ZBS Index What actually exists in applied AI, with the source next to it

mcp server

agent-vending-factory

Pay-per-call MCP tools via x402 USDC: ZAR prices, data extraction, Python sandbox, SA flights.

Description as published by the maintainer. Source

  • version 0.1.1
  • slowing
  • data extraction

slowing — Registry entry last updated 2026-04-10. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

6 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

agent_example(question, max_tokens)
POST /agents/agent_example/run — Single-turn Claude Sonnet inference endpoint. Input: {question: string, max_tokens: integer (default 1024)}. Output: {success, answer, usage: {input_tokens, output_tokens}, error}. No tool use or agentic loop — direct model call. Use for QA, summarisation, or classification tasks. Cost: $0.0100 USDC per call. Required: question.
tool_compute_sandbox(input_data, python_code)
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, collections, decimal, datetime, random, hashlib, base64. Blocked: import, open(), eval(), exec(), os, sys, network, class definitions, dunder attributes. error_type values: syntax_error | security_error | runtime_error | timeout_error. Cost: $0.1500 USDC per call. Required: python_code.
tool_data_transformer(raw_text, target_json_schema)
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. Type coercion applied for integer/number/boolean fields. Works best with flat schemas; deeply nested structures extract less reliably via key-value pass. Cost: $0.0500 USDC per call. Required: raw_text, target_json_schema.
tool_example(text)
POST /tools/tool_example/run — Stateless text utility for testing x402 payment flows. Input: {text: string}. Output: {original, uppercase, word_count, char_count}. Cost: $0.0010 USDC per call. Required: text.
tool_sa_airport_oracle(airport_code, request_type, flight_number)
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 (King Shaka). Data window: flights within 48 hours. Call GET /tools/sa-airport-oracle/health (free) first — if structure_valid=false, do not proceed. error_type values: 'stale_data' (do not retry), 'not found' (retry after 10-15 min), network error (retry once). flight_number is case-insensitive and normalised to uppercase internally. Read-only — no booking/ticketing. Cost: $0.1200 USDC per call. Required: airport_code, flight_number, request_type.
tool_zar_prices(pair)
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 per call.

Last successful function declaration observed on . Source: https://agent-vending-factory-3srpjtr7na-ew.a.run.app/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://agent-vending-factory-3srpjtr7na-ew.a.run.app/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 0.1.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-04-10 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-04-10 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 6 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe agent-vending-factory-3srpjtr7na-ew.a.run.app
mcp endpoint status ok The server listed 6 functions when asked. as of probe agent-vending-factory-3srpjtr7na-ew.a.run.app

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Tools declared by the MCP server at https://agent-vending-factory-3srpjtr7na-ew.a.run.app/mcp — agent-vending-factory-3srpjtr7na-ew.a.run.app, observed , trust tier 1.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.