Methodology
How the Humanoid Ledger is built, what each number measures, and what it cannot tell you. Last updated 2026-11-08.
1. 本站是什么
一本人形机器人的公开数据账本:核实过的规格、一条发布年表、官方视频,再加全网已分析的报道——以及由这些报道建起的三本账(宣称 vs 实测、评分、问题)。账本独立,与所列任何厂商均无隶属关系。记账的规矩很简单:有出处才记,没核实的宁可写“未公布”,也不猜一个数字上去。
2. Seed data — verified before entry
The 12 models, 31 release events and 8 official videos were each checked against a vendor page or a trade-press report before entry (seeded 2026-11-06). Every row carries its source link. Prices are vendor-published only: target prices, estimates and unconfirmed reports live in the notes field, never in the price column. Where a figure is unpublished or unverified, the cell says Not stated rather than a guess.
3. Live coverage — sources and the relevance gate
Hacker News (Algolia API), Google News RSS (with Bing News RSS as fallback when Google rate-limits the Worker egress), tech-blog RSS (The Verge, Engadget, Wired, TechCrunch, IEEE Spectrum, The Robot Report, PCMag, Tom’s Guide, 9to5Google, Road to VR, UploadVR), YouTube search pages, and Reddit via Google News. Ingest runs hourly. An item counts for a model only when its headline names the product — vendor + model where the name alone is ambiguous (e.g. “Apollo” only counts with “Apptronik”, “Digit” only with “Agility”, “Atlas” only with “Boston Dynamics”). Items that fail the gate are counted as skipped, not silently dropped.
4. Per-article analysis
Each article is analyzed once by Workers AI (Llama 3.1 8B, max 2048 tokens, JSON only): a 1–3 paragraph summary plus structured extraction — sentiment index, comparison, usage time, recommendation index, per-aspect scores, verifiable claims, issues, and the author’s verdict. The model is instructed never to invent numbers, quotes, durations or facts not present in the evidence; undeterminable fields are null, never invented.
5. Evidence checking (what survives, what is dropped)
Two hard guards run on every analysis before it is stored. First, a compared product is kept only if its name appears in the evidence text (title + snippet + body excerpt); anything else is dropped as model invention, and the compares-with flag is recomputed from the surviving list. Second, a verdict quote is kept only if the exact quote appears in the evidence text; otherwise it is stored as null. Aspect scores are restricted to eight aspects — locomotion, dexterity, battery, payload, autonomy, safety, software, price — each scored −100 to +100 only when the article actually discusses that aspect.
6. The scoring decision — what the three retained fields are, and are not
Decision (2026-11-07): the sentiment index (0–100), the recommendation index (0–100) and the author verdict (buy / wait / skip / mixed, with the author’s own words) are retained in full, in the article cards, in the metrics pages and in the three ledgers. They are kept because they measure the source content and its author — the stance of an article, and the conclusion its author reached — not this site’s judgement of any product. This site issues no rating, no ranking, no recommendation and no prediction of its own: there is no site score anywhere on the ledger, no “best model” list, and no verdict written by us. That is the whole of the exception, and it is the only exception: the general rule for this ledger is the same as the no-scores rule — record what happened, cite the source, add no judgement of our own. The three retained fields are presented with their provenance (which article, analyzed from snippet or full text, with what confidence), with nulls counted and never filled in, so a reader can always see how thin the underlying signal is — for example, the recommendation index is not determined in 308 of 329 analyzed articles, because most coverage is news, not a buying recommendation.
7. 三本账
宣称 vs 实测取每篇分析里的 key_claims;只有模型确实说出实测值时,宣称才带实测值列出(截至 2026-11-08,289 条宣称中有 55 条)。其余是厂商或来源的宣称,按原样记录——只列出,不作验证。评分汇总 sentiment_index 与 recommendation_index(分布、计数、仅对非空值取均值)以及作者结论计数。问题按 issues[] 的逐字相同聚类,再按型号分组。某型号在账里没有行,就写“无记录”,绝不写成 0。实时端点:/api/ledger/claims-vs-measured、/api/ledger/scores、/api/ledger/issues(均接受 ?model=<key>)。
8. Limitations — read before quoting a number
- Most analysis is snippet-based. As of 2026-11-08, 307 of 329 analyzed articles were analyzed from the title + snippet only (22 from full text). A snippet-based analysis can miss context the full article contains; analyzed_from is shown on every card.
- Hacker News is one narrow audience. HN mentions represent the English-speaking technical community only; they are not a proxy for the public, for buyers, or for non-English discussion.
- Coverage is a starting set, not the universe. The ledger tracks 12 models; our November 2026 audit identified roughly 135–145 distinct current humanoid models across trackers. Models outside the 12 are absent, not rated zero.
- News sources are rate-limited. Google News repeatedly rate-limits the Worker egress; the ingest falls back to Bing News RSS. Gaps in a day’s intake usually mean a source failed, not that nothing happened.
- Document archiving. Added 7 Nov 2026 — see §11. Vendor pages are now archived with SHA-256 dual fingerprints, a seal and a SimHash; changes are recorded from the baseline. One gap remains: the Tesla Optimus official page returns 403 to this fetcher, so it has no baseline yet.
- Price history, deployment data, safety/failure registry. Price history was added 7 Nov 2026 — see /history/ and §13 (8 dated, sourced price points; the G1 is the only model with a documented price change). Deployment counts and operating hours still appear only as notes; there is no structured recall or accident table.
- AI extraction is fallible. Claims, issues and aspect scores are model extractions from the evidence, guarded as described in §5 — but a guard can only check what is in the evidence text. Treat every extracted row as a pointer back to its source article, not as a verified fact.
9. Corrections
Errors are corrected in the open and logged here, not silently fixed.
- 2026-11-07 — Sanctuary AI Phoenix: status corrected from “research/pilot” to “legacy — pivoted to software-only (June 2026)”. The company stopped positioning the whole humanoid as its product in June 2026; the model page now says so and the June 2026 pivot is in the release timeline.
10. 归档——2026 年 11 月 7 日新增
Five vendor documents are archived as a baseline (Figure 03 announcement, Unitree G1 product page, Boston Dynamics Atlas product page, Agility Digit solutions page, 1X NEO order page), each with a SHA-256 fingerprint of the raw fetch and of the cleaned text, a 6-character seal and a 64-bit SimHash. The baseline is the first archived version; every later check compares the live document against it and records any change in doc_changes (currently 0 rows — 0 changes means nothing has changed since the baseline, not that nothing is watched). Live endpoint: /api/archive; page: /archive/. The Tesla Optimus official page could not be baselined: tesla.com returns 403 to this fetcher. It will be retried with a rendered fetch; until then it is listed on /archive/ as not baselined, not silently omitted.
11. 开放数据——2026 年 11 月 7 日新增
Every dataset behind this site is open JSON with no key. /data/ lists the catalogue with denominators and coverage; /api/open-data returns the same catalogue live, including a row count for every D1 table. Live endpoint: /api/open-data.
12. 二期表——持久表,2026 年 11 月 7 日回填
Four persistent tables were backfilled from the 330 analyzed articles (snapshot 7 Nov 2026, 20:10 EST) and are served live with a ?model= filter. experience_records (55 rows): every key_claim that carries a measured value, classified by metric (locomotion, dexterity, battery, payload, autonomy, safety, software, price, other) — the value is the number as stated in the article, not an independent lab measurement. review_scores (224 rows): one row per analyzed article that carries a sentiment index, a recommendation index or a verdict — metadata only (reviewer = article source, score / 100, date, URL, aspects tested), no quoted opinion text. failure_modes (93 rows): issues clustered per model by identical wording, with mention counts, first/last seen dates and up to 3 source URLs. resale_snapshots (1 row): the G1, with used_price_median NULL — no used-sold market exists for humanoid robots in any reachable public source (see §13). Live endpoints: /api/experience, /api/review-scores, /api/failure-modes, /api/resale.
13. 历史——过去、现在与未来三段完整,仍为 0 的项及原因
账本按历史、现在、未来三段完整记录,绝不以现在的 0 为起点、只等未来变化再记录。历史是基线,没有基线,未来变化就没有意义,所以每个维度都要按公开来源与已采文章所能及的范围回填。2026 年 11 月 7 日回填结果(330 篇已分析文章,2026-11-07 20:10 EST 快照)与已核实的公开记录:
- 宣称:回填 289 条(55 条带实测值,其中 6 条为上手实测)。问题:94 条。结论:224 行评分记录,112 行带有作者结论。价格:8 个有日期、有来源的价格点。发布:31 个事件,2019-02-19 – 2026-10-26。提及:28 个型号-月份,2026-09 – 2026-11。完整行:/api/history;页面:/history/。
- 价格史是唯一有明确变动的维度:宇树 G1 发布价 $16,000(2024 年 5 月)→ 2025 年 12 月 24 日前降至 $13,500,仅一次降价,以商店存档截图为界(2025-10-16 仍为 $16,000;2025-12-24 为 $13,500)。H1 约 $90,000 与 NEO $20,000 各有一个发布点与一个 2026-11-07 观测点,未见变动。其余 9 款型号没有公布价:未公布,不是 0,也不列价格行。
- 仍为 0 的项及原因。(1)二手成交价中位价:1 行二手快照中 0 行带中位价。人形机器人不存在二手成交市场——任何可及公开来源里都没有:eBay 上没有二手 G1 的成交记录,Swappa 上没有任何人形型号的产品页,也没有已公布的成交中位价。转售商报价存在(Maverick $17,363、RCSV $21,500),但那是全新机的要价,不是二手成交价,所以不记为中位价。下次快照时再试。(2)独立实验室测量:0。公开来源中没有本站口径的结构化独立实验室数据;55 条 experience_records 均为文章原话中的实测值,与实验室测量分开记、不混用。(3)4 款型号的问题记录为 0:Agility Digit 4、Boston Dynamics Atlas、Fourier GR-2、Unitree H1——没有已分析文章报告其问题,不等于测得零问题。(4)4 款型号的实测宣称为 0:Figure 03、Fourier GR-2、Sanctuary AI Phoenix、XPENG Iron——其已分析报道中的宣称均无实测值。(5)doc_changes:0 行——基线取于 2026 年 11 月 7 日,此后尚无变化;下次核查如有变化即记入。(6)Tesla Optimus 文档基线:0——tesla.com 对本站抓取返回 403;下次快照时以渲染抓取重试。
14. 来源
- Vendor pages and press releases (Tesla, Figure AI, Unitree, Boston Dynamics, Apptronik, Agility Robotics, 1X, Sanctuary AI, Fourier, XPENG).
- Trade press: The Verge, Engadget, Wired, TechCrunch, IEEE Spectrum, The Robot Report.
- Hacker News (Algolia API, public, no key), Google News RSS, Bing News RSS, YouTube search pages.