{"title":"Normality Test","outputs":{"statistics":{"type":"table","title":"Statistics of Percent Fat","rows":[{"Column":"Percent Fat","N":10,"Mean":17.34,"Std Dev":0.5699902533,"Method":"AD","Statistic":0.2184933607,"P-Value":0.7773704367,"Result":"Data is normally distributed."}]},"table_interpretation":{"type":"table","title":"Interpretation of Percent Fat","rows":[{"Case":"Anderson-Darling Test","Method Description":"The Anderson-Darling test is more effective at detecting non-normality in the tails of the distribution. It is particularly good at detecting deviations from normality in the tail regions of the distribution.","Interpretation":"p-value > 0.05(significance level): Fail to reject null hypothesis -> Data appears to follow a normal distribution","Summary":"p-value = 0.78 is greater than the significance level 0.05. The data can be interpreted as normally distributed."}]}}}
curl --location --request POST 'https://zylalabs.com/api/13195/statistical+quality+analytics+api/26905/normality+test' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{"data":[{"Percent Fat":16.9},{"Percent Fat":18.0},{"Percent Fat":17.2},{"Percent Fat":17.9},{"Percent Fat":16.4},{"Percent Fat":17.5},{"Percent Fat":18.1},{"Percent Fat":16.8},{"Percent Fat":17.0},{"Percent Fat":17.6}],"config":{"var_column":"Percent Fat","alpha":0.05,"method_of_analysis":"AD"}}'
{"title":"Descriptive Statistics: value","outputs":{"descriptive_statistics_table":{"type":"table","title":"Statistics","rows":[{"variable":"value","n_total":5,"mean":10.0,"std_dev":0.158113883,"min":9.8,"median":10.0,"max":10.2}]}}}
curl --location --request POST 'https://zylalabs.com/api/13195/statistical+quality+analytics+api/26906/descriptive+statistics' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{"data":[{"value":9.8},{"value":10.2},{"value":9.9},{"value":10.1},{"value":10.0}],"config":{"variables":["value"],"confidence_level":0.95,"statistics_options":["n_total","mean","std_dev","min","median","max"],"graph_options":[]}}'
{"title":"Correlation","outputs":{"method_table":{"type":"table","title":"Method_table","rows":[{"method":"correlation_type","value":"pearson"},{"method":"number_of_rows_used","value":5}]},"pairwise_correlation_table":{"type":"table","title":"Pairwise pearson Correlation_table","rows":[{"sample_1":"x","sample_2":"y","n":5,"correlation":0.9986517556,"p_value":0.0000594154,"ci_low":0.9786605332,"ci_high":0.9999156156}]}}}
curl --location --request POST 'https://zylalabs.com/api/13195/statistical+quality+analytics+api/26907/correlation' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{"data":[{"x":1,"y":2.1},{"x":2,"y":3.9},{"x":3,"y":6.2},{"x":4,"y":7.8},{"x":5,"y":10.1}],"config":{"var_column":["x","y"],"confidence_level":0.95,"methods_of_analysis":"pearson","graph_opption":[]}}'
{"title":"Normal Capability Analysis","outputs":{"statistics_table":{"type":"table","title":"Process Data","rows":[{"Mean":74.006,"StDev (Overall)":0.0172378321,"N":15,"USL":74.05,"LSL":73.95,"Target":74.0,"Variable":"Diameter","StDev (Within)":0.0200630553}]},"capability_statistics":{"type":"table","title":"Capability Statistics","rows":[{"Cp":0.8307142857,"Cpl":0.9304,"Cpu":0.7310285714,"Cpk":0.7310285714,"Pp":0.9668655852,"Ppl":1.0828894554,"Ppu":0.850841715,"Ppk":0.850841715,"Cpm":0.7958862146}]},"capability_ppm":{"type":"table","title":"Capability PPM","rows":[{"Type":"PPM Below LSL","Observed":0.0,"Exp. Overall":579.7328456759,"Exp. Within":2625.6506421635},{"Type":"PPM Above USL","Observed":0.0,"Exp. Overall":5347.2594868867,"Exp. Within":14150.6020432928},{"Type":"PPM Total","Observed":0.0,"Exp. Overall":5926.9923325626,"Exp. Within":16776.2526854563}]}}}
curl --location --request POST 'https://zylalabs.com/api/13195/statistical+quality+analytics+api/26908/normal+capability+analysis' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{"data":[{"Diameter":74.03},{"Diameter":74.0},{"Diameter":74.01},{"Diameter":74.02},{"Diameter":73.99},{"Diameter":73.98},{"Diameter":74.01},{"Diameter":74.0},{"Diameter":74.02},{"Diameter":74.03},{"Diameter":74.0},{"Diameter":73.97},{"Diameter":74.01},{"Diameter":74.02},{"Diameter":74.0}],"config":{"variable":"Diameter","subgroup_size":5,"lower_spec":73.95,"upper_spec":74.05,"target_number":74.0,"methods_of_analysis":"rbar"}}'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Statistical Quality Analytics API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
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Trusted by leading companies
Statistical Quality Analytics API brings engineering-grade statistics to any application through a simple HTTP interface. Send a table of measurement data and a small configuration object, and receive clean, structured JSON results. It is built for manufacturing, quality engineering, laboratory, and data teams who need defensible statistical results for reports, dashboards, audits, and automated pipelines.
Compute descriptive statistics (mean, standard deviation, quartiles, confidence intervals), normality tests (Anderson-Darling, Shapiro-Wilk, Kolmogorov-Smirnov), correlation (Pearson, Spearman, Kendall with confidence intervals and p-values), and process capability (Cp, Cpk, Pp, Ppk, Cpm with PPM). Every endpoint takes the same shape: a data array plus a config object, and returns labeled JSON tables. Results are numerically validated to high precision against industry-standard reference software.
Each endpoint returns structured JSON data. For example, the Normality Test endpoint provides statistics like test statistic and p-value, while the Descriptive Statistics endpoint returns summary metrics such as mean, standard deviation, and quartiles.
Key fields vary by endpoint. For Normality Test, fields include "Statistic" and "P-Value." In Descriptive Statistics, fields include "mean," "std_dev," and "min." Each endpoint's response is tailored to its specific analysis.
Response data is organized into labeled tables. Each table contains rows of relevant statistics or interpretations. For instance, the Correlation endpoint includes a "pairwise_correlation_table" with correlation values and p-values for each variable pair.
Each endpoint accepts a data array and a configuration object. For example, the Normality Test requires a numeric column and the chosen test method (Anderson-Darling, Shapiro-Wilk, or Kolmogorov-Smirnov) as parameters.
Users can customize requests by specifying the numeric columns to analyze and selecting the statistical methods in the configuration object. For instance, in the Correlation endpoint, users can choose between Pearson, Spearman, or Kendall methods.
Typical use cases include quality control in manufacturing, statistical reporting for audits, and data analysis in laboratories. Users can leverage the API for generating dashboards or automating statistical analysis pipelines.
Data accuracy is maintained through numerical validation against industry-standard reference software. This ensures that the statistical results provided by the API are reliable and defensible for quality engineering applications.
Users can expect consistent data patterns across endpoints, such as summary statistics in Descriptive Statistics and correlation coefficients in the Correlation endpoint. Results are structured to facilitate easy interpretation and integration into reports.
To obtain your API key, first sign in to your account and navigate to the API you want to use. From the API's Pricing section, choose a plan and complete the subscription process. Once subscribed, return to the API page and you will see your API Access Key displayed at the top of the documentation page. You can use this key to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
The free trial lasts for 7 days and allows you to make up to 50 API requests.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes. If the API offers a free trial, you will see a "Free 7-Day Trial" option in its Pricing section. The trial lasts for 7 days and allows up to 50 API requests, enabling you to evaluate the API before subscribing to a paid plan.
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