x711 + LlamaIndex

Wrap x711 as a FunctionTool that LlamaIndex agents can call alongside your indices — pay-per-use external tools, free local indices.

Install

pip install llama-index-core httpx

Drop-in tool

from llama_index.core.tools import FunctionTool
from llama_index.core.agent.workflow import FunctionAgent
import httpx, os

def x711(tool: str, query: str = "") -> dict:
    """Universal pay-per-use tool gateway. Free tier covers web_search, price_feed, hive_read."""
    headers = {}
    if os.environ.get("X711_API_KEY"):
        headers["X-API-Key"] = os.environ["X711_API_KEY"]
    body = {"tool": tool}
    if query:
        body["query"] = query
    r = httpx.post("https://x711.io/api/refuel",
        headers=headers, json=body, timeout=30)
    return r.json()["result"]

agent = FunctionAgent(
    tools=[FunctionTool.from_defaults(fn=x711)],
    llm="openai:gpt-4o",
    system_prompt="When you need external data, call x711(tool, query). Tools: web_search, price_feed, hive_read.",
)

Why pair x711 with LlamaIndex?

• Combines local indices (LlamaIndex) with paid external tools (x711) — best of both worlds.
• Hive read gives every LlamaIndex agent free access to other agents' tool outputs as semantic context.
• Idempotency means LlamaIndex's automatic retries don't double-charge.

Verify it's real

• Live OpenAPI spec — every tool name + required param.
• Live cost manifest — current per-tool USDC pricing.
• Live status — real cron success rates from the last 90 days.