Get outbound SMS statistics by error code
/v1/sms/stats/error-codesconst stats = await bird.sms.stats.byErrorCode({ from: "2026-05-01", to: "2026-05-31" });
for (const row of stats.data ?? []) {
// The same value as the error_code filter on bird.sms.list.
console.log(row.error_code, row.delivery);
}stats = client.sms.stats.by_error_code(from_="2026-05-01", to="2026-05-31")
for row in stats.data or []:
# The same value as the error_code filter on client.sms.list.
print(row.error_code, row.delivery)stats, err := client.Sms.Stats.ByErrorCode(context.Background(), bird.SmsStatsByErrorCodeParams{
From: time.Now().AddDate(0, -1, 0),
To: time.Now(),
})
if err != nil {
log.Fatal(err)
}
for _, row := range *stats.Data {
// The same value as the error_code filter on Sms.List, so a row joins to its messages.
fmt.Println(*row.ErrorCode, *row.Delivery.Failed)
}$byErrorCode = $bird->sms->stats->byErrorCode(['from' => '2026-05-01', 'to' => '2026-05-31']);
foreach ($byErrorCode->getData() ?? [] as $row) {
// The same value as the error_code filter on $bird->sms->list().
echo $row->getErrorCode(), ' ', $row->getDelivery()?->getFailed(), PHP_EOL;
}bird sms stats by-error-codecurl -X GET "https://us1.platform.bird.com/v1/sms/stats/error-codes" \
-H "Authorization: Bearer $TOKEN" \
--url-query "sort=failed" \
--url-query "limit=50" \
--url-query "include_trend=false" \
--url-query "trend_grain=daily"{
"period": {
"from": "2026-05-01",
"to": "2026-05-25",
"data_as_of": "2026-05-25T14:03:10Z"
},
"data": [
{
"error_code": "invalid_destination",
"delivery": {
"accepted": 14820,
"sent": 14810,
"delivered": 14720,
"undelivered": 60,
"failed": 25,
"rejected": 10,
"expired": 5,
"delivery_rate": 0.9932,
"failure_rate": 0.0061
},
"latency": {
"processing": {
"p50_ms": 420,
"p95_ms": 1820,
"p99_ms": 4920
},
"delivery": {
"p50_ms": 420,
"p95_ms": 1820,
"p99_ms": 4920
},
"total": {
"p50_ms": 420,
"p95_ms": 1820,
"p99_ms": 4920
}
},
"trend": [
{
"bucket": "2026-05-25",
"delivery": {
"accepted": 14820,
"sent": 14810,
"delivered": 14720,
"undelivered": 60,
"failed": 25,
"rejected": 10,
"expired": 5
}
}
]
}
],
"total": 17
}
Returns aggregate delivery and latency statistics grouped by normalized failure reason for the requested period. The grouping key matches the error_code filter on the message list, so each row maps directly to the affected messages rather than a raw carrier code. Rows are ranked by the sort metric (default failed) descending and capped at the requested limit (default 50, hard maximum 200).
Rows use send-time attribution. A delivery confirmed during the period for a message accepted earlier counts against the earlier period. A recent period therefore under-reports delivered while delivery reports are still arriving, and its counts grow as reports arrive. The maximum window is 365 days; requesting a longer range returns 422.
Query Parameters
fromstringStart date (inclusive) in YYYY-MM-DD, interpreted as a calendar day in timezone (a UTC day when timezone is omitted). Defaults to 30 days before to when omitted; with include_trend=true and trend_grain=hourly the default tightens to keep the window within the 720-hour trend cap.
tostringEnd date (inclusive) in YYYY-MM-DD, interpreted as a calendar day in timezone (a UTC day when timezone is omitted). Defaults to today in that timezone when omitted. Window may not exceed 365 days.
timezonestringIANA timezone identifier used to group statistics, for example Asia/Kathmandu. The default is UTC. Day and hour boundaries, including the default window when from and to are omitted, follow this timezone. When this parameter is set, pass from and to as calendar days or Z instants instead of timestamps with explicit UTC offsets.
sortstringMetric to rank rows by, applied descending. Defaults to failed. Only lifecycle counts are sortable; this breakdown has no rates.
Possible values: accepted, sent, delivered, undelivered, failed, rejected, expired
limitintegerMaximum number of error-code rows to return, ranked by the sort field descending.
include_trendbooleanWhen true, each row also carries a trend array: a short per-bucket lifecycle-count series for that row over the window. Returned only when limit is 50 or fewer and the window is at most 90 days (trend_grain=daily) or 720 hours (trend_grain=hourly); a larger request returns 422.
trend_grainstringBucket grain for the trend series. Has no effect unless include_trend=true.
Possible values: daily, hourly
Response Payload
periodThe date range the response covers (echoed back from the request), plus data_as_of, the freshness boundary the data is current to.
Show child attributes
period.fromInclusive start of the window, as a calendar day (YYYY-MM-DD) or an RFC 3339 hour boundary.
period.toInclusive end of the window, as a calendar day (YYYY-MM-DD) or an RFC 3339 hour boundary.
period.data_as_ofLatest time reflected in the statistics. More recent events might not be included yet. Null when the freshness boundary is unavailable.
dataError-code breakdown rows, ranked by the sort metric (default failed) descending. Empty when no delivery failures occurred in the period.
Show child attributes
data.error_codeStandardized failure reason this row aggregates. Matches the error_code message-list filter.
data.deliveryShow child attributes
data.delivery.acceptedDistinct messages accepted for sending after admission checks. This is the denominator for delivery_rate and failure_rate.
data.delivery.sentDistinct messages handed off to the carrier for delivery.
data.delivery.deliveredDistinct messages the carrier confirmed as delivered to the handset.
data.delivery.undeliveredDistinct messages the carrier reported as not delivered.
data.delivery.failedDistinct messages that failed during sending.
data.delivery.rejectedDistinct messages rejected before any send attempt, for example by sending policy or a message-generation failure.
data.delivery.expiredDistinct messages that could not be delivered within their validity window and expired.
data.delivery.delivery_rateShare of accepted messages that were delivered, computed as delivered / accepted. Null when no messages were accepted in scope.
data.delivery.failure_rateShare of accepted messages that ultimately failed, computed as (undelivered + failed + expired) / accepted. Null when no messages were accepted in scope.
data.latencyShow child attributes
data.latency.processingApproximate p50, p95, and p99 latency percentiles in milliseconds for one latency family. All three are null when no qualifying event contributed a measurement.
Show child attributes
data.latency.processing.p50_msMedian (50th percentile) latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.processing.p95_ms95th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.processing.p99_ms99th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.deliveryApproximate p50, p95, and p99 latency percentiles in milliseconds for one latency family. All three are null when no qualifying event contributed a measurement.
Show child attributes
data.latency.delivery.p50_msMedian (50th percentile) latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.delivery.p95_ms95th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.delivery.p99_ms99th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.totalApproximate p50, p95, and p99 latency percentiles in milliseconds for one latency family. All three are null when no qualifying event contributed a measurement.
Show child attributes
data.latency.total.p50_msMedian (50th percentile) latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.total.p95_ms95th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.total.p99_ms99th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.trendPer-bucket lifecycle counts for this error code, using trend_grain. Includes only buckets with activity. Present when include_trend=true.
Show child attributes
data.trend.bucketThe day (YYYY-MM-DD) or hour (RFC 3339, on the hour) this point covers, matching the period's grain.
data.trend.deliveryShow child attributes
data.trend.delivery.acceptedDistinct messages accepted for sending after admission checks.
data.trend.delivery.sentDistinct messages handed off to the carrier for delivery.
data.trend.delivery.deliveredDistinct messages the carrier confirmed as delivered to the handset.
data.trend.delivery.undeliveredDistinct messages the carrier reported as not delivered.
data.trend.delivery.failedDistinct messages that failed during sending.
data.trend.delivery.rejectedDistinct messages rejected before any send attempt, for example by sending policy or a message-generation failure.
data.trend.delivery.expiredDistinct messages that could not be delivered within their validity window and expired.
totalTotal number of distinct error codes with activity in the period, regardless of limit. When it exceeds the number of rows returned, the ranking was capped; raise limit (up to 200) or narrow the window to see more.
Related resources
Continue with the documentation, guides and examples for this topic.