--- title: "Retrieve All-Variant Pulse Results" description: "Retrieve All-Variant Pulse Results" product: general lang: en token_estimate: 8476 --- # Retrieve All-Variant Pulse Results ## Retrieve All-Variant Pulse Results **GET** `/console/v1/experiments/{id}/all_variant_pulse_results` Full URL: `https://statsigapi.net/console/v1/experiments/{id}/all_variant_pulse_results` > For AI agents: a documentation index is available at [/llms.txt](/llms.txt). Append `.md` to any page URL for markdown, or send `Accept: text/markdown`. Retrieve All-Variant Pulse Results ## Authorizations | Name | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | STATSIG-API-KEY | string | Yes | — | apiKey (header) | ## Path parameters | Name | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | id (path) | string | Yes | — | id | ## Query parameters | Name | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | control (query) | string | Yes | — | Control group ID. The synthetic shipped group isn't supported. Constraints: min length: 1 | | date (query) | string | No | — | Results date in `YYYY-MM-DD` format. Omit or use `total` for the full experiment. | | confidence (query) | string | No | — | Confidence percentage, greater than 0 and less than 100. | | bonferroniPrimaryMetricWeight (query) | string | No | — | Fraction of alpha allocated to primary metrics, from 0 to 1. | | cuped (query) | string | No | — | Whether to apply CUPED. Allowed values: true, false | | applyBonferroniPerVariant (query) | string | No | — | Whether to apply Bonferroni correction per variant. Allowed values: true, false | | applyBonferroniPerMetric (query) | string | No | — | Whether to apply Bonferroni correction per metric. Allowed values: true, false | | applyBenjaminiHochbergPerMetric (query) | string | No | — | Whether to apply Benjamini-Hochberg correction per metric. Allowed values: true, false | | applyBenjaminiHochbergPerVariant (query) | string | No | — | Whether to apply Benjamini-Hochberg correction per variant. Allowed values: true, false | | benjaminiPrimaryMetricsOnly (query) | string | No | — | Whether to limit Benjamini-Hochberg correction to primary metrics. Allowed values: true, false | ## Response (application/json) **200** — Pulse results for every test group against the selected control. | Name | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | message | string | Yes | — | A simple string explaining the result of the operation. | | data | object | Yes | — | — | | data.ds | string | Yes | — | Date of the loaded results in `YYYY-MM-DD` format. | | data.controlGroupID | string | Yes | — | Group used as the control for every comparison. | | data.comparisons | object[] | Yes | — | Results for every non-control group except the synthetic shipped group, in experiment group order. Corrections use the full set of test groups. | | data.comparisons.primaryMetrics | object[] | Yes | — | — | | data.comparisons.primaryMetrics.metricID | string | Yes | — | — | | data.comparisons.primaryMetrics.metricName | string | Yes | — | — | | data.comparisons.primaryMetrics.directionality | string | Yes | increase | Indicates the desired change direction for the metric. Use "increase" for positive changes and "decrease" for negative changes. Allowed values: increase, decrease | | data.comparisons.primaryMetrics.error | oneOf | No | no_data | Machine-readable reason when pulse statistics are unavailable. Common values include no_data (insufficient data), echidna_unripe (not yet loaded), and setup_incomplete (misconfigured metric source). Additional string values may appear for cohort/bake windows or other load failures. Constraints: nullable, string | | data.comparisons.primaryMetrics.warnings | string[] | No | — | Human-readable warnings about metric data quality, load state, or partial pipeline failures. | | data.comparisons.primaryMetrics.absoluteChange | number | No | — | — | | data.comparisons.primaryMetrics.confidenceIntervalDelta | number | No | — | Absolute confidence interval delta | | data.comparisons.primaryMetrics.confidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.primaryMetrics.confidenceInterval.lower | number | Yes | — | — | | data.comparisons.primaryMetrics.confidenceInterval.upper | number | Yes | — | — | | data.comparisons.primaryMetrics.percentChange | number | No | — | — | | data.comparisons.primaryMetrics.sequentialTestingConfidenceIntervalDelta | number | No | — | — | | data.comparisons.primaryMetrics.sequentialTestingConfidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.primaryMetrics.sequentialTestingConfidenceInterval.lower | number | Yes | — | — | | data.comparisons.primaryMetrics.sequentialTestingConfidenceInterval.upper | number | Yes | — | — | | data.comparisons.primaryMetrics.percentConfidenceIntervalDelta | number | No | — | — | | data.comparisons.primaryMetrics.percentConfidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.primaryMetrics.percentConfidenceInterval.lower | number | Yes | — | — | | data.comparisons.primaryMetrics.percentConfidenceInterval.upper | number | Yes | — | — | | data.comparisons.primaryMetrics.percentSequentialTestingConfidenceIntervalDelta | number | No | — | — | | data.comparisons.primaryMetrics.percentSequentialTestingConfidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.primaryMetrics.percentSequentialTestingConfidenceInterval.lower | number | Yes | — | — | | data.comparisons.primaryMetrics.percentSequentialTestingConfidenceInterval.upper | number | Yes | — | — | | data.comparisons.primaryMetrics.testMean | number | No | — | — | | data.comparisons.primaryMetrics.controlMean | number | No | — | — | | data.comparisons.primaryMetrics.testStd | number | No | — | — | | data.comparisons.primaryMetrics.controlStd | number | No | — | — | | data.comparisons.primaryMetrics.testUnits | number | No | — | — | | data.comparisons.primaryMetrics.controlUnits | number | No | — | — | | data.comparisons.primaryMetrics.pValue | number | No | — | — | | data.comparisons.primaryMetrics.sequentialTestingPValue | number | No | — | Constraints: nullable | | data.comparisons.primaryMetrics.adjustedAlpha | number | No | — | — | | data.comparisons.primaryMetrics.reversePower | number | No | — | — | | data.comparisons.primaryMetrics.percentCredibleInterval | object | No | {"lower":-1.33,"upper":1.33} | Bayesian credible interval for the percent change. Only returned when results are computed with Bayesian analysis. | | data.comparisons.primaryMetrics.percentCredibleInterval.lower | number | Yes | — | — | | data.comparisons.primaryMetrics.percentCredibleInterval.upper | number | Yes | — | — | | data.comparisons.primaryMetrics.expectedLoss | number | No | — | Bayesian expected loss. Only returned when results are computed with Bayesian analysis. | | data.comparisons.primaryMetrics.chanceToBeat | number | No | — | Bayesian probability that the test beats the control. Only returned when results are computed with Bayesian analysis. | | data.comparisons.primaryMetrics.sequentialTestingLikelihoodRatio | number | No | — | SPRT likelihood ratio of the observed data under the alternative vs the null. This is the same value Pulse uses. | | data.comparisons.primaryMetrics.sequentialTestingLogLikelihoodRatio | number | No | — | Natural log of the SPRT likelihood ratio Pulse uses. Compare this to `sprtLogLowerLimit` and `sprtLogUpperLimit`. | | data.comparisons.primaryMetrics.sprtLowerLimit | number | No | — | Lower SPRT decision boundary on the likelihood-ratio scale. Crossing below this accepts the null. | | data.comparisons.primaryMetrics.sprtUpperLimit | number | No | — | Upper SPRT decision boundary on the likelihood-ratio scale. Crossing above this accepts the alternative. | | data.comparisons.primaryMetrics.sprtLogLowerLimit | number | No | — | Lower SPRT decision boundary on the log-likelihood-ratio scale. Crossing below this accepts the null. | | data.comparisons.primaryMetrics.sprtLogUpperLimit | number | No | — | Upper SPRT decision boundary on the log-likelihood-ratio scale. Crossing above this accepts the alternative. | | data.comparisons.primaryMetrics.sprtDecision | string | No | — | SPRT decision from the log likelihood ratio. `alternative` accepts H1, `null` accepts H0, and `continue` means the ratio is still between the boundaries. Allowed values: alternative, null, continue | | data.comparisons.primaryMetrics.isSprtSignificant | boolean | No | — | True when the SPRT decision is `alternative`, meaning the result is statistically significant. | | data.comparisons.primaryMetrics.sprtStatsigness | string | No | — | Direction of the SPRT decision relative to the metric's desired direction. `neutral` when the test has not accepted the alternative. Allowed values: positive, negative, neutral | | data.comparisons.primaryMetrics.absoluteToplineImpact | number | No | — | — | | data.comparisons.primaryMetrics.absoluteToplineImpactDelta | number | No | — | — | | data.comparisons.primaryMetrics.relativeToplineImpact | number | No | — | — | | data.comparisons.primaryMetrics.relativeToplineImpactDelta | number | No | — | — | | data.comparisons.primaryMetrics.projectedAbsoluteToplineImpact | number | No | — | — | | data.comparisons.primaryMetrics.projectedAbsoluteToplineImpactDelta | number | No | — | — | | data.comparisons.primaryMetrics.projectedRelativeToplineImpact | number | No | — | — | | data.comparisons.primaryMetrics.projectedRelativeToplineImpactDelta | number | No | — | — | | data.comparisons.secondaryMetrics | object[] | Yes | — | — | | data.comparisons.secondaryMetrics.metricID | string | Yes | — | — | | data.comparisons.secondaryMetrics.metricName | string | Yes | — | — | | data.comparisons.secondaryMetrics.directionality | string | Yes | increase | Indicates the desired change direction for the metric. Use "increase" for positive changes and "decrease" for negative changes. Allowed values: increase, decrease | | data.comparisons.secondaryMetrics.error | oneOf | No | no_data | Machine-readable reason when pulse statistics are unavailable. Common values include no_data (insufficient data), echidna_unripe (not yet loaded), and setup_incomplete (misconfigured metric source). Additional string values may appear for cohort/bake windows or other load failures. Constraints: nullable, string | | data.comparisons.secondaryMetrics.warnings | string[] | No | — | Human-readable warnings about metric data quality, load state, or partial pipeline failures. | | data.comparisons.secondaryMetrics.absoluteChange | number | No | — | — | | data.comparisons.secondaryMetrics.confidenceIntervalDelta | number | No | — | Absolute confidence interval delta | | data.comparisons.secondaryMetrics.confidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.secondaryMetrics.confidenceInterval.lower | number | Yes | — | — | | data.comparisons.secondaryMetrics.confidenceInterval.upper | number | Yes | — | — | | data.comparisons.secondaryMetrics.percentChange | number | No | — | — | | data.comparisons.secondaryMetrics.sequentialTestingConfidenceIntervalDelta | number | No | — | — | | data.comparisons.secondaryMetrics.sequentialTestingConfidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.secondaryMetrics.sequentialTestingConfidenceInterval.lower | number | Yes | — | — | | data.comparisons.secondaryMetrics.sequentialTestingConfidenceInterval.upper | number | Yes | — | — | | data.comparisons.secondaryMetrics.percentConfidenceIntervalDelta | number | No | — | — | | data.comparisons.secondaryMetrics.percentConfidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.secondaryMetrics.percentConfidenceInterval.lower | number | Yes | — | — | | data.comparisons.secondaryMetrics.percentConfidenceInterval.upper | number | Yes | — | — | | data.comparisons.secondaryMetrics.percentSequentialTestingConfidenceIntervalDelta | number | No | — | — | | data.comparisons.secondaryMetrics.percentSequentialTestingConfidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.secondaryMetrics.percentSequentialTestingConfidenceInterval.lower | number | Yes | — | — | | data.comparisons.secondaryMetrics.percentSequentialTestingConfidenceInterval.upper | number | Yes | — | — | | data.comparisons.secondaryMetrics.testMean | number | No | — | — | | data.comparisons.secondaryMetrics.controlMean | number | No | — | — | | data.comparisons.secondaryMetrics.testStd | number | No | — | — | | data.comparisons.secondaryMetrics.controlStd | number | No | — | — | | data.comparisons.secondaryMetrics.testUnits | number | No | — | — | | data.comparisons.secondaryMetrics.controlUnits | number | No | — | — | | data.comparisons.secondaryMetrics.pValue | number | No | — | — | | data.comparisons.secondaryMetrics.sequentialTestingPValue | number | No | — | Constraints: nullable | | data.comparisons.secondaryMetrics.adjustedAlpha | number | No | — | — | | data.comparisons.secondaryMetrics.reversePower | number | No | — | — | | data.comparisons.secondaryMetrics.percentCredibleInterval | object | No | {"lower":-1.33,"upper":1.33} | Bayesian credible interval for the percent change. Only returned when results are computed with Bayesian analysis. | | data.comparisons.secondaryMetrics.percentCredibleInterval.lower | number | Yes | — | — | | data.comparisons.secondaryMetrics.percentCredibleInterval.upper | number | Yes | — | — | | data.comparisons.secondaryMetrics.expectedLoss | number | No | — | Bayesian expected loss. Only returned when results are computed with Bayesian analysis. | | data.comparisons.secondaryMetrics.chanceToBeat | number | No | — | Bayesian probability that the test beats the control. Only returned when results are computed with Bayesian analysis. | | data.comparisons.secondaryMetrics.sequentialTestingLikelihoodRatio | number | No | — | SPRT likelihood ratio of the observed data under the alternative vs the null. This is the same value Pulse uses. | | data.comparisons.secondaryMetrics.sequentialTestingLogLikelihoodRatio | number | No | — | Natural log of the SPRT likelihood ratio Pulse uses. Compare this to `sprtLogLowerLimit` and `sprtLogUpperLimit`. | | data.comparisons.secondaryMetrics.sprtLowerLimit | number | No | — | Lower SPRT decision boundary on the likelihood-ratio scale. Crossing below this accepts the null. | | data.comparisons.secondaryMetrics.sprtUpperLimit | number | No | — | Upper SPRT decision boundary on the likelihood-ratio scale. Crossing above this accepts the alternative. | | data.comparisons.secondaryMetrics.sprtLogLowerLimit | number | No | — | Lower SPRT decision boundary on the log-likelihood-ratio scale. Crossing below this accepts the null. | | data.comparisons.secondaryMetrics.sprtLogUpperLimit | number | No | — | Upper SPRT decision boundary on the log-likelihood-ratio scale. Crossing above this accepts the alternative. | | data.comparisons.secondaryMetrics.sprtDecision | string | No | — | SPRT decision from the log likelihood ratio. `alternative` accepts H1, `null` accepts H0, and `continue` means the ratio is still between the boundaries. Allowed values: alternative, null, continue | | data.comparisons.secondaryMetrics.isSprtSignificant | boolean | No | — | True when the SPRT decision is `alternative`, meaning the result is statistically significant. | | data.comparisons.secondaryMetrics.sprtStatsigness | string | No | — | Direction of the SPRT decision relative to the metric's desired direction. `neutral` when the test has not accepted the alternative. Allowed values: positive, negative, neutral | | data.comparisons.secondaryMetrics.absoluteToplineImpact | number | No | — | — | | data.comparisons.secondaryMetrics.absoluteToplineImpactDelta | number | No | — | — | | data.comparisons.secondaryMetrics.relativeToplineImpact | number | No | — | — | | data.comparisons.secondaryMetrics.relativeToplineImpactDelta | number | No | — | — | | data.comparisons.secondaryMetrics.projectedAbsoluteToplineImpact | number | No | — | — | | data.comparisons.secondaryMetrics.projectedAbsoluteToplineImpactDelta | number | No | — | — | | data.comparisons.secondaryMetrics.projectedRelativeToplineImpact | number | No | — | — | | data.comparisons.secondaryMetrics.projectedRelativeToplineImpactDelta | number | No | — | — | | data.comparisons.otherMetrics | object[] | No | — | — | | data.comparisons.otherMetrics.metricID | string | Yes | — | — | | data.comparisons.otherMetrics.metricName | string | Yes | — | — | | data.comparisons.otherMetrics.directionality | string | Yes | increase | Indicates the desired change direction for the metric. Use "increase" for positive changes and "decrease" for negative changes. Allowed values: increase, decrease | | data.comparisons.otherMetrics.error | oneOf | No | no_data | Machine-readable reason when pulse statistics are unavailable. Common values include no_data (insufficient data), echidna_unripe (not yet loaded), and setup_incomplete (misconfigured metric source). Additional string values may appear for cohort/bake windows or other load failures. Constraints: nullable, string | | data.comparisons.otherMetrics.warnings | string[] | No | — | Human-readable warnings about metric data quality, load state, or partial pipeline failures. | | data.comparisons.otherMetrics.absoluteChange | number | No | — | — | | data.comparisons.otherMetrics.confidenceIntervalDelta | number | No | — | Absolute confidence interval delta | | data.comparisons.otherMetrics.confidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.otherMetrics.confidenceInterval.lower | number | Yes | — | — | | data.comparisons.otherMetrics.confidenceInterval.upper | number | Yes | — | — | | data.comparisons.otherMetrics.percentChange | number | No | — | — | | data.comparisons.otherMetrics.sequentialTestingConfidenceIntervalDelta | number | No | — | — | | data.comparisons.otherMetrics.sequentialTestingConfidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.otherMetrics.sequentialTestingConfidenceInterval.lower | number | Yes | — | — | | data.comparisons.otherMetrics.sequentialTestingConfidenceInterval.upper | number | Yes | — | — | | data.comparisons.otherMetrics.percentConfidenceIntervalDelta | number | No | — | — | | data.comparisons.otherMetrics.percentConfidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.otherMetrics.percentConfidenceInterval.lower | number | Yes | — | — | | data.comparisons.otherMetrics.percentConfidenceInterval.upper | number | Yes | — | — | | data.comparisons.otherMetrics.percentSequentialTestingConfidenceIntervalDelta | number | No | — | — | | data.comparisons.otherMetrics.percentSequentialTestingConfidenceInterval | object | No | {"lower":-1.33,"upper":1.33} | Confidence interval bounds | | data.comparisons.otherMetrics.percentSequentialTestingConfidenceInterval.lower | number | Yes | — | — | | data.comparisons.otherMetrics.percentSequentialTestingConfidenceInterval.upper | number | Yes | — | — | | data.comparisons.otherMetrics.testMean | number | No | — | — | | data.comparisons.otherMetrics.controlMean | number | No | — | — | | data.comparisons.otherMetrics.testStd | number | No | — | — | | data.comparisons.otherMetrics.controlStd | number | No | — | — | | data.comparisons.otherMetrics.testUnits | number | No | — | — | | data.comparisons.otherMetrics.controlUnits | number | No | — | — | | data.comparisons.otherMetrics.pValue | number | No | — | — | | data.comparisons.otherMetrics.sequentialTestingPValue | number | No | — | Constraints: nullable | | data.comparisons.otherMetrics.adjustedAlpha | number | No | — | — | | data.comparisons.otherMetrics.reversePower | number | No | — | — | | data.comparisons.otherMetrics.percentCredibleInterval | object | No | {"lower":-1.33,"upper":1.33} | Bayesian credible interval for the percent change. Only returned when results are computed with Bayesian analysis. | | data.comparisons.otherMetrics.percentCredibleInterval.lower | number | Yes | — | — | | data.comparisons.otherMetrics.percentCredibleInterval.upper | number | Yes | — | — | | data.comparisons.otherMetrics.expectedLoss | number | No | — | Bayesian expected loss. Only returned when results are computed with Bayesian analysis. | | data.comparisons.otherMetrics.chanceToBeat | number | No | — | Bayesian probability that the test beats the control. Only returned when results are computed with Bayesian analysis. | | data.comparisons.otherMetrics.sequentialTestingLikelihoodRatio | number | No | — | SPRT likelihood ratio of the observed data under the alternative vs the null. This is the same value Pulse uses. | | data.comparisons.otherMetrics.sequentialTestingLogLikelihoodRatio | number | No | — | Natural log of the SPRT likelihood ratio Pulse uses. Compare this to `sprtLogLowerLimit` and `sprtLogUpperLimit`. | | data.comparisons.otherMetrics.sprtLowerLimit | number | No | — | Lower SPRT decision boundary on the likelihood-ratio scale. Crossing below this accepts the null. | | data.comparisons.otherMetrics.sprtUpperLimit | number | No | — | Upper SPRT decision boundary on the likelihood-ratio scale. Crossing above this accepts the alternative. | | data.comparisons.otherMetrics.sprtLogLowerLimit | number | No | — | Lower SPRT decision boundary on the log-likelihood-ratio scale. Crossing below this accepts the null. | | data.comparisons.otherMetrics.sprtLogUpperLimit | number | No | — | Upper SPRT decision boundary on the log-likelihood-ratio scale. Crossing above this accepts the alternative. | | data.comparisons.otherMetrics.sprtDecision | string | No | — | SPRT decision from the log likelihood ratio. `alternative` accepts H1, `null` accepts H0, and `continue` means the ratio is still between the boundaries. Allowed values: alternative, null, continue | | data.comparisons.otherMetrics.isSprtSignificant | boolean | No | — | True when the SPRT decision is `alternative`, meaning the result is statistically significant. | | data.comparisons.otherMetrics.sprtStatsigness | string | No | — | Direction of the SPRT decision relative to the metric's desired direction. `neutral` when the test has not accepted the alternative. Allowed values: positive, negative, neutral | | data.comparisons.otherMetrics.absoluteToplineImpact | number | No | — | — | | data.comparisons.otherMetrics.absoluteToplineImpactDelta | number | No | — | — | | data.comparisons.otherMetrics.relativeToplineImpact | number | No | — | — | | data.comparisons.otherMetrics.relativeToplineImpactDelta | number | No | — | — | | data.comparisons.otherMetrics.projectedAbsoluteToplineImpact | number | No | — | — | | data.comparisons.otherMetrics.projectedAbsoluteToplineImpactDelta | number | No | — | — | | data.comparisons.otherMetrics.projectedRelativeToplineImpact | number | No | — | — | | data.comparisons.otherMetrics.projectedRelativeToplineImpactDelta | number | No | — | — | | data.comparisons.testGroupID | string | Yes | — | Group compared with `controlGroupID`. | ```json { "message": "string", "data": { "ds": "string", "controlGroupID": "string", "comparisons": [ { "primaryMetrics": [ { "metricID": "string", "metricName": "string", "directionality": "increase", "error": "no_data", "warnings": [ "string" ], "absoluteChange": 0, "confidenceIntervalDelta": 0, "confidenceInterval": { "lower": -1.33, "upper": 1.33 }, "percentChange": 0, "sequentialTestingConfidenceIntervalDelta": 0, "sequentialTestingConfidenceInterval": { "lower": -1.33, "upper": 1.33 }, "percentConfidenceIntervalDelta": 0, "percentConfidenceInterval": { "lower": -1.33, "upper": 1.33 }, "percentSequentialTestingConfidenceIntervalDelta": 0, "percentSequentialTestingConfidenceInterval": { "lower": -1.33, "upper": 1.33 }, "testMean": 0, "controlMean": 0, "testStd": 0, "controlStd": 0, "testUnits": 0, "controlUnits": 0, "pValue": 0, "sequentialTestingPValue": 0, "adjustedAlpha": 0, "reversePower": 0, "percentCredibleInterval": { "lower": -1.33, "upper": 1.33 }, "expectedLoss": 0, "chanceToBeat": 0, "sequentialTestingLikelihoodRatio": 0, "sequentialTestingLogLikelihoodRatio": 0, "sprtLowerLimit": 0, "sprtUpperLimit": 0, "sprtLogLowerLimit": 0, "sprtLogUpperLimit": 0, "sprtDecision": "alternative", "isSprtSignificant": true, "sprtStatsigness": "positive", "absoluteToplineImpact": 0, "absoluteToplineImpactDelta": 0, "relativeToplineImpact": 0, "relativeToplineImpactDelta": 0, "projectedAbsoluteToplineImpact": 0, "projectedAbsoluteToplineImpactDelta": 0, "projectedRelativeToplineImpact": 0, "projectedRelativeToplineImpactDelta": 0 } ], "secondaryMetrics": [ { "metricID": "string", "metricName": "string", "directionality": "increase", "error": "no_data", "warnings": [ "string" ], "absoluteChange": 0, "confidenceIntervalDelta": 0, "confidenceInterval": { "lower": -1.33, "upper": 1.33 }, "percentChange": 0, "sequentialTestingConfidenceIntervalDelta": 0, "sequentialTestingConfidenceInterval": { "lower": -1.33, "upper": 1.33 }, "percentConfidenceIntervalDelta": 0, "percentConfidenceInterval": { "lower": -1.33, "upper": 1.33 }, "percentSequentialTestingConfidenceIntervalDelta": 0, "percentSequentialTestingConfidenceInterval": { "lower": -1.33, "upper": 1.33 }, "testMean": 0, "controlMean": 0, "testStd": 0, "controlStd": 0, "testUnits": 0, "controlUnits": 0, "pValue": 0, "sequentialTestingPValue": 0, "adjustedAlpha": 0, "reversePower": 0, "percentCredibleInterval": { "lower": -1.33, "upper": 1.33 }, "expectedLoss": 0, "chanceToBeat": 0, "sequentialTestingLikelihoodRatio": 0, "sequentialTestingLogLikelihoodRatio": 0, "sprtLowerLimit": 0, "sprtUpperLimit": 0, "sprtLogLowerLimit": 0, "sprtLogUpperLimit": 0, "sprtDecision": "alternative", "isSprtSignificant": true, "sprtStatsigness": "positive", "absoluteToplineImpact": 0, "absoluteToplineImpactDelta": 0, "relativeToplineImpact": 0, "relativeToplineImpactDelta": 0, "projectedAbsoluteToplineImpact": 0, "projectedAbsoluteToplineImpactDelta": 0, "projectedRelativeToplineImpact": 0, "projectedRelativeToplineImpactDelta": 0 } ], "otherMetrics": [ { "metricID": "string", "metricName": "string", "directionality": "increase", "error": "no_data", "warnings": [ "string" ], "absoluteChange": 0, "confidenceIntervalDelta": 0, "confidenceInterval": { "lower": -1.33, "upper": 1.33 }, "percentChange": 0, "sequentialTestingConfidenceIntervalDelta": 0, "sequentialTestingConfidenceInterval": { "lower": -1.33, "upper": 1.33 }, "percentConfidenceIntervalDelta": 0, "percentConfidenceInterval": { "lower": -1.33, "upper": 1.33 }, "percentSequentialTestingConfidenceIntervalDelta": 0, "percentSequentialTestingConfidenceInterval": { "lower": -1.33, "upper": 1.33 }, "testMean": 0, "controlMean": 0, "testStd": 0, "controlStd": 0, "testUnits": 0, "controlUnits": 0, "pValue": 0, "sequentialTestingPValue": 0, "adjustedAlpha": 0, "reversePower": 0, "percentCredibleInterval": { "lower": -1.33, "upper": 1.33 }, "expectedLoss": 0, "chanceToBeat": 0, "sequentialTestingLikelihoodRatio": 0, "sequentialTestingLogLikelihoodRatio": 0, "sprtLowerLimit": 0, "sprtUpperLimit": 0, "sprtLogLowerLimit": 0, "sprtLogUpperLimit": 0, "sprtDecision": "alternative", "isSprtSignificant": true, "sprtStatsigness": "positive", "absoluteToplineImpact": 0, "absoluteToplineImpactDelta": 0, "relativeToplineImpact": 0, "relativeToplineImpactDelta": 0, "projectedAbsoluteToplineImpact": 0, "projectedAbsoluteToplineImpactDelta": 0, "projectedRelativeToplineImpact": 0, "projectedRelativeToplineImpactDelta": 0 } ], "testGroupID": "string" } ] } } ``` **400** — Invalid request. Please check the request input and try again. | Name | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | status | integer | Yes | — | Allowed values: 400 | | message | string | Yes | — | — | ```json { "status": 400, "message": "Invalid request. Please check the request input and try again." } ``` **401** — This endpoint only accepts an active CONSOLE key, but an invalid key was sent. Key: console-xxxXXXxxxXXXxxx | Name | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | status | integer | Yes | — | Allowed values: 401 | | message | string | Yes | — | — | ```json { "status": 401, "message": "This endpoint only accepts an active CONSOLE key, but an invalid key was sent. Key: console-xxxXXXxxxXXXxxx" } ``` **404** — Not Found. The requested resource could not be found. | Name | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | status | integer | Yes | — | Allowed values: 404 | | message | string | Yes | — | — | ```json { "status": 404, "message": "Not Found. The requested resource could not be found." } ``` ## Code samples ### cURL ```bash curl -X GET "https://statsigapi.net/console/v1/experiments/{id}/all_variant_pulse_results" \ -H "Content-Type: application/json" \ -H "STATSIG-API-KEY: YOUR_API_KEY" ``` ### Python ```python import requests response = requests.get( "https://statsigapi.net/console/v1/experiments/{id}/all_variant_pulse_results", headers={ "Content-Type": "application/json", "STATSIG-API-KEY": "YOUR_API_KEY" } ) data = response.json() ``` ### JavaScript ```javascript const response = await fetch("https://statsigapi.net/console/v1/experiments/{id}/all_variant_pulse_results", { method: "GET", headers: { "Content-Type": "application/json", "STATSIG-API-KEY": "YOUR_API_KEY" } }); const data = await response.json(); ``` ### PHP ```php response = client.send(request, HttpResponse.BodyHandlers.ofString()); ``` ### Ruby ```ruby require "net/http" require "json" uri = URI("https://statsigapi.net/console/v1/experiments/{id}/all_variant_pulse_results") request = Net::HTTP::Get.new(uri) request["Content-Type"] = "application/json" request["STATSIG-API-KEY"] = "YOUR_API_KEY" response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: uri.scheme == "https") do |http| http.request(request) end ```