What is Claude Tool Use?
Anthropic's Claude API with tool use for building AI assistants that can call external APIs and functions.
Searching Walmart with Claude Tool Use
This integration lets your Claude Tool Use agent search Walmart in real time via the Scavio API. The agent gets back structured JSON with product listings, prices, ratings, review counts -- ready for reasoning and decision-making.
Setup
Bash
pip install anthropic requestsCode Example
Here is a complete Claude Tool Use agent that searches Walmart using Scavio:
Python
import anthropic
import json
import os
import requests
# Product detail is a separate call: POST /api/v1/walmart/product with product_id (the id field below).
client = anthropic.Anthropic()
def scavio_search(query: str) -> str:
"""Query Walmart through the Scavio API (POST /api/v1/walmart/search)."""
response = requests.post(
"https://api.scavio.dev/api/v1/walmart/search",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
tools = [{
"name": "scavio_search",
"description": "Query Walmart for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}]
response = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=4096,
tools=tools,
messages=[{"role": "user", "content": "standing desk"}],
)
for block in response.content:
if block.type == "tool_use":
print(scavio_search(block.input["query"])[:500])
elif block.type == "text":
print(block.text)Full Working Example
A production-ready example with error handling:
Python
import anthropic
import json
import os
import requests
# Product detail is a separate call: POST /api/v1/walmart/product with product_id (the id field below).
client = anthropic.Anthropic()
def scavio_search(query: str) -> str:
"""Query Walmart through the Scavio API (POST /api/v1/walmart/search)."""
response = requests.post(
"https://api.scavio.dev/api/v1/walmart/search",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
tools = [{
"name": "scavio_search",
"description": "Query Walmart for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}]
messages = [{"role": "user", "content": "standing desk"}]
response = client.messages.create(
model="claude-sonnet-4-5", max_tokens=4096, tools=tools, messages=messages
)
if response.stop_reason == "tool_use":
messages.append({"role": "assistant", "content": response.content})
tool_results = []
for block in response.content:
if block.type == "tool_use":
result = scavio_search(block.input["query"])
tool_results.append(
{"type": "tool_result", "tool_use_id": block.id, "content": result}
)
messages.append({"role": "user", "content": tool_results})
final = client.messages.create(
model="claude-sonnet-4-5", max_tokens=4096, tools=tools, messages=messages
)
print(final.content[0].text)Pricing
Scavio offers a free tier with 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your Claude Tool Use integration. Paid plans start at $30/month for higher volumes.