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Feed status · checked 2026-09-05

Hiroshima Kotsu (広島交通)

Based on the official feed source on file

Service mode Bus

73.0 / 100

First scorecard for this agency

Catalogued in Hiroshima, Japan.

Covers 149 daysAccessibility gaps

Hiroshima Kotsu's route network north of Hiroshima City. The archive also carries its affiliate Hirokou Kanko (広交観光), including the Ibara line.

A data-quality and completeness lens to help an agency improve its GTFS feed. Not an official compliance determination from any transit program. New to this? How to read your scorecard. Interactive view of this scorecard. Rubric v1.3, validator 8.0.1.

Checked for changes 1 hours ago; last changed 1 hours ago.

Measured 4 of 4 score categories from the official feed URL on file.

How we measured this

Confidence in this measurement: high.

  • All four score categories were measured this run.
  • Realtime was sampled in one bounded window of 9 snapshots.
  • The feed was downloaded from the official feed URL on file.

Confidence describes how much the pipeline could measure this run, not the feed itself. It never changes the grade.

Top things to fix

Fix 01

Add the required column named in the finding to the flagged file.Likely your export tool

A file is missing a column that GTFS requires. Apps may reject the whole file, so riders could lose the affected routes or stops.

⏱ Often an export setting; ask your vendor if it recurs.worth about +12 points in its category

Fix 02

Set wheelchair_boarding to 1 (accessible) or 2 (not accessible) for every stop. A field survey can start with the busiest stops.Likely your team

1374 of 1374 stops don't say whether a wheelchair user can board there. Riders who use wheelchairs can't plan a trip when accessibility is marked 'unknown'; apps show no information at all.

⏱ A column in stops.txt; your scheduling software likely has it.worth about +25 points in its category

Fix 03

Set wheelchair_accessible on every trip. If every vehicle is accessible, this may be one default; otherwise use the value for each trip.Likely your export tool

2420 of 2420 trips don't say whether the vehicle is wheelchair accessible. Even with accessible stops, riders need to know the bus itself can take them.

⏱ A default or per-trip field in your export.worth about +15 points in its category

Finding handoff

Move one finding to a recheck

Select one finding. Copy the request, make the change in the feed-producing tool, then compare the next complete run.

Feed evidence
A file is missing a column that GTFS requires.
Next action
Add the required column named in the finding to the flagged file.
Recheck
Publish the changed feed at the same URL. On the next complete, comparable scorecard run, confirm that this finding is no longer reported.
Copy handoff text
How to make and check these changes

Check the result on the published feed. Read the guide, make the change in your tool, and use the next comparable run to see whether the finding is still reported. Only an action or ticket record can attribute who made the change.

  1. Add the required column named in the finding to the flagged file. · Read the fix guide

    Make the change. Make this change in whatever tool produces your feed, then re-export.

    Check the result. The next scorecard run checks this finding again. If a comparable check no longer reports it, the feed's clearance log records that result. This confirms feed state, not who made the change. Self-check a feed before you publish.

  2. Set wheelchair_boarding to 1 (accessible) or 2 (not accessible) for every stop. A field survey can start with the busiest stops. · Read the fix guide

    Make the change. Make this change in whatever tool produces your feed, then re-export.

    Check the result. The next scorecard run checks this finding again. If a comparable check no longer reports it, the feed's clearance log records that result. This confirms feed state, not who made the change. Self-check a feed before you publish.

  3. Set wheelchair_accessible on every trip. If every vehicle is accessible, this may be one default; otherwise use the value for each trip. · Read the fix guide

    Make the change. Make this change in whatever tool produces your feed, then re-export.

    Check the result. The next scorecard run checks this finding again. If a comparable check no longer reports it, the feed's clearance log records that result. This confirms feed state, not who made the change. Self-check a feed before you publish.

Rider view: what this feed publishes

A quick read of rider-facing information in this feed.

Schedule visibility
The feed's last published service date is in 149 days.
Published accessibility data
Accessibility information is stated for 0% of stops and 0% of trips. This measures published data, not whether stops or vehicles are physically usable.
Fare information
Fare information is published using GTFS Fares v1.
Realtime information
One or more realtime feeds were reachable; live-arrival coverage is not known.

Important: This does not rate service reliability. Riders should confirm current service alerts, fares, and accessibility accommodations with the transit operator before traveling.

Send your vendor a fix request

You may not control the GTFS export yourself. Copy this and send it to whoever runs your scheduling software export. It names each fix with the validator notice and a guide link.

Score by category

Correctness57.8 / 100

The MobilityData validator flagged 8 kinds of issue across 94815 instances (3 error, 94734 warning, 78 informational).

Freshness100.0 / 100

Service data covers the next 149 days.

Rider experience51.2 / 100

0% of stops state wheelchair accessibility (0% marked accessible, 0% marked not accessible). This measures what the feed publishes, not whether a stop is physically usable. Fare data is published.

Accessibility0 / 100

0% of stops state accessibility (0% marked accessible). Reflects what the feed states, not verified physical usability.

1 accessibility depth signal

  • This feed models stations or entrances but has no pathways.txt and levels.txt.

    Consider: Add pathways.txt connecting entrances, platforms, and elevators, and levels.txt for each floor, so the step-free route is described.

Opportunities to strengthen the data, not deductions from the sub-score above. States what the second accessibility lens can check from the feed, not verified physical usability.

FaresLegacy fares

Fares are applied to trips.

Realtime quality100.0 / 100

Sampled 9 times outside service hours: 3 of 3 configured feeds healthy; vehicle position plausibility was not measurable.

Routes and stops

Each route is drawn once, using the longest shape its trips follow; stops are the dots.

This feed has 1374 stops.

Skip to route and stop data

The route and stop data is ready below. Load the map only when you want the geographic view. It uses additional data.

Basemap: OpenFreeMap, © OpenStreetMap contributors. Routes and stops: this agency's GTFS feed.

  • 72G (green)
  • 32H (green)
  • 71-6 (green)
  • 72K (green)
  • 72-7 (green)
  • 32H (green)
  • 72G (green)
  • 71-5 (green)
  • 33-4 (green)
  • 71H (green)
  • 74-1 (green)
  • 勝木線 (green)
  • 可部千代田線 (green)
  • 73-3 (green)
  • 73-1 (green)
  • 73G (green)
  • 74-2 (green)
  • 73G (green)
  • 71H (green)
  • 73-5 (green)
  • 72-1 (green)
  • 30-7 (green)
  • 大町線 (green)
  • 70G (green)
  • 可部循環線 (green)
  • 30-4 (green)
  • 73K (green)
  • 33G (green)
  • 73-6 (green)
  • まちのわループ(左回り) (green)
  • 32-7 (green)
  • 73-2 (green)
  • 桧山線 (green)
  • 緑井・高陽・北部医療センター線 (green)
  • 高陽・毘沙門台線 (green)
  • 桐原線 (green)
  • 73H (green)
  • 桐原上原線 (green)
  • 72H (green)
  • 宇津可部線 (green)
  • 73K (green)
  • 74K (green)
  • 桐陽台線 (green)
  • 可部・深川線 (green)
  • 毘沙門台線 (green)
  • 弘億線 (green)
  • 72-7 (green)
  • 70K (green)
  • 30-3 (green)
  • 井原線 (green)
  • 72G (green)
  • 32-8 (green)
  • 32-6 (green)
  • 30G (green)
  • 71H (green)
  • 74K (green)
  • 山本線 (green)
  • 南原線 (green)
  • 70K (green)
  • 七軒茶屋線(深夜) (green)
  • 74G (green)
  • 70-1 (green)
  • まちのわループ(右回り) (green)
  • 今吉田線 (green)
  • 73-3 (green)
  • 71-4 (green)
  • 30G (green)
  • 72H (green)
  • 73-4 (green)
  • 71H (green)
  • 72-2 (green)
  • 70-2 (green)
  • 71-2 (green)
  • 30K (green)
  • 72-8 (green)
  • 71-4 (green)
  • 30 (green)
  • 32-5 (green)
  • 30-4 (green)
  • 71-1 (green)
  • 70-6 (green)
  • 30-6 (green)
  • 32-1 (green)
  • 30K (green)
  • 32-3 (green)
  • 30-8 (green)
Routes in Hiroshima Kotsu (広島交通)'s feed
RouteTypeLine color
72G 南原線Busgreen
32H 可部・深川線Busgreen
71-6 川内線Busgreen
72K 大林線Busgreen
72-7 桐陽台線Busgreen
32H 深川線Busgreen
72G 大林線Busgreen
71-5 経済大学線Busgreen
33-4 深川線Busgreen
71H 山本線Busgreen
74-1 上原線Busgreen
勝木線Busgreen
可部千代田線Busgreen
73-3 勝木線Busgreen
73-1 勝木線Busgreen
73G 大畑線Busgreen
74-2 南原線Busgreen
73G 勝木線Busgreen
71H 平原線Busgreen
73-5 勝木線Busgreen
72-1 南原線Busgreen
30-7 可部・深川線Busgreen
大町線Busgreen
70G 毘沙門台線Busgreen
可部循環線Busgreen
30-4 深川線(深夜)Busgreen
73K 勝木線Busgreen
33G 深川線Busgreen
73-6 勝木線Busgreen
まちのわループ(左回り)Busgreen
32-7 可部・深川線Busgreen
73-2 勝木線Busgreen
桧山線Busgreen
緑井・高陽・北部医療センター線Busgreen
高陽・毘沙門台線Busgreen
桐原線Busgreen
73H 勝木線Busgreen
桐原上原線Busgreen
72H 大林線Busgreen
宇津可部線Busgreen
73K 大畑線Busgreen
74K 上原線Busgreen
桐陽台線Busgreen
可部・深川線Busgreen
毘沙門台線Busgreen
弘億線Busgreen
72-7 桐陽台線(深夜)Busgreen
70K 桐陽台線Busgreen
30-3 深川線Busgreen
井原線Busgreen
72G 桐陽台線Busgreen
32-8 可部・深川線Busgreen
32-6 深川線Busgreen
30G 可部・深川線Busgreen
71H 経済大学線Busgreen
74K 南原線Busgreen
山本線Busgreen
南原線Busgreen
70K 毘沙門台線Busgreen
七軒茶屋線(深夜)Busgreen
74G 南原線Busgreen
70-1 毘沙門台線Busgreen
まちのわループ(右回り)Busgreen
今吉田線Busgreen
73-3 勝木線(深夜)Busgreen
71-4 山本線(深夜)Busgreen
30G 深川線Busgreen
72H 桐陽台線Busgreen
73-4 大畑線Busgreen
71H 川内線Busgreen
72-2 大林線Busgreen
70-2 毘沙門台線Busgreen
71-2 山本線Busgreen
30K 深川線Busgreen
72-8 大林線Busgreen
71-4 山本線Busgreen
30 深川線Busgreen
32-5 深川線Busgreen
30-4 深川線Busgreen
71-1 平原線Busgreen
70-6 毘沙門台線Busgreen
30-6 深川線Busgreen
32-1 深川線Busgreen
30K 可部・深川線Busgreen
32-3 深川線Busgreen
30-8 可部・深川線Busgreen
List every stop
  • 広島バスセンター
  • 可部上市
  • 可部上市
  • 可部上市
  • 可部上市
  • 可部上市
  • 可部上市
  • 可部上市
  • 可部中央
  • 可部中央
  • 可部中央
  • 可部中央
  • 可部中央
  • 可部中央
  • 可部中央
  • 可部中央
  • 可部中央
  • 可部駅前
  • 可部駅前
  • 可部駅前
  • 下の浜
  • 下の浜
  • 下の浜
  • 下の浜
  • 下の浜
  • 下の浜
  • 広島文教大学入口
  • 広島文教大学入口
  • 広島文教大学入口
  • 広島文教大学入口
  • 広島文教大学入口
  • 広島文教大学入口
  • 中島駅口
  • 中島駅口
  • 中島駅口
  • 太田川橋東
  • 太田川橋東
  • 太田川橋東
  • 太田川橋
  • 太田川橋
  • 太田川橋
  • 中八木
  • 中八木
  • 中八木
  • 八木小学校前
  • 八木小学校前
  • 八木小学校前
  • 八木峠
  • 八木峠
  • 八木峠
  • 八木梅林
  • 八木梅林
  • 八木梅林
  • 八木梅林
  • 八木梅林
  • 梅林小学校前
  • 梅林小学校前
  • 梅林小学校前
  • 梅林小学校前
  • 梅林小学校前
  • 下八木
  • 下八木
  • 下八木
  • 下八木
  • 下八木
  • 上緑井
  • 上緑井
  • 上緑井
  • 上緑井
  • 上緑井
  • 七軒茶屋
  • 七軒茶屋
  • 七軒茶屋
  • 七軒茶屋
  • 七軒茶屋
  • 七軒茶屋
  • 中緑井
  • 中緑井
  • 中緑井
  • 中緑井
  • 中緑井
  • 中緑井
  • 広島インター入口
  • 広島インター入口
  • 広島インター入口
  • 広島インター入口
  • 下緑井
  • 下緑井
  • 下緑井
  • 下緑井
  • 中須
  • 中須
  • 中須
  • 中須
  • 古市小学校前
  • 古市小学校前
  • 古市小学校前
  • 古市小学校前
  • 下古市
  • 下古市
  • 下古市
  • 下古市
  • 下古市
  • 安佐南警察署前
  • 安佐南警察署前
  • 安佐南警察署前
  • 安佐南警察署前
  • 安佐南警察署前
  • 今津
  • 今津
  • 今津
  • 今津
  • 今津
  • 祇園出張所前
  • 祇園出張所前
  • 祇園出張所前
  • 祇園出張所前
  • 祇園出張所前
  • NHK放送所前
  • NHK放送所前
  • NHK放送所前
  • NHK放送所前
  • NHK放送所前
  • 西原
  • 西原
  • 西原
  • 西原
  • 西原
  • 祇園大橋北
  • 祇園大橋北
  • 祇園大橋北
  • 祇園大橋北
  • 祇園大橋北
  • 大芝町
  • 大芝町
  • 大芝町
  • 大芝町
  • 大芝町
  • 三篠町三丁目
  • 三篠町三丁目
  • 三篠町三丁目
  • 三篠町三丁目
  • 三篠町三丁目
  • 三篠町一丁目
  • 三篠町一丁目
  • 三篠町一丁目
  • 三篠町一丁目
  • 三篠町一丁目
  • 横川駅前
  • 横川駅前
  • 横川駅前
  • 横川駅前
  • 横川駅前
  • 横川駅前
  • 広瀬町
  • 広瀬町
  • 広瀬町
  • 広瀬町
  • 広瀬町
  • 広島バスセンター
  • 広島バスセンター
  • 広島バスセンター
  • 広島バスセンター
  • 広島バスセンター
  • 広島バスセンター
  • 合同庁舎前
  • 合同庁舎前
  • 合同庁舎前
  • 女学院前
  • 女学院前
  • 女学院前
  • 女学院前
  • 女学院前
  • 広島駅
  • 広島駅
  • 広島駅
  • 広島駅
  • 広島駅
  • 十日市
  • 十日市
  • 十日市
  • 本川町
  • 本川町
  • 紙屋町
  • 紙屋町
  • 紙屋町
  • 立町
  • 立町
  • 立町
  • 立町
  • 立町
  • 立町
  • 八丁堀
  • 八丁堀
  • 八丁堀
  • 八丁堀
  • 八丁堀
  • 八丁堀
  • 別所団地
  • 別所団地
  • 別所団地
  • 八木峠
  • 八木峠
  • 城南中学校前
  • 城南中学校前
  • 佐東出張所口
  • 佐東出張所口
  • 大宮
  • 大宮
  • 大宮
  • 大宮
  • 大宮
  • 緑井五丁目
  • 緑井五丁目
  • 的場町
  • 的場町
  • 段原一丁目
  • 段原一丁目
  • 段原中央
  • 段原中央
  • 段原南
  • 段原南
  • 大学病院入口
  • 大学病院入口
  • 出汐一丁目
  • 出汐一丁目
  • 大学病院前
  • 大学病院前
  • 出汐三丁目
  • 出汐三丁目
  • 旭町
  • 旭町
  • 東翠町
  • 東翠町
  • 県立広島大学前
  • 県立広島大学前
  • 県病院前
  • 県病院前
  • 西翠町
  • 西翠町
  • 広大附属学校前
  • 広大附属学校前
  • 皆実町六丁目
  • 皆実町六丁目
  • 御幸橋
  • 御幸橋
  • 広電本社前
  • 広電本社前
  • 日赤病院前
  • 日赤病院前
  • and 1124 more (see the full list on the map or in the GeoJSON)

Over time

This is the first scorecard for this agency. A trend and a "what changed" summary appear here once it has been checked more than once.

Everything we checked

13 findings, ordered by severity.

Show every finding
  • Error3 instances

    A file is missing a column that GTFS requires.

    Apps may reject the whole file, so riders could lose the affected routes or stops.

    Fix: Add the required column named in the finding to the flagged file. (Often an export setting; ask your vendor if it recurs.)

    Finding code: missing_required_column · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning90499 instances

    Some rows in stop_times.txt leave the timepoint column blank.

    That column says whether a time is a real checkpoint or an estimate. Blank leaves apps guessing, and they may show your estimates as promises.

    Fix: Set timepoint=1 on stops that are real time checks and 0 on the rest. If every published time is a scheduled one, mark them all 1. (Usually one export setting.)

    Finding code: missing_timepoint_value · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning2528 instances

    Some internal IDs use characters outside the basic text set.

    These IDs are valid UTF-8 data. This warning is only about support in older apps. It does not mean that names in other languages are wrong.

    Fix: Only change the flagged IDs if an app needs basic ASCII values. Update each place that uses the ID. Keep all names and headsigns in their original language. (A planned ID change, not a quick text cleanup.)

    Finding code: non_ascii_or_non_printable_char · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning2420 instances

    2420 of 2420 trips don't say whether the vehicle is wheelchair accessible.

    Even with accessible stops, riders need to know the bus itself can take them.

    Fix: Set wheelchair_accessible on every trip. If every vehicle is accessible, this may be one default; otherwise use the value for each trip. (A default or per-trip field in your export.)

    Finding code: scorecard_wheelchair_accessible_unknown · Read the fix guide · See GTFS Schedule reference (opens the GTFS Schedule reference on an external site)

  • Warning1706 instances

    Some rider-facing names are in ALL CAPS or all lowercase.

    ALL-CAPS stop and headsign names are harder to read in apps and are read awkwardly by screen readers.

    Fix: Use mixed case for stop names and headsigns (e.g. 'Main St & 2nd Ave', not 'MAIN ST & 2ND AVE'). (Often a bulk fix in your scheduling software.)

    Finding code: mixed_case_recommended_field · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning1374 instances

    1374 of 1374 stops don't say whether a wheelchair user can board there.

    Riders who use wheelchairs can't plan a trip when accessibility is marked 'unknown'; apps show no information at all.

    Fix: Set wheelchair_boarding to 1 (accessible) or 2 (not accessible) for every stop. A field survey can start with the busiest stops. (A column in stops.txt; your scheduling software likely has it.)

    Finding code: scorecard_wheelchair_boarding_unknown · Read the fix guide · See GTFS Schedule reference (opens the GTFS Schedule reference on an external site)

  • Warning194 instances

    194 of 2420 trips have no headsign, the text that tells riders where the bus is going.

    When a route has multiple directions or patterns, the route name alone may not tell riders which service is coming.

    Fix: Add the destination, direction, or 'via' label riders actually see to trip_headsign. Do not copy the route name. If the label changes during the trip, use stop_headsign. (Usually one value per route pattern in your scheduling source.)

    Finding code: scorecard_missing_headsigns · Read the fix guide · See GTFS Best Practices (opens GTFS Best Practices on an external site)

  • Warning1 instance

    feed_info.txt lists no contact email and no contact URL.

    Without a contact, apps like Google Maps can't reach you when they find a problem in the feed.

    Fix: Add feed_contact_email or feed_contact_url to feed_info.txt. (One field, set once in export settings.)

    Finding code: missing_feed_contact_email_and_url · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Warning1 instance

    This feed models stations or entrances but has no pathways.txt.

    Trip planners can't guide riders through the station, and there is no step-free route information for wheelchair users.

    Fix: Add pathways.txt to link entrances, platforms, and elevators. Give each one a level. (Worth it for multi-level or large stations; flat stops don't need it.)

    Finding code: scorecard_station_no_pathways · Read the fix guide · See GTFS Schedule reference (opens the GTFS Schedule reference on an external site)

  • Info65 instances

    Platform without parent station (flagged by the MobilityData validator).

    See the linked rule for what this affects.

    Fix: Review the rule documentation for 'platform_without_parent_station' at https://gtfs-validator.mobilitydata.org/rules.html and check the flagged rows in your feed. (Varies.)

    Finding code: platform_without_parent_station · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Info11 instances

    The feed includes a file that is not part of the GTFS spec.

    Apps ignore files they don't know, and a stray file can hide a misspelled standard file name.

    Fix: Check the flagged file name for a typo of a standard GTFS file. Remove it if it is a vendor extra. (A quick look at the flagged file.)

    Finding code: unknown_file · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Info2 instances

    Some files contain columns that are not part of the GTFS spec.

    Harmless to riders, but apps ignore these columns and they can hide typos in real column names.

    Fix: Check the flagged column names for misspellings of standard GTFS fields; remove them if they are vendor extras. (A quick look at the flagged files.)

    Finding code: unknown_column · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

  • Info1 instance

    feed_info.txt has no technical contact (feed_contact_email or feed_contact_url).

    App makers and state data programs have nobody to email when they spot a problem. Small errors then sit in the feed for months.

    Fix: Add feed_contact_email to feed_info.txt. (One field.)

    Finding code: scorecard_no_feed_contact · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)

Conformance mark Not yet

Two requirements remain for this feed to earn the conformance mark. 1 validator error to resolve. States wheelchair access on 0% of stops and 0% of trips; the mark needs 90% of each.

Valid Not yet
1 validator error to resolve.
Current Met
Service data covers the next 149 days.
Accessible Not yet
States wheelchair access on 0% of stops and 0% of trips; the mark needs 90% of each.

In plain words: earn this mark when your feed passes validation, has not expired, and says whether nearly every stop and trip is wheelchair accessible.

A pass credential for a feed that is valid, current, and states wheelchair access on nearly every stop and trip. Accessibility here measures what the feed publishes, not whether a stop is physically usable. How the conformance mark works.

Realtime reliability

The realtime feed responded on 100.0% of 7 checks over the last 1 day, with 32s median lag.

Sampled on a schedule between full scores, so this tracks uptime and freshness over time rather than at a single moment.

Clears the Google and Apple Maps four-week coverage bar. This feed has 149 days of service ahead, clearing the four-week (28-day) window Maps asks for. The feed also carries 3 validator errors, the other thing Maps checks at onboarding; the findings below name each fix.

How this agency maps to the standards

The scorecard is a data-quality lens, not a compliance determination. Its universal references describe good GTFS and useful rider information. Useful references here are GTFS Schedule Best Practices, GTFS-Realtime Best Practices, MobilityData grading scheme, Google Transit publication guidance. Read the full standards crosswalk.

Correctness 58 / 100
GTFS Schedule best practices, checked by the MobilityData validator. MobilityData grading covers stop locations, route names, and colors. Google Transit requires a feed to pass validation for publication.
Freshness 100 / 100
GTFS Schedule best practices call for a dataset that stays current. An expired calendar can remove service from Google Transit and other rider trip planners.
Rider experience 51 / 100
GTFS Best Practices for rider-facing fields. MobilityData grading covers stop names and headsigns.
Realtime quality 100 / 100
GTFS-Realtime best practices: a stable URL, high uptime, and frequent updates.

Show your grade

Put a badge on your agency site or feed README. It updates after each completed scoring check and links back to this scorecard.

Hiroshima Kotsu (広島交通) GTFS data quality grade: C

Prefer a shields.io style? Point a dynamic endpoint badge at the published badge.json.

Cite this record

This page updates on every check. The record below does not: it is the dated file this grade came from, published at https://gtfsscorecard.org/data/artifacts/hiroshima-kotsu/2026-09-05.json and never overwritten, pinning the grade, category scores, rubric version, validator version, reader archive profile, and the scored feed's sha256 as they stood on 2026-09-05. Use it in a board packet, a regulatory filing, or a research citation instead of linking the live page, whose content will differ on your next visit.

Citing the tool itself rather than one agency's record? Use the repo's CITATION.cff.