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API Reference
Radar
BGP

IPs

Get announced IP address space time series
client.radar.bgp.ips.timeseries(IPTimeseriesParams { asn, dateEnd, dateRange, 6 more } query?, RequestOptionsoptions?): IPTimeseriesResponse { meta, serie_0 }
GET/radar/bgp/ips/timeseries
ModelsExpand Collapse
IPTimeseriesResponse { meta, serie_0 }
meta: Meta { aggInterval, confidenceInfo, dateRange, 4 more }

Metadata for the results.

aggInterval: "FIFTEEN_MINUTES" | "ONE_HOUR" | "ONE_DAY" | 2 more

Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals). Refer to Aggregation intervals.

One of the following:
"FIFTEEN_MINUTES"
"ONE_HOUR"
"ONE_DAY"
"ONE_WEEK"
"ONE_MONTH"
confidenceInfo: ConfidenceInfo { annotations, level }
annotations: Array<Annotation>
dataSource: "ALL" | "AI_BOTS" | "AI_GATEWAY" | 22 more

Data source for annotations.

One of the following:
"ALL"
"AI_BOTS"
"AI_GATEWAY"
"BGP"
"BOTS"
"CONNECTION_ANOMALY"
"CT"
"DNS"
"DNS_MAGNITUDE"
"DNS_AS112"
"DOS"
"EMAIL_ROUTING"
"EMAIL_SECURITY"
"FW"
"FW_PG"
"HTTP"
"HTTP_CONTROL"
"HTTP_CRAWLER_REFERER"
"HTTP_ORIGINS"
"IQI"
"LEAKED_CREDENTIALS"
"NET"
"ROBOTS_TXT"
"SPEED"
"WORKERS_AI"
description: string
endDate: string
formatdate-time
eventType: "EVENT" | "GENERAL" | "OUTAGE" | 3 more

Event type for annotations.

One of the following:
"EVENT"
"GENERAL"
"OUTAGE"
"PARTIAL_PROJECTION"
"PIPELINE"
"TRAFFIC_ANOMALY"
isInstantaneous: boolean

Whether event is a single point in time or a time range.

linkedUrl: string
formaturi
startDate: string
formatdate-time
level: number

Provides an indication of how much confidence Cloudflare has in the data.

dateRange: Array<DateRange>
endTime: string

Adjusted end of date range.

formatdate-time
startTime: string

Adjusted start of date range.

formatdate-time
lastUpdated: string

Timestamp of the last dataset update.

formatdate-time
normalization: "PERCENTAGE" | "MIN0_MAX" | "MIN_MAX" | 5 more

Normalization method applied to the results. Refer to Normalization methods.

One of the following:
"PERCENTAGE"
"MIN0_MAX"
"MIN_MAX"
"RAW_VALUES"
"PERCENTAGE_CHANGE"
"ROLLING_AVERAGE"
"OVERLAPPED_PERCENTAGE"
"RATIO"
units: Array<Unit>

Measurement units for the results.

name: string
value: string
delay?: Delay { asn_data, country_data, healthy, nowTs }
asn_data: ASNData { delaySecs, delayStr, healthy, latest }
delaySecs: number
delayStr: string
healthy: boolean
latest: Latest { entries_count, path, timestamp }
entries_count: number
path: string
timestamp: number
country_data: CountryData { delaySecs, delayStr, healthy, latest }
delaySecs: number
delayStr: string
healthy: boolean
latest: Latest { count, timestamp }
count: number
timestamp: number
healthy: boolean
nowTs: number
serie_0: Serie0 { ipv4, ipv6, timestamps }
ipv4: Array<string>
ipv6: Array<string>
timestamps: Array<string>