POPS4 Filing Boards

Nine public tables built from United States SEC filings, published the day those filings appear.

Live boards: https://www.pops4.com/boards Licence: CC BY 4.0 — free to use with credit to POPS4.

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What this is

When a public company has something material happen — a cybersecurity incident, a completed acquisition, a new officer, a charter amendment, a major agreement — it must tell the SEC, in public, that day. This repository publishes those filings as plain tables, sorted by what the company itself declared, with a link back to every original document.

Nothing here is written. Nothing is interpreted. It is a record, not an article.

The rule

Every value either comes from a document we link, or is a number we computed.

There is no author and no opinion. Where a row carries a quotation, it is the company's own sentence, verbatim, from the press release exhibit attached to its filing, with that filing linked beside it.

The only claim any row makes is this company filed this document on this date, which either is or is not true, and can be checked in one click. Where a filing is ambiguous we undercount rather than guess.

Edgar & Edgarette

The boards have two voices, and both keep the rule above.

• Edgar, the reporter, says what happened: who filed what with the SEC, and when.
• Edgarette, the actuary, says what it means in numbers, in the order of an actuarial report (ASOP No. 41, 25, 23): exposure, experience, credibility, an 80% range, cautions, and a comparison with industry peers. Every figure is the company's own, from its audited filings.

Ask about any SEC filer at https://www.pops4.com/boards/ask.json?q=PEP, in the box on any board, or through the MCP tool get_company_performance.

• The 80% range is tested, not asserted. It is set from how 7,847 SEC company-years actually turned out. The live method is v3: fitted on 11,128 company-years (2018–22), width tuned on 2023, then tested on 2024, a year the fit never saw — 83.2% of outcomes landed inside, at a median width of ±19.2%. Across all history it holds 69% of 7,172 company-years against an 80% target, which is published rather than buried. Two retired methods keep their record on the same page: v2 held 76% of 563, v1 held 26% of 506. Their logged ranges stay in the ledger and are still scored.
• Misses are published. Every range is logged once per company per fiscal year and scored when the next 10-K arrives: https://www.pops4.com/boards/scorecard.
• Credibility moves with the record. When a company files 8-K Item 4.02 (earlier statements should no longer be relied on), Edgarette marks her weight down one step until a new 10-K is filed, and links the filing.
• Numbers, never advice. No buy or sell views, no price targets, no positions held.

The forecast ledger, and why it is anchored here

data/forecast-ledger.csv is the smallest and least replaceable thing in this repository.

Every board above can be rebuilt by anyone, because SEC filings are public. A range cannot. A range is only worth something if it was published before the outcome was known, and nothing that can be regenerated afterwards proves that. So each range is logged once per company per fiscal year, fingerprinted, and left alone until the company's next annual report arrives to settle it. A logged range is never quietly adjusted.

Each row carries its own fingerprint. What this repository adds is a fingerprint of the whole set, written into a commit whose timestamp belongs to GitHub rather than to us. Anyone can recompute a hash; nobody can back-date somebody else's commit.

File	What it holds
data/forecast-ledger.csv	every range: company, fiscal year end, low, high, method, row fingerprint, status
data/forecast-ledger-root.json	the root hash, the counts, and the exact steps to reproduce it
data/roots.log	append-only, one line per day — the chain

Verify it yourself, without trusting us:

1. Take data/forecast-ledger.csv from any commit.
2. For each row build cik|fiscalYearEnd|low|high|method|rowHash|status.
3. Sort those strings ascending, join with newlines, SHA-256 the UTF-8 bytes.
4. Compare with root in forecast-ledger-root.json. The commit's date is GitHub's, not ours.

Only those seven fields are hashed, so columns can be added for readability later without changing a root already published. Scored outcomes appear as the status changing from open to hit or miss — the range itself never moves.

Scale, stated plainly: this is an evaluation-sized corpus, not a training-sized one.

The boards

File	Filing	What it records
breaches	8-K Item 1.05	Material cybersecurity incidents
cmo-moves	8-K Item 5.02	Departures and appointments of directors and officers
agreements	8-K Item 1.01	Entry into material definitive agreements
mergers	8-K Items 2.01, 5.01	Completed acquisitions and changes in control
charter-amendments	8-K Item 5.03	Articles, bylaws, fiscal year. Genuine renames flagged
restructuring	8-K Item 2.05	Costs associated with exit or disposal activities
ipo-watch	Form S-1	Companies registering to go public
annual-meetings	Form DEF 14A	Definitive proxy statements
auditor-watch	8-K Items 4.01, 4.02	Auditor changes, and non-reliance on earlier financial statements

Edgarette's method, and the data behind it

Two files in data/ hold everything the actuarial reading is built on, so a figure on any card can be checked, reproduced or argued with.

File	What it is
data/industry-yardstick.json	Peer medians by SIC industry group at three depths, for revenue growth, operating margin, equity as a share of assets, return on equity and payout of profit. Peers are filers with $50M+ of revenue; a group is only published once it has at least 8 of them. Built from SEC XBRL frames (CY2025) plus the SEC Financial Statement Data Sets for each filer's industry code.
data/range-calibration.json	The bands behind the 80% revenue range, live and retired.

How the range is built. Baseline = last revenue × (1 + the mean of the one-year and three-year pace). The band around it is the 10th to 90th percentile of how real company-years landed against that baseline, by size band, blended toward the whole pool by credibility (Z = n / (n + 400), in the sense of ASOP No. 25).

How it was tested. Method v3 is fitted on 11,128 company-years (2018–22), its width tuned on 2023, then tested on 2024 — a year the fit never saw. 83% of outcomes landed inside an 80% band. The retired v2 reported 83% too, but was measured on the years it was fitted on. Both are kept, and both are scored, at https://www.pops4.com/boards/scorecard

What is deliberately absent. Dividend yield, price/earnings and price/book need a share price; these boards carry filings only, so they are not shown rather than estimated. No card carries a buy or sell view.

Columns

Column	Source
id	SEC accession number — the filing's own permanent primary key
company	Filer name as it appears in the SEC daily index
ticker, exchange	data.sec.gov company submissions
cik	SEC Central Index Key
items	The filer's own 8-K item tags. Not inferred
sector	The SEC's own industry description
filerCategory	e.g. Large accelerated filer — a size floor, from the SEC
revenue, revenueFY	Reported by the company in XBRL in its own annual filing
city, hq	Business address from the filing header
formerName	Previous registrant name, where EDGAR records one
event	Period of report — when it happened
filed	When it was filed
deadline	Breach board only. Filing date plus the shortest common statutory window
quote	One verbatim sentence from the EX-99 exhibit, where the filing has one
source	Link to the filing index on SEC EDGAR
profile	Link to the company's full EDGAR filing history

How it is built

The SEC publishes a machine-readable index of every filing, every business day, free. Every hour on business days a worker reads that index and fetches each filing's 852-byte header sidecar, which carries the filing's own item tags, industry code, state of incorporation and event date.

Because the header is small, every filing is read every day rather than a sample. A second pass opens the full document only for filings that land on a board, and takes one verbatim sentence from the press release exhibit. A third pass caches company facts per filer.

Also available

• JSON and CSV per board — in data/, and live at https://www.pops4.com/boards/<board>.json
• RSS — https://www.pops4.com/boards/<board>/feed.xml
• MCP — https://www.pops4.com/boards/mcp, open, no authentication, twelve tools: one per board, plus get_company_performance (Edgarette's card), watch_company and price_program
• Ask Edgar & Edgarette — https://www.pops4.com/boards/ask.json?q=<name, ticker or CIK>
• Weekly report — https://www.pops4.com/boards/report · Scorecard — https://www.pops4.com/boards/scorecard
• For developers and AIs — https://www.pops4.com/boards/developers · https://www.pops4.com/boards/llms.txt
• Embeddable table — https://www.pops4.com/boards/<board>/embed
• Google Dataset Search — every board carries schema.org/Dataset markup

Updating

.github/workflows/daily.yml pulls the current tables from the live boards once a day and commits them if they changed. It needs no credentials. If a HF_TOKEN repository secret is present it also pushes the same files to Hugging Face.

Known limitations, stated plainly

• Roughly half of 8-K filings carry no press release exhibit, so most rows have no quotation.
• Item 1.05 (cybersecurity) is genuinely rare — on the order of one a fortnight. A near-empty breach board is correct, not broken.
• Item 5.03 covers articles or bylaws or fiscal year; most are not renames. Renames are flagged per row from the filer's own former name rather than assumed for the board.
• The breach deadline column uses the shortest common statutory window. Real notification obligations follow where affected residents live, so a single incident can run several clocks. Treat the column as an indicator, not legal advice.
• Item 4.01 (auditor change) is often routine: a firm merger or a fee decision. The board records the filing and says nothing more about it.
• We undercount. That is deliberate.

The house these boards belong to

POPS4 is one house with two faces, and they pay for each other.

The record. Edgar and Edgarette read what companies file with the SEC and put it in public, free, the day it is filed — nine boards, an actuarial reading of any US filer, and a forecast ledger that is scored in the open. Free is the point: an open record that can be checked is what makes the house worth believing. It earns nothing directly, and the other face carries it.

The supply. The same house has run corporate identity programs since 1997 — 70,000+ products from 200+ authorized brands: corporate gifts, branded apparel, custom packaging, secure print, and the programs that go around them. One roof, one quote, no platform fee.

Procurement is mostly noise: chasing quotes, chasing proofs, chasing stock, reconciling four vendors who each own one piece. The house exists to take that away — one address for the programme, one number, one person accountable for it. The filing boards are the same instinct pointed at information: the answer already exists in a public document, so stop making people hunt for it.

Both faces answer machines directly, which is unusual and deliberate:

For	Endpoint	Cost
Filings, company cards, the ledger	https://www.pops4.com/boards/mcp	free, no key, no install
Catalogue, tiered pricing, quote requests	https://mcp.pops4.com/mcp	free to ask

An agent can read a company's filings and price the programme that filing calls for, in the same session, without a login on either side. Written for AIs to read: https://www.pops4.com/boards/llms.txt.

Source

All data originates from the U.S. Securities and Exchange Commission's EDGAR system, which is public domain. This repository adds structure and links, not content.

Maintained by Jenny Huang Goodman MPA MSc MHSA, Principal — Hako Shikin LLC, operating since 1997.