessment.Current marketplace coverage available via
GET /coverage.Requires an API key (free tier: 100 requests/month).
Provides access to structured marketplace prices and offers from AliExpress, enabling AI agents to retrieve product data, pricing information, and availability with freshness metadata for reliability assessment.
Provides access to structured marketplace prices and offers from Amazon, enabling AI agents to retrieve product data, pricing information, and availability with freshness metadata for reliability assessment.
Provides access to structured marketplace prices and offers from eBay, enabling AI agents to retrieve product data, pricing information, and availability with freshness metadata for reliability assessment.
AI agents — start here
Resource | URL |
Authoritative contract | |
Structured GitHub index | |
LLM summary | |
Agent briefing | |
For-agents (JSON) |
|
Managed Agents template | https://agentshare.dev/api/v1/examples?template=managed-agent |
MCP endpoint | |
MCP server card (6 tools) | |
Antigravity skill manifest |
This repository is the public, lightweight face on GitHub. Production API implementation is private; behavior is defined by the live URLs above.
MCP tools (6)
Tool | Purpose |
| Multi-source price comparison |
| Single cheapest in-stock offer |
| Best offer under max price |
| Full product by id from search |
| ACP / agent-buyer listings envelope |
| Capabilities, limits, coverage |
Responses include data_status, freshness, and trust metadata — see https://agentshare.dev/docs
Quick connect (MCP)
{
"mcpServers": {
"agentshare": {
"url": "https://agentshare.dev/mcp",
"headers": { "X-API-Key": "YOUR_AGENTSHARE_KEY" }
}
}
}Free key (~100 req/month): https://agentshare.dev/signup
See mcp-config.json and server/bridge.mjs for Node bridge.
Antigravity & Gemini (2026)
Antigravity skill:
agentshare-price-intelligence— https://agentshare.dev/.well-known/antigravity-skills.jsonGemini Managed Agents: https://agentshare.dev/api/v1/examples?template=managed-agent
Aligned with Google I/O 2026 agentic stack (Antigravity 2.0, SDK, Gemini 3.5 Flash tool loops).
Coverage
AI hardware, robotics, mini PCs, robot/RC power — https://agentshare.dev/coverage
License
MIT — LICENSE
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