Research and Rank Web Data

Add the FutureSearch connector if you haven't already. Then upload a CSV of 30 Texas cities and ask Claude:

Research and rank these 30 Texas cities by residential building permit processing time in business days. Look up each city's actual permit processing data.

Results take about 2.5 minutes.

Go to futuresearch.ai/app, upload a CSV of 30 Texas cities, and enter:

Research and rank these 30 Texas cities by residential building permit processing time in business days. Look up each city's actual permit processing data.

The FutureSearch SDK's rank() dispatches web research agents to find data that isn't available through any structured API. Each agent visits official city websites to find permit processing timelines.

pip install futuresearch
export FUTURESEARCH_API_KEY=your_key_here  # Get one at futuresearch.ai/app/api-key

import asyncio
import pandas as pd
from futuresearch import create_session
from futuresearch.ops import rank

texas_cities_df = pd.read_csv("texas_cities.csv")

async def main():
    async with create_session(name="Texas Permit Times Research") as session:
        result = await rank(
            session=session,
            task="""
                Research the residential building permit processing time for
                this Texas city. Find official data from the city's permit
                department. Return the number of business days.
            """,
            input=texas_cities_df,
            field_name="score",
        )
        return result.data

results = asyncio.run(main())