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API Enriched

GET API Endpoint PDF.

GET
/api/ml/data/namespaces/{namespace}/virtual_hosts/{name}/api_endpoint/pdf
curl --request GET \
  --url https://example-corp.console.ves.volterra.io/api/v1/api/production/us-east-1/namespaces/default/api/ml/data/namespaces/example/virtual_hosts/example/api_endpoint/pdf \
  --header 'Authorization: <Authorization>'

GET PDF of all metrics for a given auto discovered API endpoint for Virtual Host.

Examples of this operation.

Authorizations

Section titled “Authorizations”

Parameters

Section titled “Parameters”

Path Parameters

Section titled “Path Parameters”
namespace
required
string

Namespace Namespace of the App type for current request.

name
required
string

Virtual Host Virtual Host Name for current request.

Query Parameters

Section titled “Query Parameters”
collapsed_url
string

API endpoint for which PDFs are requested.

method
string

Method of API endpoint for which PDFs are requested.

Responses

Section titled “Responses”

200

Section titled “200”

A successful response.

Media typeapplication/json
API endpoint PDF response

Shape of response to GET PDF for a given API endpoint.

object
pdf_info
object
creation_timestamp
creation_timestamp

Creation_timestamp represents the time when this PDF was created It is represented in RFC3339 form and is in UTC.

string format: date-time
<= 1024 characters
error_rate
PDF(error rate)

List of Probability density points for PDF for error rate.

Array<object>
Probability Density Point(x,y)

Probability Density point in (PDF(x)) of the metric. X is the value of the metric, probability is the corresponding PDF(x). In the univariate case (current configuration), the value x of the metrics is a scaler. As PDFSpec is repeated (see below), the x values are linearly spaced monotonically from minimum to maximum.

object
probability
Probability

Probability of given Value of the metric that can be plotted on y-axis.

number format: float
x
Metric Value

Value of the metric that can be plotted on x-axis.

number format: float
error_rate_stat
object
pdf_95
PDF 95th Percentile

Pdf_95 represents the 95th percentile of PDF.

number format: float
pdf_mean
PDF Mean

Pdf_mean represents the mean of PDF.

number format: float
latency_no_data
PDF(response latency to first byte)

List of Probability density points for PDF for latency of response begin.

Array<object>
Probability Density Point(x,y)

Probability Density point in (PDF(x)) of the metric. X is the value of the metric, probability is the corresponding PDF(x). In the univariate case (current configuration), the value x of the metrics is a scaler. As PDFSpec is repeated (see below), the x values are linearly spaced monotonically from minimum to maximum.

object
probability
Probability

Probability of given Value of the metric that can be plotted on y-axis.

number format: float
x
Metric Value

Value of the metric that can be plotted on x-axis.

number format: float
latency_no_data_stat
object
pdf_95
PDF 95th Percentile

Pdf_95 represents the 95th percentile of PDF.

number format: float
pdf_mean
PDF Mean

Pdf_mean represents the mean of PDF.

number format: float
latency_with_data
PDF(response latency)

List of Probability density points for PDF for latency of response end.

Array<object>
Probability Density Point(x,y)

Probability Density point in (PDF(x)) of the metric. X is the value of the metric, probability is the corresponding PDF(x). In the univariate case (current configuration), the value x of the metrics is a scaler. As PDFSpec is repeated (see below), the x values are linearly spaced monotonically from minimum to maximum.

object
probability
Probability

Probability of given Value of the metric that can be plotted on y-axis.

number format: float
x
Metric Value

Value of the metric that can be plotted on x-axis.

number format: float
latency_with_data_stat
object
pdf_95
PDF 95th Percentile

Pdf_95 represents the 95th percentile of PDF.

number format: float
pdf_mean
PDF Mean

Pdf_mean represents the mean of PDF.

number format: float
request_rate
PDF(request rate)

List of Probability density points for PDF for request rate.

Array<object>
Probability Density Point(x,y)

Probability Density point in (PDF(x)) of the metric. X is the value of the metric, probability is the corresponding PDF(x). In the univariate case (current configuration), the value x of the metrics is a scaler. As PDFSpec is repeated (see below), the x values are linearly spaced monotonically from minimum to maximum.

object
probability
Probability

Probability of given Value of the metric that can be plotted on y-axis.

number format: float
x
Metric Value

Value of the metric that can be plotted on x-axis.

number format: float
request_rate_stat
object
pdf_95
PDF 95th Percentile

Pdf_95 represents the 95th percentile of PDF.

number format: float
pdf_mean
PDF Mean

Pdf_mean represents the mean of PDF.

number format: float
request_size
PDF(request_size)

List of Probability density points for PDF for request size.

Array<object>
Probability Density Point(x,y)

Probability Density point in (PDF(x)) of the metric. X is the value of the metric, probability is the corresponding PDF(x). In the univariate case (current configuration), the value x of the metrics is a scaler. As PDFSpec is repeated (see below), the x values are linearly spaced monotonically from minimum to maximum.

object
probability
Probability

Probability of given Value of the metric that can be plotted on y-axis.

number format: float
x
Metric Value

Value of the metric that can be plotted on x-axis.

number format: float
request_size_stat
object
pdf_95
PDF 95th Percentile

Pdf_95 represents the 95th percentile of PDF.

number format: float
pdf_mean
PDF Mean

Pdf_mean represents the mean of PDF.

number format: float
response_size
PDF(response_size)

List of Probability density points for PDF for response size.

Array<object>
Probability Density Point(x,y)

Probability Density point in (PDF(x)) of the metric. X is the value of the metric, probability is the corresponding PDF(x). In the univariate case (current configuration), the value x of the metrics is a scaler. As PDFSpec is repeated (see below), the x values are linearly spaced monotonically from minimum to maximum.

object
probability
Probability

Probability of given Value of the metric that can be plotted on y-axis.

number format: float
x
Metric Value

Value of the metric that can be plotted on x-axis.

number format: float
response_size_stat
object
pdf_95
PDF 95th Percentile

Pdf_95 represents the 95th percentile of PDF.

number format: float
pdf_mean
PDF Mean

Pdf_mean represents the mean of PDF.

number format: float
response_throughput
PDF(response throughput)

List of Probability density points for PDF for response throughput.

Array<object>
Probability Density Point(x,y)

Probability Density point in (PDF(x)) of the metric. X is the value of the metric, probability is the corresponding PDF(x). In the univariate case (current configuration), the value x of the metrics is a scaler. As PDFSpec is repeated (see below), the x values are linearly spaced monotonically from minimum to maximum.

object
probability
Probability

Probability of given Value of the metric that can be plotted on y-axis.

number format: float
x
Metric Value

Value of the metric that can be plotted on x-axis.

number format: float
response_throughput_stat
object
pdf_95
PDF 95th Percentile

Pdf_95 represents the 95th percentile of PDF.

number format: float
pdf_mean
PDF Mean

Pdf_mean represents the mean of PDF.

number format: float
Examplegenerated
{
  "pdf_info": {
    "creation_timestamp": "2026-04-15T12:00:00Z",
    "error_rate": [
      {
        "probability": 1,
        "x": 1
      }
    ],
    "error_rate_stat": {
      "pdf_95": 1,
      "pdf_mean": 1
    },
    "latency_no_data": [
      {
        "probability": 1,
        "x": 1
      }
    ],
    "latency_no_data_stat": {
      "pdf_95": 1,
      "pdf_mean": 1
    },
    "latency_with_data": [
      {
        "probability": 1,
        "x": 1
      }
    ],
    "latency_with_data_stat": {
      "pdf_95": 1,
      "pdf_mean": 1
    },
    "request_rate": [
      {
        "probability": 1,
        "x": 1
      }
    ],
    "request_rate_stat": {
      "pdf_95": 1,
      "pdf_mean": 1
    },
    "request_size": [
      {
        "probability": 1,
        "x": 1
      }
    ],
    "request_size_stat": {
      "pdf_95": 1,
      "pdf_mean": 1
    },
    "response_size": [
      {
        "probability": 1,
        "x": 1
      }
    ],
    "response_size_stat": {
      "pdf_95": 1,
      "pdf_mean": 1
    },
    "response_throughput": [
      {
        "probability": 1,
        "x": 1
      }
    ],
    "response_throughput_stat": {
      "pdf_95": 1,
      "pdf_mean": 1
    }
  }
}

401

Section titled “401”

Returned when operation is not authorized.

Media typeapplication/json
string format: string
Examplegenerated
example

403

Section titled “403”

Returned when there is no permission to access resource.

Media typeapplication/json
string format: string
Examplegenerated
example

404

Section titled “404”

Returned when resource is not found.

Media typeapplication/json
string format: string
Examplegenerated
example

409

Section titled “409”

Returned when operation on resource is conflicting with current value.

Media typeapplication/json
string format: string
Examplegenerated
example

429

Section titled “429”

Returned when operation has been rejected as it is happening too frequently.

Media typeapplication/json
string format: string
Examplegenerated
example

500

Section titled “500”

Returned when server encountered an error in processing API.

Media typeapplication/json
string format: string
Examplegenerated
example

503

Section titled “503”

Returned when service is unavailable temporarily.

Media typeapplication/json
string format: string
Examplegenerated
example

504

Section titled “504”

Returned when server timed out processing request.

Media typeapplication/json
string format: string
Examplegenerated
example