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Feed status · checked 2026-09-05

Bihoku Kotsu (備北交通)

Based on the official feed source on file

Service mode Bus

62.3 / 100

First scorecard for this agency

Catalogued in Hiroshima, Japan.

Covers 129 daysAccessibility gaps

Bihoku Kotsu's local bus network in the Shobara and Miyoshi area of northern Hiroshima Prefecture.

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.

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

1154 of 1154 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

614 of 614 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 129 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
Live-arrival data covered 100% of scheduled trips in the sampled window.

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

Correctness36.0 / 100

The MobilityData validator flagged 12 kinds of issue across 20107 instances (3 error, 20083 warning, 21 informational).

Freshness100.0 / 100

Service data covers the next 129 days.

Rider experience38.9 / 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.

FaresLegacy fares

Fares are applied to trips.

Realtime quality100.0 / 100

Sampled 9 times: 3 of 3 configured feeds healthy; 100.0% of scheduled trips had live predictions; 100.0% of vehicles on their route; predictions ran a median of 0s behind schedule.

Routes and stops

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

This feed has 1154 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.

  • 下高野線 (green)
  • 小奴可線(粟田) (green)
  • 高速:東城~庄原線 (green)
  • 高野線 (green)
  • 敷名廻神線/上田小線 (green)
  • 小奴可線(日野原) (green)
  • ひまわりバス (green)
  • 県大線 (green)
  • 三良坂線 (green)
  • 三城線 (green)
  • 湯木線 (green)
  • 三次吉田線 (green)
  • 三次市内線 (green)
  • 三城線(西城~庄原) (green)
  • 本村線 (green)
  • 作木線 (green)
  • 敷名線 (green)
  • 高速広島線 (green)
  • 高速広島線 (green)
  • 高速広島線 (green)
  • 高速広島線 (green)
  • 高速広島線 (green)
  • 高速広島線 (green)
  • 高速広島線 (green)
  • 高速広島線 (green)
  • 赤名線 (green)
  • 畠敷線 (green)
  • 高速:庄原~広島線 (green)
  • ★備後落合駅前→東城駅前 (green)
  • 東城駅前→★備後落合駅前 (green)
  • 東城駅前→★備後落合駅前 (green)
  • ★備後落合駅前→東城駅前 (green)
  • 高田南部線 (green)
  • ★備後西城駅→庄原駅 (green)
  • 庄原駅→★備後西城駅 (green)
  • ★備後西城駅→庄原駅 (green)
  • ★備後西城駅→庄原駅 (green)
  • 庄原駅→★備後西城駅 (green)
  • 庄原駅→★備後西城駅 (green)
  • 東城市街地循環バス (green)
  • 保田線 (green)
  • 三良坂実留線 (green)
  • 高速:三次~広島線 (green)
  • 赤名線 (green)
  • 赤名線 (green)
  • 三城線 (green)
  • 比和バイパス→庄原駅 (green)
  • 高野線 (green)
  • 口和線 (green)
Routes in Bihoku Kotsu (備北交通)'s feed
RouteTypeLine color
下高野線Busgreen
小奴可線(粟田)Busgreen
高速:東城~庄原線Busgreen
高野線Busgreen
敷名廻神線/上田小線Busgreen
小奴可線(日野原)Busgreen
ひまわりバスBusgreen
県大線Busgreen
三良坂線Busgreen
三城線Busgreen
湯木線Busgreen
三次吉田線Busgreen
三次市内線Busgreen
三城線(西城~庄原)Busgreen
本村線Busgreen
作木線Busgreen
敷名線Busgreen
高速広島線 桜花の郷ラフォーレ庄原→広島駅新幹線口Busgreen
高速広島線 広島駅新幹線口→桜花の郷ラフォーレ庄原Busgreen
高速広島線 東城→ノン・五日市→新幹線Busgreen
高速広島線 新幹線→ノン・五日市→東城Busgreen
高速広島線 帝釈→ノン・五日市→新幹線Busgreen
高速広島線 新幹線→ノン・五日市→帝釈Busgreen
高速広島線 東城駅前→広島駅新幹線口Busgreen
高速広島線 広島駅新幹線口→東城駅前Busgreen
赤名線Busgreen
畠敷線Busgreen
高速:庄原~広島線Busgreen
★備後落合駅前→東城駅前Busgreen
東城駅前→★備後落合駅前Busgreen
東城駅前→★備後落合駅前Busgreen
★備後落合駅前→東城駅前Busgreen
高田南部線Busgreen
★備後西城駅→庄原駅Busgreen
庄原駅→★備後西城駅Busgreen
★備後西城駅→庄原駅Busgreen
★備後西城駅→庄原駅Busgreen
庄原駅→★備後西城駅Busgreen
庄原駅→★備後西城駅Busgreen
東城市街地循環バスBusgreen
保田線Busgreen
三良坂実留線Busgreen
高速:三次~広島線Busgreen
赤名線 赤名→ゆめランド布野Busgreen
赤名線 ゆめランド布野→赤名Busgreen
三城線 庄原駅→三次駅前Busgreen
比和バイパス→庄原駅Busgreen
高野線 庄原駅→比和(バイパス)Busgreen
口和線Busgreen
List every stop
  • 中筋駅
  • 中筋駅
  • 広島駅新幹線口
  • 広島駅新幹線口
  • 女学院前
  • 大塚駅
  • 大塚駅
  • 沼田PA
  • 沼田PA
  • 久地
  • 久地
  • 広島北インター
  • 広島北インター
  • 千代田IC
  • 千代田IC
  • 美土里
  • 美土里
  • 高宮
  • 高宮
  • 三次駅前
  • 三次駅前
  • 三次駅前
  • 三次駅前
  • NTT前
  • NTT前
  • 三次市役所
  • 三次市役所
  • 巴橋
  • 巴橋
  • 巴橋西詰
  • 巴橋西詰
  • 稲荷町
  • 稲荷町
  • 三次小学校前
  • 三次小学校前
  • Aシティ中央
  • Aシティ中央
  • 沼田料金所前
  • 沼田料金所前
  • 新白島駅
  • 新白島駅
  • 合同庁舎前
  • 和知
  • 和知
  • 庄原中学校前
  • 庄原中学校前
  • 庄原中学校前
  • 庄原中学校前
  • 庄原駅
  • 庄原駅
  • 帝釈BS
  • 帝釈BS
  • 東城小学校前
  • 東城小学校前
  • 東城小学校前
  • 東城小学校前
  • 東城駅前
  • 東城駅前
  • 東城駅前
  • 備北丘陵公園
  • 可部中央
  • 可部中央
  • 可部上市
  • 可部上市
  • 可部中学校前
  • 可部中学校前
  • 南原口
  • 南原口
  • 土居橋
  • 土居橋
  • 下町屋
  • 下町屋
  • 三入
  • 三入
  • 町屋記念碑
  • 町屋記念碑
  • 町屋
  • 町屋
  • 上町屋
  • 上町屋
  • 大林二丁目
  • 下大林
  • 下大林
  • 洞庭
  • 洞庭
  • 大林
  • 大林
  • 大杉
  • 大杉
  • 下浜が谷
  • 下浜が谷
  • 上根バイパス
  • 上根バイパス
  • 吉田
  • 吉田
  • 吉田2丁目
  • 吉田2丁目
  • 吉田税務署前
  • 吉田税務署前
  • 青迫
  • 青迫
  • 吉田病院
  • 吉田病院
  • 安芸高田市役所
  • 安芸高田市役所
  • 新町下
  • 新町下
  • 安芸高田警察署
  • 安芸高田警察署
  • 吉田出張所
  • 吉田出張所
  • 大浜
  • 大浜
  • 内堀
  • 内堀
  • 大江橋
  • 大江橋
  • 四軒屋
  • 四軒屋
  • 高屋
  • 高屋
  • 高屋大橋
  • 高屋大橋
  • 甲立駅口
  • 甲立駅口
  • 甲田小学校
  • 男山神社前
  • 道木
  • 道木
  • 下甲立
  • 下甲立
  • 上深瀬
  • 上深瀬
  • 深瀬
  • 深瀬
  • 下深瀬
  • 下深瀬
  • 川地中学入口
  • 川地中学入口
  • 大鳥公園前
  • 大鳥公園前
  • 秋町
  • 秋町
  • 志和地
  • 志和地
  • 青河
  • 青河
  • 青河橋
  • 青河橋
  • 船所
  • 船所
  • 船所
  • 大村
  • 大村
  • 粟屋
  • 粟屋
  • 三次ロッジ口
  • 三次ロッジ口
  • 胡町
  • 胡町
  • 西町
  • 西町
  • 三次もののけミュージアム
  • 三次もののけミュージアム
  • 上原西
  • 上原西
  • 岡竹口
  • 岡竹口
  • 岡竹口
  • 南畑敷町
  • 南畑敷町
  • 南畑敷町
  • 南大下
  • 南大下
  • 南大下
  • RCC中継所前
  • RCC中継所前
  • RCC中継所前
  • 水明園前
  • 水明園前
  • 水明園前
  • 麻原
  • 麻原
  • 麻原
  • 畠敷
  • 畠敷
  • 畠敷
  • 塩迫
  • 塩迫
  • 塩迫
  • 四十貫
  • 四十貫
  • 四十貫
  • 上四十貫
  • 上四十貫
  • 上四十貫
  • 上四十貫
  • 下和知
  • 下和知
  • 下和知
  • 和知駅口
  • 和知駅口
  • 和知駅口
  • 和知
  • 和知
  • 和知
  • 尾引坂
  • 尾引坂
  • 尾引坂
  • 尾引
  • 尾引
  • 水越口
  • 水越口
  • 水越口
  • 山内学校前
  • 山内学校前
  • 山内学校前
  • 山内駅口
  • 山内駅口
  • 山内駅口
  • 長橋
  • 長橋
  • 長橋
  • 本郷口
  • 本郷口
  • 本郷口
  • 七塚原口
  • 七塚原口
  • 七塚原口
  • 熊野口
  • 熊野口
  • 熊野口
  • 上原学校前
  • 上原学校前
  • 三日市
  • 三日市
  • 三日市
  • 格致高校入口
  • 格致高校入口
  • 格致高校入口
  • ジョイフル
  • ジョイフル
  • ジョイフル
  • ジョイフル
  • ジョイフル
  • ジョイフル
  • ジョイフル
  • ジョイフル
  • ジョイフル
  • ジョイフル
  • and 904 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

16 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)

  • Warning19354 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)

  • Warning1154 instances

    1154 of 1154 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)

  • Warning639 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)

  • Warning614 instances

    614 of 614 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)

  • Warning541 instances

    541 of 614 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)

  • Warning68 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)

  • Warning8 instances

    Some stops sit far from the route line they belong to.

    Trip planners may draw the bus route through the wrong streets or point riders to the wrong corner.

    Fix: Check the flagged stops' coordinates and the route shape in your scheduling software; re-snap whichever is misplaced. (A few minutes per flagged stop.)

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

  • Warning6 instances

    Two or more routes share the same name.

    Riders can't tell the routes apart in apps.

    Fix: Give each route a distinct short or long name. (One field per route.)

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

  • Warning6 instances

    The feed contains route shapes no trip uses.

    Harmless to riders, but it bloats the feed and suggests stale export data.

    Fix: Turn on 'remove unused shapes' (or the like) in your export tool. (One setting.)

    Finding code: unused_shape · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules 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

    Some stops exist in the feed but no trip ever stops at them.

    Riders may walk to a stop where no bus is scheduled to arrive.

    Fix: Remove retired stops from the export, or add them back to the trips that should serve them. (A review pass in your scheduling software.)

    Finding code: stop_without_stop_time · Read the fix guide · 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)

  • Info8 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)

  • 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 129 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.

Can riders use it?

Checks beyond structural validation: places where the feed is valid but a rider still could not travel.

  • 1 of 1154 boardable stops are never served by any trip. Riders see these stops in apps and on the map but can never catch anything there, which erodes trust in the data. Remove stops no route serves, or add the trips that should call at them.

These do not change the grade. They catch trips with no rideable leg and stops no trip serves, the kind of gap a trip planner trips over.

Realtime reliability

The realtime feed responded on 100.0% of 7 checks over the last 1 day, with 14s median lag.

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

Live predictions vs schedule

Arrival predictions ran right on the schedule, and stayed within 0s nine times in ten. They were on time (about a minute early to five late) 100.0% of the time. 100.0% of reported vehicle positions sat on or near the published route shape.

From the last full realtime sample: how far live arrival predictions sat from the schedule, and whether vehicle positions fell on the route. These feed the realtime score; they change no other category.

Clears the Google and Apple Maps four-week coverage bar. This feed has 129 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 36 / 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 39 / 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.

Bihoku Kotsu (備北交通) GTFS data quality grade: D

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/bihoku-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.