Question 1

What is native_id in MetricDuck API responses?

Accepted Answer

The native_id is a unique identifier that links each data point directly to its source in SEC EDGAR filings. This enables full audit trails - you can click from any metric in our API response to the exact line in the original 10-K or 10-Q filing where that number was reported.

Question 2

How many companies does your API cover?

Accepted Answer

Our API covers 5,700+ US public companies with 7+ years of historical data, totaling over 100 million XBRL facts extracted directly from SEC EDGAR filings. We cover all major exchanges including NYSE, NASDAQ, and AMEX.

Question 3

What makes MetricDuck different from Bloomberg or FactSet APIs?

Accepted Answer

MetricDuck provides native_id for full source traceability at a fraction of the cost. While Bloomberg and FactSet cost $2,000+ per month, MetricDuck starts at $99/month. We focus on raw XBRL facts with audit trails, 211 pre-computed metrics, and the ability to add custom metrics - all with transparent pricing and no vendor lock-in.

Question 4

Can I add custom metrics to the 211 base metrics?

Accepted Answer

Yes. Our Enterprise API gives you access to raw XBRL facts, allowing you to build proprietary calculations on top of our 211 pre-computed metrics. You can define custom formulas, extend with alternative data sources, and maintain full control over your metrics while leveraging our data foundation.

Question 5

What is your API uptime SLA?

Accepted Answer

We guarantee 99.9% uptime SLA for Enterprise customers with 24/7 technical support, a dedicated account manager, and priority incident response. Our infrastructure is built on AWS with redundancy and automatic failover to ensure your data pipeline never stops.

Enterprise API Documentation

Sync API

Structured Filing API