Get hourly sending statistics
/v1/email/stats/hourlyconst series = await bird.email.stats.hourly({ from: "2026-05-01", to: "2026-05-02" });
for (const row of series.data) console.log(row.bucket, row.delivery.delivered);stats = client.email.stats.hourly(
from_="2026-05-25T00:00:00Z",
to="2026-05-25T23:59:59Z",
)
for point in stats.data:
print(point.bucket, point.delivery)series, err := client.Email.Stats.Hourly(context.Background(), bird.EmailStatsHourlyParams{
From: time.Now().Add(-24 * time.Hour),
To: time.Now(),
})
if err != nil {
log.Fatal(err)
}
fmt.Println(series.Data)$series = $bird->email->stats->hourly(['from' => '2026-05-01', 'to' => '2026-05-02']);
foreach ($series->getData() ?? [] as $row) {
echo $row->getBucket(), ' ', $row->getDelivery()?->getDelivered(), "\n";
}bird email stats hourlycurl -X GET "https://us1.platform.bird.com/v1/email/stats/hourly" \
-H "Authorization: Bearer $TOKEN"{
"period": {
"from": "2026-05-01",
"to": "2026-05-31",
"grain": "day",
"data_as_of": "2026-05-25T14:03:10Z"
},
"data": [
{
"bucket": "2026-05-25",
"sends_accepted": 412,
"delivery": {
"accepted": 14820,
"processed": 14810,
"delivered": 14720,
"bounced": 90,
"bounces": {
"hard": 12410,
"soft": 14290,
"admin": 410,
"block": 920,
"undetermined": 80,
"hard_rate": 0.454,
"soft_rate": 0.523,
"admin_rate": 0.015,
"block_rate": 0.0337,
"undetermined_rate": 0.0029
},
"complained": 3,
"deferred": 14,
"rejected": 10,
"oob_bounces": 2,
"effective_delivered": 14718,
"all_bounces": 92,
"oob_rate": 0.00014,
"delivery_rate": 0.9939,
"bounce_rate": 0.0061,
"complaint_rate": 0.0002
},
"engagement": {
"opens": 5420,
"opens_non_prefetched": 3210,
"unique_opens": 3640,
"unique_opens_non_prefetched": 2480,
"clicks": 924,
"unique_clicks": 621,
"unsubscribes": 12,
"open_rate": 0.1683,
"click_rate": 0.0422,
"unsubscribe_rate": 0.0009
},
"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
}
}
}
]
}
Returns one row of aggregate sending statistics per hour for the workspace: UTC hours by default, or your local hours when timezone is set (a timezone with a sub-hour offset gets correctly aligned hours). Useful for inspecting send rate, deliverability, and engagement inside a single day or a recent window; hours with no activity are included with zero counts.
Rows use event time. For example, a click recorded at 14:07 for a message sent at 09:00 lands in the 14:00 row.
A single request may span at most 30 days (720 hourly rows); for longer ranges use the daily endpoint, which has a 365-day window. An hourly window longer than 30 days, or a from after to, returns 422.
Query Parameters
fromstringStart of the window (ISO 8601 instant). Rounded down to the start of its hour (the local hour when timezone is set, otherwise the UTC hour), and that hour is included. When timezone is set, a numeric UTC offset here (for example +05:45) is rejected; use a Z (UTC) instant. Defaults to 7 days before to when omitted.
tostringEnd of the window (ISO 8601 instant). Rounded down to the start of its hour (the local hour when timezone is set, otherwise the UTC hour), and that hour is included (both bounds inclusive). When timezone is set, a numeric UTC offset here is rejected; use a Z (UTC) instant. Defaults to the current hour when omitted. Window may not exceed 30 days (720 hours).
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.
categorystringRestrict the statistics to a category or a comma-separated union of categories: transactional or marketing. Mutually exclusive with the other dimension filters; only one may be set per request.
sending_domainstringRestrict the statistics to a sending domain or a comma-separated union of sending domains (the part of the From address after @). Mutually exclusive with the other dimension filters; only one may be set per request.
tagstringRestrict the statistics to a tag. Use name to match any value of a tag, or name:value for a specific pair (for example campaign:spring_launch). To combine values of one tag name, separate complete pairs with commas, such as campaign:spring,campaign:summer. Different tag names cannot be combined. Mutually exclusive with the other dimension filters; only one may be set per request.
sending_ipstringRestrict the statistics to a sending IP or a comma-separated union of IPs. Mutually exclusive with the other dimension filters; only one may be set per request. A sending IP is assigned only after a message reaches delivery, so this filter reports delivery-side metrics only. Accepted, processed, rejected, complaint, and engagement counts are 0, and processing latency is null. Complaint, open, and click rates are 0 when deliveries exist and null otherwise.
recipient_domainstringRestrict the statistics to a recipient mailbox domain or a comma-separated union of domains (the part of the recipient address after the @, for example gmail.com). Mutually exclusive with the other dimension filters; only one may be set per request.
templatestringRestricts the statistics to a template or a comma-separated union of templates, identified by ID (emt_…) or name. This parameter is mutually exclusive with other dimension filters.
Response Payload
periodThe window and bucket grain the response covers, echoed from the request, plus the freshness boundary the data is current to.
Show child attributes
period.fromInclusive start of the window. A calendar day (YYYY-MM-DD, in the requested timezone) on the day grain. On the hour grain, an RFC 3339 UTC instant marking the start of the first hour bucket, which falls on a local hour boundary when timezone is set.
period.toInclusive end of the window. A calendar day (YYYY-MM-DD, in the requested timezone) on the day grain. On the hour grain, an RFC 3339 UTC instant marking the start of the last hour bucket, which falls on a local hour boundary when timezone is set.
period.grainThe bucket grain of the series, either day or hour.
Possible values: day, hour
period.data_as_ofThe instant the statistics in this response are current to: events recorded up to roughly this time are reflected, while more recent events may not be yet. Statistics are served from a rolling aggregation that refreshes every few seconds, so a response reflects data from up to a few seconds ago. Use this field to label data freshness rather than assuming the numbers are to-the-second. Null when the freshness boundary is not being reported.
dataOne row per bucket (day or hour, per the grain) in the period, in chronological order. Buckets with no activity are included with zero counts.
Show child attributes
data.bucketThe day (YYYY-MM-DD, in the requested timezone) or hour this point covers, matching the period's grain. An hour bucket is an RFC 3339 UTC instant marking the start of the hour. It falls on a local hour boundary when timezone is set, which is on the UTC hour only for whole-hour offsets.
data.sends_acceptedDistinct email messages accepted in this bucket, counted at the message level (one per accepted send regardless of how many recipients it addresses). Every other metric in delivery and engagement is recipient-level or event-level.
data.deliveryShow child attributes
data.delivery.acceptedDistinct recipients accepted for delivery after suppression filtering. Reported on time buckets and the period summary. Breakdown rows leave it out, because their rollups do not have it.
data.delivery.processedDistinct recipients whose message was processed and handed off for delivery.
data.delivery.deliveredDistinct recipients whose message the receiving mail server accepted.
data.delivery.bouncedDistinct recipients whose delivery failed. This is approximately the sum of the five bounces.* sub-counts (hard, soft, admin, block, undetermined). The two totals are worked out independently, so they can differ slightly.
data.delivery.bouncesShow child attributes
data.delivery.bounces.hardDistinct recipients with a permanent delivery failure (invalid address or non-existent domain).
data.delivery.bounces.softDistinct recipients with a transient delivery failure (mailbox full or server temporarily unavailable).
data.delivery.bounces.adminDistinct recipients refused by a policy at the receiving end, such as relaying denied or a blocklisted domain.
data.delivery.bounces.blockDistinct recipients bounced because the receiving mail server blocked the sending IP for reputation reasons.
data.delivery.bounces.undeterminedDistinct recipients bounced where the receiving server's response did not allow precise classification.
data.delivery.bounces.hard_rateFraction of bounced recipients that hard bounced, computed as hard / bounced. Null when bounced is zero.
data.delivery.bounces.soft_rateFraction of bounced recipients that soft bounced, computed as soft / bounced. Null when bounced is zero.
data.delivery.bounces.admin_rateFraction of bounced recipients that admin bounced, computed as admin / bounced. Null when bounced is zero.
data.delivery.bounces.block_rateFraction of bounced recipients that block bounced, computed as block / bounced. Null when bounced is zero.
data.delivery.bounces.undetermined_rateFraction of bounced recipients with undetermined classification, computed as undetermined / bounced. Null when bounced is zero.
data.delivery.complainedDistinct recipients who reported the message as spam via a feedback loop.
data.delivery.deferredDistinct recipients whose delivery the receiving server temporarily delayed and is still being retried.
data.delivery.rejectedDistinct recipients rejected before any delivery attempt. Includes recipients on the workspace suppression list, transmissions that could not be completed, message-generation failures, and recipients refused by sending policy. The per-recipient rejection_reason field on GET /v1/email/messages/{message_id}/recipients surfaces the specific cause.
data.delivery.oob_bouncesOut-of-band bounce events: distinct failure notifications received after the receiving server had initially confirmed delivery. The count represents deduplicated events rather than unique recipients.
data.delivery.effective_deliveredRecipients who remain delivered after all bounce signals resolve, computed as delivered - oob_bounces. Use this as the base for engagement-rate denominators. Clamped to 0 when oob_bounces exceeds delivered.
data.delivery.all_bouncesTotal recipients in this scope who did not receive the message, computed as bounced + oob_bounces.
data.delivery.oob_rateShare of this scope's delivery attempts that resulted in an out-of-band bounce, computed as oob_bounces / (delivered + bounced). Null when there were no attempts.
data.delivery.delivery_rateShare of this scope's delivery attempts that remained delivered after all bounce signals, computed as effective_delivered / (delivered + bounced). Null when there were no attempts.
data.delivery.bounce_rateShare of this scope's delivery attempts that ultimately failed (inband or out-of-band), computed as all_bounces / (delivered + bounced). Because oob_bounces counts events rather than recipients, all_bounces can exceed the attempt count. The rate is clamped to 1. Null when there were no attempts.
data.delivery.complaint_rateSpam complaints in this scope relative to effectively delivered recipients, computed as complained / effective_delivered. Complaints are attributed by event time, so a scope can record more of them than it effectively delivered, pushing the rate above 1. Null when effective_delivered is zero.
data.engagementShow child attributes
data.engagement.opensDistinct open events, counting repeat opens from the same recipient and opens auto-fetched by inbox privacy features (such as Apple Mail Privacy Protection and the Gmail image proxy).
data.engagement.opens_non_prefetchedDistinct open events excluding those auto-fetched by inbox privacy features. Same event-counting semantics as opens (repeat opens from the same recipient count separately), with prefetched opens removed.
data.engagement.unique_opensDistinct recipients who opened at least once, including opens auto-fetched by inbox privacy features.
data.engagement.unique_opens_non_prefetchedDistinct recipients who opened at least once, excluding opens auto-fetched by inbox privacy features. This is the numerator used for open rate, so iOS-heavy audiences (Apple Mail Privacy Protection and similar) do not inflate it.
data.engagement.clicksDistinct click events, counting repeat clicks from the same recipient.
data.engagement.unique_clicksDistinct recipients who clicked at least once.
data.engagement.unsubscribesDistinct unsubscribe events, recorded via the list-unsubscribe header or the footer link.
data.engagement.open_rateDistinct non-prefetched openers relative to effectively delivered recipients in the same scope, computed as unique_opens_non_prefetched / delivery.effective_delivered; on rows without an effective_delivered field (the mailbox-provider breakdowns) the denominator equals delivery.delivered. The numerator excludes opens auto-fetched by inbox privacy features. Opens are attributed by event time, so engagement earned by earlier deliveries can push the rate above 1. Null when the denominator is zero.
data.engagement.click_rateDistinct clickers relative to effectively delivered recipients in the same scope, computed as unique_clicks / delivery.effective_delivered (delivery.delivered on rows without an effective_delivered field). Clicks are attributed by event time, so engagement earned by earlier deliveries can push the rate above 1. Null when the denominator is zero.
data.engagement.unsubscribe_rateUnsubscribe events relative to effectively delivered recipients in the same scope, computed as unsubscribes / delivery.effective_delivered (delivery.delivered on rows without an effective_delivered field). Unsubscribes are attributed by event time, so the rate can exceed 1. Null when the denominator is zero.
data.latencyShow child attributes
data.latency.processingApproximate p50, p95, and p99 latency percentiles in milliseconds for one latency family over the bucket. 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 over the bucket. 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 over the bucket. 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.
Related resources
Continue with the documentation, guides and examples for this topic.