io.github.DataPunterAU/income-factory-toll-fabric · v1.0.0 · marketing-and-seo
Income Factory Toll Fabric is healthy: it completed an MCP handshake in 585 ms and exposes 9 tools.
Eight metered machine-intelligence tools for AI agents with native x402 payment paths.
Endpoint: https://income-factory-utility-gateway-production.up.railway.app/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 9 |
| Latency | 585 ms |
| Last checked (UTC) | 2026-10-16T04:25:10.078Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-16T04:25:10.078Z | Healthy | 585 | |
| 2026-10-15T01:05:37.544Z | Healthy | 1724 |
discover_income_factory | Discover Income Factory metered intelligence tollbooths, prices and native x402 payment endpoints. |
google_maps_b2b_leads | Find ranked Google Maps B2B leads with public business contact evidence. |
p001_procurement | Rank Australian Government procurement re-tender candidates from historical recurrence evidence. |
instagram_trends | Rank live Instagram hashtag posts for commercial product and content opportunities. |
linkedin_jobs | Rank public LinkedIn job listings by freshness, competition, relevance and application accessibility. |
youtube_content | Rank YouTube content opportunities using velocity, engagement, freshness and channel outperformance. |
tiktok_trends | Rank TikTok trends by momentum, engagement, freshness, saturation risk and commercial relevance. |
hiring_demand | Measure LinkedIn hiring demand and candidate opportunity from observed job-listing signals. |
horse_truth | Return Australian horse racing intelligence from Horse Truth machine-readable evidence. |