Update README

Author: ludomitch

README.md

@@ -1,6 +1,6 @@
-# Data Analysis Crow: A Jupyter Notebook Agent
+# Finch: A Jupyter-Native Data Analysis Agent
 
-Data Analysis Crow is an AI agent framework designed to perform complex scientific data analysis tasks by iteratively working through Jupyter notebooks. This agent takes in datasets and prompts, then systematically explores, analyzes, and interprets the data to provide comprehensive answers and insights.
+Finch is an AI agent framework designed to perform complex scientific data analysis tasks by iteratively working through Jupyter notebooks. This agent takes in datasets and prompts, then systematically explores, analyzes, and interprets the data to provide comprehensive answers and insights.
 
 The agent was used to produce the trajectories for the [BixBench benchmark](https://github.com/Future-House/bixbench).
 
@@ -16,6 +16,7 @@ The agent was used to produce the trajectories for the [BixBench benchmark](http
 
 - [Installation](#installation)
 - [Using the Agent](#using-the-agent)
+- [FutureHouse Platform API](#futurehouse-platform-api)
 - [Advanced Usage](#advanced-usage)
 - [BixBench Benchmark](#bixbench-benchmark)
 
@@ -48,6 +49,9 @@ ANTHROPIC_API_KEY = "your-anthropic-api-key"
 
 The agent works by taking a dataset and a prompt, then iteratively building a Jupyter notebook to answer the question. Visit the [tutorial](https://github.com/Future-House/data-analysis-crow/blob/main/tutorial/example.ipynb) for a simple step-by-step guide on how to use the agent.
 
+## FutureHouse Platform API
+The easiest way to use Finch is via the [FutureHouse Platform API](https://platform.futurehouse.org). Follow the tutorial [here](https://github.com/Future-House/data-analysis-crow/blob/main/tutorial/platform_api.ipynb) to get started.
+
 ## Advanced Usage
 For advanced evaluations, you can configure `server.yaml` and `runner.yaml` in the `src/scripts/bixbench_evaluation` directory and then run the evaluation script:
 ```bash
@@ -66,9 +70,6 @@ Note that the dataset and environment configuration must be updated appropriatel
 
 We also recommend visiting the BixBench repository where we share a full evaluation harness for the agent.
 
-## Hosted Agent
-Coming soon!
-
 ## BixBench Benchmark
 
 Data Analysis Crow was used to produce the trajectories for the [BixBench benchmark](https://github.com/Future-House/bixbench), which evaluates AI agents on real-world bioinformatics tasks.