Get daily sending statistics
/v1/email/stats/dailyconst series = await bird.email.stats.daily({ from: "2026-05-01", to: "2026-05-31" });
for (const row of series.data) console.log(row.bucket, row.delivery.delivered);stats = client.email.stats.daily(from_="2026-05-01", to="2026-05-25")
for point in stats.data:
print(point.bucket, point.sends_accepted)series, err := client.Email.Stats.Daily(context.Background(), bird.EmailStatsDailyParams{
From: time.Now().AddDate(0, 0, -7),
To: time.Now(),
})
if err != nil {
log.Fatal(err)
}
fmt.Println(series.Data)$series = $bird->email->stats->daily(['from' => '2026-05-01', 'to' => '2026-05-31']);
foreach ($series->getData() ?? [] as $row) {
echo $row->getBucket(), ' ', $row->getDelivery()?->getDelivered(), "\n";
}bird email stats dailycurl -X GET "https://us1.platform.bird.com/v1/email/stats/daily" \
-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 calendar day for the workspace: UTC days by default, or your local days when timezone is set. Days with no activity are included with zero counts, so the series charts without client-side gap handling. Suited to charts and trend lines; for per-message exact accounting use the message detail endpoints.
Rows use event time. For example, a complaint received on Wednesday for a message sent the prior Monday is counted in Wednesday's row.
The maximum window is 365 days; requesting a longer range returns 422.
Queryparameters
fromstringStart date (inclusive), 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.
tostringEnd date (inclusive), 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.
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.
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.
Onderliggende attributen tonen
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.deliverydata.engagementdata.latencyOnderliggende attributen tonen
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.
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.
Onderliggende attributen tonen
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.
Gerelateerde bronnen
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