We’re always focused on providing tools that help investors and financial professionals access critical information efficiently. Recently, we introduced our Live Conference Call Transcript API, a new product aimed at improving the way earnings information is consumed.

This API allows users to access real-time transcripts of live conference calls, removing the need to wait for post-call summaries or manually go through audio recordings. For investors, analysts, and media outlets, this means having timely, accurate information available as it happens.

Not only are these calls be available in realtime, but there is also a post processed version of the call with a summary, and topic tagging. Users can read about certain topics that are relevant for a certain quarter, across many different companies.

These calls will come in Websocket text chunks as soon as the sentence is completed. Here is a sample of a single chunk:

{

    "api_version": "websocket/v1",

    "kind": "EarningsCallTranscripts/v1",

    "data": {

        "action": "",

        "content": {

            "call_id": "66d7f818a88f220001a8e9a9",

            "transcript_chunk": "Okay, thank you everybody for joining us. As I said at the beginning, I think for us this is the beginning. I'm incredibly proud of our colleagues in our organization and where this brand is operating around the world. So thank you for your time. Thank you for listening and we'll talk to you next time.",

            "security": {

                "ticker": "KFY",

                "exchange": "NYS",

                "company_name": "Korn Ferry",

                "cik": "56679",

                "isin": "US5006432000"

            },

            "time": 2085.55,

            "index": 173

        },

        "type": "transcript_chunk"

    }

}

{

    "api_version": "websocket/v1",

    "kind": "EarningsCallTranscripts/v1",

    "data": {

        "action": "",

        "content": {

            "call_id": "66d7f818a88f220001a8e9a9",

            "transcript_chunk": "Okay, thank you everybody for joining us. As I said at the beginning, I think for us this is the beginning. I'm incredibly proud of our colleagues in our organization and where this brand is operating around the world. So thank you for your time. Thank you for listening and we'll talk to you next time.",

            "security": {

                "ticker": "KFY",

                "exchange": "NYS",

                "company_name": "Korn Ferry",

                "cik": "56679",

                "isin": "US5006432000"

            },

            "time": 2085.55,

            "index": 173

        },

        "type": "transcript_chunk"

    }

}

{

    "api_version": "websocket/v1",

    "kind": "EarningsCallTranscripts/v1",

    "data": {

        "action": "",

        "content": {

            "call_id": "66d7f818a88f220001a8e9a9",

            "transcript_chunk": "Okay, thank you everybody for joining us. As I said at the beginning, I think for us this is the beginning. I'm incredibly proud of our colleagues in our organization and where this brand is operating around the world. So thank you for your time. Thank you for listening and we'll talk to you next time.",

            "security": {

                "ticker": "KFY",

                "exchange": "NYS",

                "company_name": "Korn Ferry",

                "cik": "56679",

                "isin": "US5006432000"

            },

            "time": 2085.55,

            "index": 173

        },

        "type": "transcript_chunk"

    }

}

{

    "api_version": "websocket/v1",

    "kind": "EarningsCallTranscripts/v1",

    "data": {

        "action": "",

        "content": {

            "call_id": "66d7f818a88f220001a8e9a9",

            "transcript_chunk": "Okay, thank you everybody for joining us. As I said at the beginning, I think for us this is the beginning. I'm incredibly proud of our colleagues in our organization and where this brand is operating around the world. So thank you for your time. Thank you for listening and we'll talk to you next time.",

            "security": {

                "ticker": "KFY",

                "exchange": "NYS",

                "company_name": "Korn Ferry",

                "cik": "56679",

                "isin": "US5006432000"

            },

            "time": 2085.55,

            "index": 173

        },

        "type": "transcript_chunk"

    }

}

By integrating this API / Websocket into your workflow, you can follow earnings calls in real time, analyze data more quickly, and make decisions based on the most up-to-date information. The API is designed to streamline the process, making it easier to track multiple earnings calls simultaneously.

Our goal with this product is to enhance accessibility to earnings data, providing a reliable tool that can be used across various platforms. We believe this will help professionals stay informed and act quickly, especially during busy earnings seasons.

HERE is a recent sample of a full post processed call. Please reach out if you have any questions: [email protected].

Photoronics-Q3-2024 Download