Agent Vending Factory
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) |
|---|---|
| Registry version | 0.1.3 |
| Now | 4 tools · grade B (80) · pin ts_3887056644ec36c0c3e718fef6eedfa4 · protocol 2025-06-18 |
| First / last listed | 2026-11-02 03:19 UTC / 2026-11-02 03:19 UTC |
| Grade over time | 2026-11-02: B (80), 4 tools |
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Tools: tool_zar_prices tool_data_transformer tool_compute_sandbox tool_sa_airport_oracle
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 are VALR-only. Fetches all exchanges concurrently. Timestamps are ISO-8601 UTC. Cost: $0.0050 USDC pe params: pair |
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 of: 'direct_parse', 'embedded_json', 'regex_extraction'. No LLM involved — pure parsing pipeline. Typ params: raw_text*, target_json_schema* |
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 value: assign to 'result' variable. Pre-loaded: math, json, re, statistics, itertools, functools, coll params: python_code*, input_data |
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, flight_number, airport_code, request_type, error}. Coverage: JNB (O.R. Tambo), CPT (Cape Town Int'l), DUR params: airport_code*, flight_number*, request_type* |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.