io.github.RubenTay/agent-vending-factory · v0.1.3 · crypto-web3
Agent Vending Factory is healthy: it completed an MCP handshake in 2620 ms and exposes 4 tools.
Pay-per-call MCP tools via x402 USDC: ZAR prices, data extraction, Python sandbox, SA flights.
Endpoint: https://agent-vending-factory-3srpjtr7na-ew.a.run.app/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 4 |
| Latency | 2620 ms |
| Last checked (UTC) | 2026-10-15T02:15:45.132Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T02:15:45.132Z | Healthy | 2620 |
tool_zar_prices | POST /tools/zar-prices/run — Returns live bid/ask/last prices for crypto/ZAR pairs. Input: {pair: 'BTC/ZAR'|'ETH/ZAR'|'SOL/ZAR'|'USDC/ZAR'|'all'}. Output: array of {exchange, pair, price, bid, ask, timestamp} objects. Sources: VALR (all 4 pairs), Luno (BTC/ZAR + ETH/ZAR only). SOL/ZAR and USDC/ZAR a |
tool_data_transformer | POST /tools/tool_data_transformer/run — Extracts structured JSON from raw text using a caller-supplied JSON Schema. Input: {raw_text: string, target_json_schema: object (JSON Schema draft-07)}. Output: {success, extracted_data, extraction_method, validation_passed, error}. extraction_method is one o |
tool_compute_sandbox | POST /tools/tool_compute_sandbox/run — Executes Python 3.12 code in an isolated subprocess with a 5-second hard timeout. Input: {python_code: string, input_data: any (optional, bound as variable 'input_data')}. Output: {success, result, stdout (capped 50KB), execution_time_ms, error_type}. Return va |
tool_sa_airport_oracle | POST /tools/sa-airport-oracle/run — Returns live flight status from ACSA (airports.co.za). Input: {airport_code: 'JNB'|'CPT'|'DUR', flight_number: string, request_type: 'arrival'|'departure'}. Output: {success, live_status, scheduled_time, estimated_time, actual_time, gate, carousel, terminal, fligh |