About RPKIViews
RPKIViews discovers and stores all the world's RPKI data. The guiding principle is to support future and unforeseen use cases by making the world's RPKI data easily accessible in its original form. RPKI material is collected globally from multiple topologically and geographically diverse vantage points using both rsync and RRDP synchronization. The project is operated by Job Snijders.
Praise
"RPKIViews has proved many times over the last year to be uniquely invaluable resource for debugging complicated RPKI issues, also functioning as crucial data for auditing RPKI matters, and for bgp.tools it was critical in building out the initial RPKI data sets." - Ben Cartwright-Cox, bgp.tools founder
"RPKIViews contained exactly the data I needed to investigate and conclusively explain a customer-affecting incident." - Jeff Wheeler, Network Architect
"We infer RIR's signing and publication delays from the RPKIViews archive." - Romain Fontugne, Senior Researcher (PAM'23)
Supporters
A warm thank you to the following people and entities for supporting the RPKIViews project in collecting and archiving all the world's RPKI data: Digital Ocean, Tom Scholl, Amazon Web Services, NTT DATA, Erik Bais †, A2B Internet, Internet Initiative Japan, Mischa Peters, OpenBSD Amsterdam, Niels Bakker, Jeroen Massars, Pim van Pelt, IPng Networks, RETN, Niels Raijer, Fusix Networks, Tobias Fiebig, Lee Hetherington, Kerfuffle.
Archive Forms
Full Snapshots
The most straight-forward form of archiving is full snapshots: after each validation run the node simply copies its complete validated cache into a Gzip-compressed tar archive. The advantage of this form is that each snapshot is self-contained internally consistent complete view of that run. The trade-off is that the full snapshot archives are somewhat slow to produce, fairly large, and successive snapshots contain a lot of redundant data. Snapshots are available immediately after capture.
The Rpkispool Format
The rpkispool method is a newer approach for materialization of RPKI data in order to support a range of use cases such as auditing Certification Authorities and analytical research. Rpkispools can be used for high-latency replication of raw RPKI data and associated validation states as efficiently compressed durable objects. The method uses widely available standardized tooling (ustar, pax Interchange Format, Zstandard, and CCR) and is designed to support long-term preservation of RPKI data in a cost-effective way. The advantage is higher frequency data capture while using less storage, on the other hand the production relies on a centralized compacting process which delays publication up to one day.
Rpkispool Mirrors
Mirrors for rpkispool archives (updated daily):
RPKIviews vantage points
If you would like to participate by sponsoring or hosting a vantage point, please reach out to Job Snijders for coordination.
| Node Identifier | Type | Access | Location | Sponsor |
|---|---|---|---|---|
 |
rpkispool | mirrors | Amsterdam, Netherlands | Digital Ocean |
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rpkispool | mirrors | Amsterdam, Netherlands | Job Snijders |
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rpkispool | mirrors | Amsterdam, Netherlands | Job Snijders |
 |
rpkispool | mirrors | Amsterdam, Netherlands | Fusix Networks |
 |
rpkispool | mirrors | Bangalore, India | Digital Ocean |
 |
rpkispool | mirrors | Bangalore, India | Digital Ocean |
 |
rpkispool | mirrors | Capetown, South Africa | ZANOG |
 |
full snapshots | rsync, HTTPS | Tokyo, Japan | Internet Initiative Japan |
 |
rpkispool | mirrors | Düsseldorf, Germany | Tobias Fiebig |
 |
full snapshots | rsync, HTTPS | Amsterdam, Netherlands | A2B Internet |
 |
rpkispool | mirrors | Amsterdam, Netherlands | Job Snijders |
 |
full snapshots | rsync, HTTPS | Fremont, United States | Kerfuffle |
 |
rpkispool | mirrors | New York, United States | Digital Ocean |
 |
rpkispool | mirrors | Riga, Latvia | RETN |
 |
rpkispool | mirrors | Singapore, Singapore | Digital Ocean |
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rpkispool | mirrors | Sydney, Australia | Digital Ocean |
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rpkispool | mirrors | Sydney, Australia | Digital Ocean |
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rpkispool | mirrors | Toronto, Canada | Digital Ocean |
 |
rpkispool | mirrors | Zurich, Switzerland | IPng Networks |
 |
rpkispool | mirrors | Zurich, Switzerland | IPng Networks |
Other archiving systems:
| FQDN | Location | Access |
|---|---|---|
| amber.massars.net | Massar, Lugano, Switzerland | rsync, HTTPS |
Amalgamations
These datasets are losslessly compressed deduplicated collections of all RPKI objects in original form as discovered by RPKIViews in the given period of time.
- Title
- RPKIViews 2025 Amalgamation
- Object count
- 61,524,413
- Size
- compressed: 58.4 GB, uncompressed: 145.0 GB
- Md5
- 62c45b23bbb9eaa32e1422f012a39802
- Reference
- doi:10.5281/zenodo.18332099
- Title
- RPKIViews 2024 Amalgamation
- Object count
- 56,586,149
- Size
- compressed: 51.4 GB, uncompressed: 115.5 GB
- Md5
- 3ea822d83aad13cce1a217836b62c36d
- Reference
- doi:10.5281/zenodo.18328474
- Title
- RPKIViews 2023 Amalgamation
- Object count
- 57,286,485
- Size
- compressed: 48.7 GB, uncompressed: 111.8 GB
- Md5
- d1a62a4f8f4bf51d49757b58c9099bae
- Reference
- doi:10.5281/zenodo.18327429
- Title
- RPKIViews 2022 Amalgamation
- Object count
- 51,850,445
- Size
- compressed: 41.7 GB, uncompressed: 110.2 GB
- Md5
- 749d33b3395cb6901145db0cfe3e4eee
- Reference
- doi:10.5281/zenodo.18327144
- Title
- RPKIViews 2021 Amalgamation
- Object count
- 46,507,392
- Size
- compressed: 33.8 GB, uncompressed: 78.1 GB
- Md5
- f7e468d2484229f8bf923d84f05a8df7
- Reference
- doi:10.5281/zenodo.18082494
Other RPKI archives
The Raw RRDP Archive: rrdp.rpkiviews.org, based on Ties de Kock's excellent rpki-rrdp-tools-py tooling. This archive contains unvalidated RPKI data in RFC 8182 XML format. Read the announcement here.
RIPE NCC's daily snapshot RPKI archive: ftp.ripe.net/rpki.
Dataplane.org collects data derived from AS0 TALs at rpkiviews.dataplane.org.