Stats by sending domain
GET
/v1/email/stats/sending-domains
curl -X GET "https://us1.platform.bird.com/v1/email/stats/sending-domains" \
-H "Authorization: Bearer $TOKEN" \
--url-query "sort=processed" \
--url-query "limit=50" \
--url-query "include_trend=false" \
--url-query "trend_grain=daily"Returns delivery, engagement, and deliverability counts grouped by sending domain — the portion of the From address after the @. Use this to compare deliverability across multiple verified domains in your workspace, for example transactional vs marketing or sub-domain segregation for IP warming. Rows are ranked by the sort metric (default processed) descending and capped at the requested limit (default 50, hard maximum 200).
Rows are computed against event time (not send time), so engagement and bounces received during the period for messages sent earlier are included.
The delivery and total latency percentiles are computed across deliveries from each domain and are null if no deliveries occurred for that domain in the period. The processing latency percentile is populated as soon as at least one recipient on that domain has been processed, even before any delivery has been confirmed.
The maximum window is 365 days; requesting a longer range returns 422.
查询参数
from
string
Start 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 29 days before to, keeping the defaulted window within the 720-hour trend cap.
to
string
End 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.
timezone
string
IANA timezone identifier (for example Asia/Kathmandu or America/New_York) to report the statistics in. It is the single source of timezone: day and hour boundaries, and the relative window defaults used when from and to are omitted, are computed in this timezone instead of UTC, so a timezone with a sub-hour offset (such as India at +05:30 or Nepal at +05:45) still gets correct local-day and local-hour totals. When it is set, a from or to given as a calendar day names a local day in this timezone, and one given as an instant stays an absolute point in time but is rounded down to its hour and bucketed in this timezone (so the hour boundaries are local, not UTC). To avoid specifying the zone twice, a from or to that carries its own numeric UTC offset (for example +05:45) is rejected when timezone is set; use a calendar day or a Z (UTC) instant instead. Defaults to UTC.
category
string
Email statistics are aggregated across all categories. Per-category filtering is not yet available; supplying this parameter returns 422.
sort
string
Metric to rank rows by, applied descending. Any count or rate in the response may be used; rows whose rate is undefined (zero denominator) sort last. Defaults to processed.
limit
integer
Maximum number of domain rows to return, ranked by the sort field descending.
include_trend
boolean
When true, each row also carries a trend array: a short per-bucket series of that row's delivery and engagement rates 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. When from is omitted and trend_grain=hourly, the default window is 30 days (720 hours), so a request built entirely from defaults always fits the cap.
trend_grain
string
Bucket grain for the trend series. Has no effect unless include_trend=true.
响应载荷
period
object
必填
显示子属性
period.from
string
必填
Inclusive start date the response covers (YYYY-MM-DD).
period.to
string
必填
Inclusive end date the response covers (YYYY-MM-DD).
period.data_as_of
nullable string
The 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 is near-real-time but not live; use this field to label data freshness (for example "as of 14:03") rather than assuming the numbers are to-the-second. Null when the freshness boundary is not being reported.
data
array of object
必填
Sending-domain breakdown rows, ranked by the sort metric (default processed) descending. Empty when no eligible activity occurred in the period.
显示子属性
data.sending_domain
string
必填
The sending domain (the portion of the From address after the @), normalized to lowercase.
data.delivery
object
必填
显示子属性
data.delivery.accepted
integer
Distinct recipients accepted for delivery after suppression filtering. Reported on time buckets and the period summary; omitted on breakdown rows, whose rollups do not carry it.
data.delivery.processed
integer
必填
Distinct recipients whose message was processed and handed off for delivery.
data.delivery.delivered
integer
必填
Distinct recipients whose message the receiving mail server accepted.
data.delivery.bounced
integer
必填
Distinct recipients whose delivery failed. Approximately the sum of the five bounces.* sub-counts (hard, soft, admin, block, undetermined); the totals are computed independently so they may differ slightly at the approximation error.
data.delivery.bounces
object
必填
显示子属性
data.delivery.bounces.hard
integer
必填
Distinct recipients with a permanent delivery failure (invalid address or non-existent domain).
data.delivery.bounces.soft
integer
必填
Distinct recipients with a transient delivery failure (mailbox full or server temporarily unavailable).
data.delivery.bounces.admin
integer
必填
Distinct recipients bounced by an upstream policy block (relaying denied, blocklisted domain).
data.delivery.bounces.block
integer
必填
Distinct recipients bounced because the receiving mail server blocked the sending IP for reputation reasons.
data.delivery.bounces.undetermined
integer
必填
Distinct recipients bounced where the receiving server's response did not allow precise classification.
data.delivery.bounces.hard_rate
nullable number
必填
Fraction of bounced recipients that hard bounced, computed as hard / bounced. Null when bounced is zero.
data.delivery.bounces.soft_rate
nullable number
必填
Fraction of bounced recipients that soft bounced, computed as soft / bounced. Null when bounced is zero.
data.delivery.bounces.admin_rate
nullable number
必填
Fraction of bounced recipients that admin bounced, computed as admin / bounced. Null when bounced is zero.
data.delivery.bounces.block_rate
nullable number
必填
Fraction of bounced recipients that block bounced, computed as block / bounced. Null when bounced is zero.
data.delivery.bounces.undetermined_rate
nullable number
必填
Fraction of bounced recipients with undetermined classification, computed as undetermined / bounced. Null when bounced is zero.
data.delivery.complained
integer
必填
Distinct recipients who reported the message as spam via a feedback loop.
data.delivery.deferred
integer
必填
Distinct recipients whose delivery the receiving server temporarily delayed and is still being retried.
data.delivery.rejected
integer
必填
Distinct 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_bounces
integer
必填
Out-of-band bounce events: distinct failure notifications received after the receiving server had initially confirmed delivery. Counted as deduplicated events, not unique recipients.
data.delivery.effective_delivered
integer
必填
Recipients who remain in-inbox in this scope 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_bounces
integer
必填
Total recipients in this scope who did not receive the message, computed as bounced + oob_bounces.
data.delivery.oob_rate
nullable number
必填
Share 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_rate
nullable number
必填
Share of this scope's delivery attempts that resulted in a message remaining in-inbox, computed as effective_delivered / (delivered + bounced). Null when there were no attempts.
data.delivery.bounce_rate
nullable number
必填
Share of this scope's delivery attempts that ultimately failed (inband or out-of-band), computed as all_bounces / (delivered + bounced). Null when there were no attempts.
data.delivery.complaint_rate
nullable number
必填
Spam 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.engagement
object
必填
显示子属性
data.engagement.opens
integer
必填
Distinct 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_prefetched
integer
必填
Distinct 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_opens
integer
必填
Distinct recipients who opened at least once, including opens auto-fetched by inbox privacy features.
data.engagement.unique_opens_non_prefetched
integer
必填
Distinct 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.clicks
integer
必填
Distinct click events, counting repeat clicks from the same recipient.
data.engagement.unique_clicks
integer
必填
Distinct recipients who clicked at least once.
data.engagement.unsubscribes
integer
必填
Distinct unsubscribe events, recorded via the list-unsubscribe header or the footer link.
data.engagement.open_rate
nullable number
必填
Distinct non-prefetched openers relative to recipients delivered in the same scope, computed as unique_opens_non_prefetched / 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 delivery.delivered is zero.
data.engagement.click_rate
nullable number
必填
Distinct clickers relative to recipients delivered in the same scope, computed as unique_clicks / delivery.delivered. Clicks are attributed by event time, so engagement earned by earlier deliveries can push the rate above 1. Null when delivery.delivered is zero.
data.engagement.unsubscribe_rate
nullable number
必填
Unsubscribes relative to recipients delivered in the same scope, computed as unsubscribes / delivery.delivered. Unsubscribes are attributed by event time, so the rate can exceed 1. Null when delivery.delivered is zero.
data.latency
object
必填
显示子属性
data.latency.processing
object
p50, p95, and p99 latency percentiles in milliseconds for one latency family over the bucket. Percentiles are approximate (computed from a high-volume aggregation pipeline). All three are null together when no qualifying event contributed a latency measurement in the bucket.
显示子属性
data.latency.processing.p50_ms
nullable integer
必填
Median (50th percentile) latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.processing.p95_ms
nullable integer
必填
95th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.processing.p99_ms
nullable integer
必填
99th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.delivery
object
p50, p95, and p99 latency percentiles in milliseconds for one latency family over the bucket. Percentiles are approximate (computed from a high-volume aggregation pipeline). All three are null together when no qualifying event contributed a latency measurement in the bucket.
显示子属性
data.latency.delivery.p50_ms
nullable integer
必填
Median (50th percentile) latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.delivery.p95_ms
nullable integer
必填
95th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.delivery.p99_ms
nullable integer
必填
99th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.total
object
p50, p95, and p99 latency percentiles in milliseconds for one latency family over the bucket. Percentiles are approximate (computed from a high-volume aggregation pipeline). All three are null together when no qualifying event contributed a latency measurement in the bucket.
显示子属性
data.latency.total.p50_ms
nullable integer
必填
Median (50th percentile) latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.total.p95_ms
nullable integer
必填
95th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.latency.total.p99_ms
nullable integer
必填
99th percentile latency in milliseconds. Null when no qualifying event contributed a measurement.
data.trend
array of object
Per-bucket rate series for this sending domain over the window. Present only when include_trend=true.
显示子属性
data.trend.bucket
string
必填
The day (YYYY-MM-DD) or hour (ISO 8601, on the hour) this point covers, matching the requested trend_grain.
data.trend.delivered
integer
必填
Delivered recipients in this bucket.
data.trend.bounced
integer
必填
Bounced recipients in this bucket.
data.trend.delivery_rate
nullable number
必填
Delivery rate for this bucket, as a fraction. Null when nothing was delivered or bounced.
data.trend.bounce_rate
nullable number
必填
Bounce rate for this bucket, as a fraction. Null when nothing was delivered or bounced.
data.trend.complaint_rate
nullable number
必填
Complaint rate for this bucket, as a fraction; event-time attribution can push it above 1 when complaints outrun the bucket's deliveries. Null when nothing was delivered in the bucket. On a sending-IP row complaints are not attributed to the IP, so this reads 0 in buckets that had deliveries and null in buckets that had none.
data.trend.open_rate
nullable number
必填
Open rate for this bucket, as a fraction; event-time attribution can push it above 1 when opens outrun the bucket's deliveries. Null when nothing was delivered in the bucket. On a sending-IP row engagement is not attributed to the IP, so this reads 0 in buckets that had deliveries and null in buckets that had none.
data.trend.click_rate
nullable number
必填
Click rate for this bucket, as a fraction; event-time attribution can push it above 1 when clicks outrun the bucket's deliveries. Null when nothing was delivered in the bucket. On a sending-IP row engagement is not attributed to the IP, so this reads 0 in buckets that had deliveries and null in buckets that had none.
total
integer
必填
Total number of distinct sending domains 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.