MeetRox is a conversation intelligence platform that records, transcribes, and analyzes sales calls. It provides AI-powered insights, scorecards, and interaction metrics to help sales teams improve performance and close more deals.Documentation Index
Fetch the complete documentation index at: https://docs.nekt.com/llms.txt
Use this file to discover all available pages before exploring further.
Configuring MeetRox as a Source
In the Sources tab, click on the “Add source” button located on the top right of your screen. Then, select the MeetRox option from the list of connectors. Click Next and you’ll be prompted to add your access.1. Add account access
You’ll need to authorize Nekt to access your MeetRox data. The following configurations are available:- API Key: Your MeetRox API key for authentication. Contact MeetRox support or check your account settings to obtain this key.
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API URL: The base URL for the MeetRox API (e.g.
https://app.meetrox.com/api). - Start Date (optional, advanced): The earliest date from which records will be synced. If not set, all available data will be extracted.
2. Select streams
Choose which data streams you want to sync. For faster extractions, select only the streams that are relevant to your analysis. You can select entire groups of streams or pick specific ones.Tip: The stream can be found more easily by typing its name.Select the streams and click Next.
3. Configure data streams
Customize how you want your data to appear in your catalog. Select the desired layer where the data will be placed, a folder to organize it inside the layer, a name for each table (which will effectively contain the fetched data) and the type of sync.- Layer: choose between the existing layers on your catalog. This is where you will find your new extracted tables as the extraction runs successfully.
- Folder: a folder can be created inside the selected layer to group all tables being created from this new data source.
- Table name: we suggest a name, but feel free to customize it. You have the option to add a prefix to all tables at once and make this process faster!
- Sync Type: you can choose between INCREMENTAL and FULL_TABLE.
- Incremental: every time the extraction happens, we’ll get only the new data - which is good if, for example, you want to keep every record ever fetched.
- Full table: every time the extraction happens, we’ll get the current state of the data - which is good if, for example, you don’t want to have deleted data in your catalog.
4. Configure data source
Describe your data source for easy identification within your organization, not exceeding 140 characters. To define your Trigger, consider how often you want data to be extracted from this source. This decision usually depends on how frequently you need the new table data updated (every day, once a week, or only at specific times). Optionally, you can define some additional settings:- Configure Delta Log Retention and determine for how long we should store old states of this table as it gets updated. Read more about this resource here.
- Determine when to execute an Additional Full Sync. This will complement the incremental data extractions, ensuring that your data is completely synchronized with your source every once in a while.
5. Check your new source
You can view your new source on the Sources page. If needed, manually trigger the source extraction by clicking on the arrow button. Once executed, your data will appear in your Catalog.Streams and Fields
Below you’ll find all available data streams from MeetRox:Calls
Calls
Stream for retrieving call records from MeetRox, including interaction metrics, business information, and attendee details.Fields:
id- Unique call identifierworkspace_id- Workspace identifiertitle- Call titleduration- Call duration in secondstimestamp- When the call occurredinserted_at- Record creation timestampupdated_at- Record last update timestampformat- Call format (audio, video, file, or chat)public- Whether the call is publicly accessiblesource- Call sourceurl- Call URLinteraction_metrics_rep_talk_ratio- Representative talk ratiointeraction_metrics_call_exchanges- Number of call exchangesinteraction_metrics_longest_rep_monologue- Longest representative monologue durationinteraction_metrics_longest_lead_story- Longest lead story durationinteraction_metrics_silence_percentage- Percentage of silence during the callinteraction_metrics_ai_score- AI-generated scoreinteraction_metrics_score- Overall scorebusiness_info_lead_name- Lead namebusiness_info_lead_company- Lead companybusiness_info_won- Whether the deal was wonassociations- CRM associations (deals, contacts, companies, activities) as JSONagent_id- Agent identifieragent_name- Agent nameagent_email- Agent emailattendees- List of attendee emailstype_id- Call type identifiertype_name- Call type nametype_description- Call type descriptiontype_association_mode- Call type association mode