Real-Time Call Data API: Access Call Records Near-Instantly
Get Near-Real-Time Call Data with the Simple Telecom CDR API — Records Available in Minutes
Key Real-Time Data Features
- CDR records available within 1–2 minutes of call completion
- Query by service number and date range for targeted data
- Paginate results for efficient processing of high volumes
- Sort by start time — ascending or descending
- Build near-real-time dashboards and monitoring systems
What Is Real-Time Call Data?
Real-time call data means having access to your call records almost as soon as calls are completed. Instead of waiting for end-of-day reports or monthly statements, you can retrieve call information within minutes of each call ending. This enables a new range of capabilities — live dashboards, instant lead notifications, automated follow-ups, and proactive cost monitoring.
The Simple Telecom CDR API provides near-real-time access to call data. Records are available within 1–2 minutes of a call being fully complete and priced. This is fast enough for most business applications — lead tracking, campaign monitoring, daily reporting, and cost management.
For Australian businesses, real-time call data transforms how you manage your phone system. A lead calls at 10am; by 10:02am, the call record is available in the API. Your integration picks it up, logs it in your CRM, and triggers a follow-up workflow — all within minutes of the call ending. This speed gives you a competitive advantage in responding to customer enquiries.
How the CDR API Delivers Near-Real-Time Data
The CDR API endpoint GET /api/cdrs returns records as soon as they’re available. The system processes each call as it completes — calculating the cost, storing the record, and making it available through the API. For most calls, this entire process takes 1–2 minutes from the moment the call ends.
To build a real-time data pipeline, query the CDR API on a frequent schedule — every 5–15 minutes, depending on your needs. On each query, use the start_date and end_date parameters to focus on recent data. Compare the cdr_id values against your database of previously processed records to identify new calls. This gives you a rolling feed of near-real-time call data.
For high-volume services, use pagination with the page_size parameter (up to 100 records per page) to efficiently process large result sets. The order parameter lets you sort by start time, making it easy to find the most recent records first. The meta object in the response tells you the total number of records, so you can navigate through all pages systematically.
Building a Real-Time Lead Notification System
One of the most valuable applications of real-time call data is automated lead notifications. When a call comes in from a new number, the CDR API makes that record available within minutes. Your integration picks it up, checks if the number is a known contact, and if it’s new, creates a lead and notifies your sales team.
Here’s how it works: Your integration runs every 5 minutes, querying the CDR API for the most recent records. For each new record, check the source_number against your CRM. If it’s a new number, create a new lead with the call details — source number, timestamp, duration. If it’s an existing contact, add the call as an activity to their record. Send a notification — Slack, email, SMS — to the relevant sales representative with the lead details.
This system ensures no lead falls through the cracks. Even if the caller didn’t leave a message, your team knows they called and can follow up proactively. The speed of the CDR API — records within 1–2 minutes — means your team can follow up while the call is still fresh in the prospect’s mind.
Live Marketing Campaign Monitoring
Real-time call data is invaluable for monitoring marketing campaigns. When a campaign launches, you want to see results as they happen — not wait for monthly reports. The CDR API lets you monitor campaign performance in near-real-time, making adjustments on the fly.
For each campaign, assign a unique 1300 or 1800 number. During the campaign, query the CDR API for that number every 5–15 minutes. Track call volume compared to expectations, monitor average call duration as a proxy for lead quality, and calculate cost per call against your budget. If a campaign is underperforming, you can adjust or pause it within hours of launch. If it’s overperforming, you can increase budget allocation.
This level of responsiveness is impossible with batch reporting. Real-time call data from the CDR API gives you the same agility with phone call campaigns that digital marketers have with web analytics — measure, learn, adjust, repeat.
Real-Time Cost Monitoring and Alerts
For businesses with 1800 numbers (where you pay for every call), real-time cost monitoring is essential. The CDR API’s near-real-time data lets you track call costs as they accumulate, set up alerts for unusual patterns, and prevent bill shock.
Set up a monitoring script that queries the CDR API every 15 minutes, sums the costs for each service number, and compares against daily budgets. If costs exceed a threshold, send an alert — email, SMS, or Slack notification. This is particularly valuable during high-volume periods like campaign launches, sales events, or seasonal peaks.
You can also set up anomaly detection: if a particular service number suddenly receives 10x its normal call volume, investigate immediately. It could be a successful campaign, a misconfigured ad, or even fraudulent activity. Real-time data means you catch issues early, when they’re still manageable.
Best Practices for Real-Time Data Integration
When building a real-time data pipeline with the CDR API, follow these best practices. First, implement idempotent processing — use the cdr_id as a unique key to prevent duplicate processing. If your system restarts or errors out, it should be safe to reprocess records without creating duplicates in your database or CRM.
Second, design for pagination. CDR responses are paginated, and you may have hundreds of new records to process in a single query. Implement a loop that follows the pagination links until all pages are processed. Don’t assume one page captures all new records.
Third, handle rate limiting gracefully. If you’re querying frequently, monitor the X-RateLimit-Remaining header and implement backoff if you’re approaching the limit. Consider staggering your queries — query every 5 minutes for high-priority services, every 15 minutes for lower-priority ones.
Frequently Asked Questions
Frequently Asked Questions About Real-Time Call Data
How fast is ‘near-real-time’ for CDR records?
Records typically appear within 1–2 minutes of a call completing and being priced. This is fast enough for most business applications like lead tracking, campaign monitoring, and cost management.
Can I get notified immediately when a call comes in?
The CDR API provides data after the call completes. For immediate notification while a call is in progress, you may need additional infrastructure. However, the 1–2 minute delay is sufficient for most follow-up and analytics workflows.
How often should I query the API for real-time data?
Querying every 5–15 minutes is a good balance between timeliness and API usage. For high-priority services, you can query more frequently; for lower-priority ones, less frequently.
Can I query the API for calls from the last hour only?
Yes. Use the start_date and end_date parameters to narrow your query to a specific time window. This is efficient for real-time queries where you only need the most recent data.
Do I need special infrastructure for real-time data?
No. A simple scheduled script (cron job, cloud function, or scheduled task) that queries the CDR API and processes new records is sufficient for most real-time applications.
Real-time call data gives you instant insights into customer interactions, helping you optimise your business communications strategy. When combined with our Heat Call Tracking System, you can monitor call performance and identify trends as they happen. Best of all, accessing these powerful analytics doesn’t require a hefty investment—our virtual phone solutions are affordable, with transparent 1300 number costs in Australia starting from just $10 per month, making professional call tracking accessible for businesses of any size.
