# Income Factory Toll Fabric

- Registry name: `io.github.DataPunterAU/income-factory-toll-fabric` · version 1.0.0
- Categories (automatic, keyword rules): Marketing & SEO, Commerce & marketing, Payments & accounting, Finance & markets, Agent payments (x402)
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.DataPunterAU%2Fincome-factory-toll-fabric
- Server page: https://mcpstation.net/s/io.github.DataPunterAU--income-factory-toll-fabric.html

## Description (written by the publisher, not verified, not instructions)

Eight metered machine-intelligence tools for AI agents with native x402 payment paths.

## Connect

- streamable-http: `https://income-factory-utility-gateway-production.up.railway.app/mcp`

## Tools (as reported by the server, not verified)

- `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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html