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Scoring Service API
Assigns an ability estimate to an assessment-taker in the form of a Lexile Reading, El Sistema Reading, or Quantile measure.
About Scoring Service REST API
High Availability
High Availability (HA) of MetaMetrics® Services.

APIs
- Scoring Service API
  Assigns an ability estimate to an assessment-taker in the form of a Lexile Reading, El Sistema Reading, or Quantile measure.
  - About Scoring Service REST API
    - Service Level Agreement for Scoring Service API
    - High Availability
      High Availability (HA) of MetaMetrics® Services.
    - Bayesian Scoring Theoretical Foundations
      Everyone has heard the maxim “the best predictor of future behavior is past behavior.” Bayesian Scoring is a statistical approach for predicting a student’s test score by incorporating both the student’s prior test scores and the uncertainty associated with all measures into an adjustment to the current score. The more confident we are about the prior information, the smaller is the standard deviation of the prior information (Yen and Fitzpatrick, 2006). The result is that the adjusted score is a more accurate measure of the student’s “true” ability level. The MetaMetrics Scoring Service API is a scoring technology that updates student ability measures – Lexile or Quantile measures. Calculations are made by incorporating historical student performance data and current test experiences to estimate new, more refined ability estimates.
    - Reporting Scoring Service Measures
      The Scoring Service API uses the Lexile® and Quantile® frameworks to calculate student measures (called ability in the API response).
    - Scoring Service Response Codes
    - Scoring Service REST API FAQ
      The process of scoring student assessments and reporting results has evolved greatly over the years. From teachers sitting with paper-based answer sheets to bubble-sheets fed through a machine that produces a percent correct, technology has helped to enhance the process of scoring tests. While percent correct on an assessment can be valuable, many assessments benefit from reporting an estimate of the underlying student ability in an educational construct. These ability estimates provide indicators of status and can be used to monitor growth over time.
  - API Calls
  - Service Level Agreement for Scoring Service API
- Lexile Text Analyzer API
  Analyzes text to produce Lexile text measures on custom content.
- Titles API
  Access more than 470,000 hardcover, e-books, paperback, trade and other titles.
- Forecasting API
  Forecast an individual student or group performance on an upcoming assessment.
- Growth Planner API
  Plot a student's projected growth using Lexile or Quantile measures.
- Oral Reading API
  Measures a student's oral reading ability and the oral readability of text on the same scale.
- PowerV API
  Create and access vocabulary lists for over thousands of titles with the Titles Database.
- Career Database API
  Identify a career’s reading and math demands in Lexile and Quantile metrics for goal setting and career preparedness.

High Availability

High Availability (HA) of MetaMetrics® Services.

HIGH AVAILABILITY PERFORMANCE COMMITMENTS

A. Each licensable API Service has an accompanying Service Level Agreement (SLA).

B. Some API Services and associated SLAs come with built-in high availability and redundancy endpoints which can be independently verified by customers in order to meet compliance standards.

C. HA commitments are service-specific and do not exceed SLA commitments. The purpose of HA is to ensure that we can deliver on our SLA commitments even when AWS suffers a regional outage.

D. HA and redundancy endpoints are periodically updated in this document. The regions in use are subject to change at any time.

HIGH AVAILABILITY ARCHITECTURE

MetaMetrics has implemented High Availability API services in AWS by using Route 53, latency-based routing, multiple AWS regions, per region API gateways, service health checking, and serverless Lambdas.

Customer requests sent to a global service endpoint are checked by Amazon’s Route 53 service, which uses latency-based routing to determine the best AWS region to process the customer request. The request is then directed to the API Gateway in the optimal region. There, API gateway and Lambda are used to create and manage the appropriate number of serverless instances to keep up with the current workload in that region.

HIGH AVAILABILITY TESTING

Normally, customers configure their API client to point to our global endpoints. Customers may also temporarily test HA availability in each of the HA-capable API services to which they are subscribed. To do so, simply replace the global endpoint in your API client configuration with a regional endpoint. This will force traffic to the specified region. Once testing is complete, restore your API client configuration to use the global endpoint.

SCORING SERVICE

https://scoring-global.lexile.com
https://scoring-global-asia.lexile.com
https://scoring-global-west.lexile.com
https://scoring-global-east.lexile.com