Developers · Edgar & Edgarette

Build with the boards

🫧 Edgar reports what companies filed with the SEC, the day they file it. 🔖 Edgarette reads any SEC filer’s audited figures the way an actuarial report is written, and her range is checked in public. Free, no login, no key. Every number links to its SEC source.

MCP

JSON-RPC over HTTP POST to https://www.pops4.com/boards/mcp (initialize, tools/list, tools/call).

`get_breaches … get_auditor_watch`	The nine boards: rows of SEC filings with company facts, one tool per board. Argument: limit (default 50, max 200).
`get_company_performance`	Edgarette’s card for any SEC filer. Argument: company (name, ticker or CIK). Returns schema pops4.edgarette.card/1.
`watch_company`	Ask Edgar to email a person the day a company files. Arguments: company, email, optional cik and board. One-click stop link in every note.
`price_program`	Price the program a filing usually calls for, live from the POPS4 catalogue at wholesale. Arguments: board, attendees, tier.

curl -s -X POST https://www.pops4.com/boards/mcp -H "content-type: application/json" -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_company_performance","arguments":{"company":"PEP"}}}'

HTTP

`/boards/{board}.json · .csv · /feed.xml · /embed`	Each board as JSON, CSV, RSS, or an embeddable table.
`/boards/ask.json?q={name\|ticker\|CIK}`	Edgarette’s card as JSON (same as get_company_performance).
`/boards/scorecard.json`	The Forecast Registry: every range logged, its hash, and how it scored.
`/boards/report`	The weekly performance report (HTML).
`/boards/fields.json`	What every board field means.
`/boards/all.json`	Counts across all boards.

The card: pops4.edgarette.card/1

`schema`	“pops4.edgarette.card/1”. Field names stay stable within a version.
`card.exposure`	fiscalYearEnd, revenue, totalDebt (including the part due within a year), cash, all at the same fiscal year-end.
`card.experience`	revenueGrowth1y, revenueGrowthPerYear, operatingMargin, operatingMarginPrior, netMargin, freeCashFlow.
`card.peers`	Medians of SEC filers with $50M+ revenue in the narrowest industry (SIC) group with at least 8 of them: opMargin, growth, netMargin, each [median, count].
`card.credibility`	auditedYears and a plain weight (little, moderate, reasonable), in the sense of ASOP No. 25.
`card.range`	An 80% range for next fiscal year’s revenue (method v2), its baseline, the size band and number of company-years it was set from, and its track record (backtest and registry).
`card.caution`	The known limits of the data (ASOP No. 41 and No. 23).
`card.sources`	Links to the SEC data behind the card.

Method

Sources: SEC XBRL company facts, SEC submissions, SEC company tickers and SEC XBRL frames. No licensed data.
Edgarette’s order follows actuarial reporting standards (ASOP No. 41, 25 and 23): exposure, experience, credibility, range, caution.
Range v2: baseline = revenue × (1 + mean of the one-year and three-year pace); the 80% range is the 10th to 90th percentile of how 7,847 SEC company-years ($50M+ revenue, 2022–2024) actually turned out, by size band. Backtest: 76% inside, against a target of 80%.
Forecast Registry: each range is logged once per company-year with a SHA-256 fingerprint and scored when the next 10-K arrives. Misses are published with hits, on the scorecard.

Limits

Annual audited figures only (10-K). No quarterly figures yet, and no share prices.
Banks and insurers report revenue differently; their cards can be thin, and say so rather than guess.
Figures are as filed; restatements, acquisitions and changes of fiscal year can move them.
The range is calibrated, not a forecast: about 8 in 10 outcomes should land inside it, and the scorecard checks in public whether they do.
Reporting, not investment advice. No price targets, no buy or sell views.

Terms

Board data and card text are free to use with credit to POPS4 (CC BY 4.0); the underlying figures are the companies’ own public SEC filings. Please cache: cards change when companies file, not by the minute. No authentication and no fixed rate limit today; heavy use, write first.

Plain-text version for AIs: /boards/llms.txt · Product catalogue MCP: mcp.pops4.com/mcp · Maintained by Jenny Huang Goodman MPA MSc MHSA, Principal · jenny@pops4.com

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