How to make your AI Agent 111x cheaper and 2.5x faster at data aggregation

"Extract the users, find those who are over 30 years old and have green eyes, and calculate the exact mathematical average of their weight."

Execution time: 38.89s

Total consumption: 72,361 tokens for a single request!

Execution time: 15.54s (2.5x faster ⚡)

Total consumption: 650 tokens (111x cheaper)

    let url = "https://mcp.neonia.io/mcp?tools=neonia_web_json_fetch,neonia_data_jq_filter";

    let neonia_key = env::var("NEONIA_API_KEY").unwrap_or_default();



    // Configure the rmcp transport

    let mut config = rmcp::transport::streamable_http_client::StreamableHttpClientTransportConfig::with_uri(url);

    config.auth_header = Some(format!("Bearer {}", neonia_key));



    let transport = rmcp::transport::StreamableHttpClientTransport::from_config(config);



    let capabilities = ClientCapabilities::default();

    let impl_info = Implementation::new("rig-agent", "0.1.0");

    let client_info = ClientInfo::new(capabilities, impl_info);



    let client = client_info.serve(transport).await?;



    // Fetch Tools

    let tools = client.list_tools(Default::default()).await?.tools;



    // Initialize Rig's Native Gemini Client

    let gemini_client = gemini::Client::from_env().expect("Failed to initialize Gemini client");



    let agent = gemini_client.agent("gemini-3.5-flash")

        .preamble(

            "You are an autonomous agent equipped with Neonia's data processing tools.\n\

            ## Usage Guidelines\n\

            1. When asked to process JSON from a URL, ALWAYS use `neonia_web_json_fetch` first. It will securely store the file and return a `resource_uri` and a TypeScript schema of the data.\n\

            2. Once you have the `resource_uri` and the schema, use `neonia_data_jq_filter` to extract exactly what you need. Pass the `resource_uri` to the `resource_uri` parameter, and formulate a mathematically precise `jq_query` based on the schema.\n\

            3. Write correct JQ queries. Example JQ for math average: `.users | map(select(.age > 30 and .eyeColor == \"Green\")) | map(.weight) | if length > 0 then add / length else 0 end`.\n\

            4. Self-Correction: If a tool returns an error, evaluate your parameters, fix them, and try again."

        )

        .default_max_turns(5)

        .rmcp_tools(tools, client.peer().to_owned())

        .build();



    let target_url = "https://dummyjson.com/users?limit=0";

    let prompt_text = format!("Fetch the JSON from {}, then find all users who are strictly older than 30 ('age' > 30) AND whose 'eyeColor' is exactly 'Green'. Calculate the EXACT mathematical average of their 'weight'. Return ONLY the final average number, without any explanations.", target_url);



    let response = agent.prompt(&prompt_text).await?;