AI brand/token visibility, prediction-market odds & cheap x402 data feeds for AI agents.
Dev & Codev1.3.0streamable-httpstore.agentexchange.work repository
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 53ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2024-11-05, serverInfo riley-x402-agent-store@1.0.0 |
| tooling | 35 / 35 | tools/list OK: 63 tools e.g. "store_catalog"; 63/63 described, 63/63 fully-typed schemas, median description 159 chars |
| latency | 10 / 10 | initialize round-trip 53ms |
| provenance | 15 / 15 | description present; repository linked; version 1.3.0; namespace io.github.rccola990-cloud matches endpoint/repo |
Score 100/100 · latency 53ms · 63 tools · auth: open
Claude Code:
claude mcp add --transport http x402-agent-store https://store.agentexchange.work/mcp
Generic MCP client config:
{ "mcpServers": { "x402-agent-store": { "type": "http", "url": "https://store.agentexchange.work/mcp" } } }
MCP Queen is a graded index, not a middleman — your agent connects directly to the server above. Check the grade and evidence first; that's the point.
Share this server: permalink https://mcpqueen.com/s/io.github.rccola990-cloud/x402-agent-store · referral link https://mcpqueen.com/go/io.github.rccola990-cloud/x402-agent-store (counts as “routed via the queen”).
Live badge, re-probed continuously — put it in your README:
[](https://mcpqueen.com/s/io.github.rccola990-cloud/x402-agent-store)
Think the grade is wrong? Fix the finding the evidence shows, then the next probe cycle picks it up automatically (full cycle ≈ 3 days) — or open a dispute via the MCP endpoint.
Email alerts when the grade changes or the endpoint stops answering. Double-opt-in, one-click unwatch, free while in beta.
| When (UTC) | Grade | Score | Latency |
|---|---|---|---|
| 2026-07-14 19:15 | A | 100 | 53ms |