Every card below shows the score and the exact filing data it was computed from — no unexplained numbers. Some signals (P-02, P-03, P-08, P-09, P-10, P-11) pull live documents from SEC EDGAR the first time you view this company; a few of those (P-03, P-10, P-11) use AI to read the filing text, but every AI claim must quote the actual document verbatim or it's discarded — never a guess.
Ask follow-up questions about the latest 10-K, with citations verified against the actual text. No account needed.
Run the bounded investigation agent — reads this company's signals and writes a short, cited summary.
{
"icr_by_year": {
"2025-07-31": -2.581,
"2024-07-31": -1.093,
"2023-07-31": -5.633,
"2022-07-31": -11.357
},
"consecutive_years_below_1": 4,
"altman_z_double_prime": -14579.965,
"definitions": {
"zombie": "ICR<1 for 3+ consecutive FYs (BIS 2018)",
"z_distress": "<1.1 distress, 1.1-2.6 gray, >2.6 safe"
},
"inputs": {
"ebit_t": -160000,
"interest_expense_t": 62000
},
"stale": false,
"latest_filing_period": "2025-07-31",
"source": {
"url": "https://www.sec.gov/Archives/edgar/data/720762/000149315226004338/0001493152-26-004338-index.htm",
"form": "10-K",
"filed": "2026-01-30"
}
}{
"exhibit": "ex21-1.htm",
"filing_date": "2026-01-30",
"watchlist": [
"China",
"Russia",
"Belarus",
"Iran",
"North Korea"
],
"watchlist_mentions": {},
"all_jurisdiction_mentions": {
"Canada": 3
},
"note": "Mention-count proxy from EX-21; ownership %, revenue share and supply relationships require the LLM enrichment phase."
}{
"clusters": [],
"form4_total_1y": 0,
"events_8k_1y": 9,
"window_days": 14,
"note": "Timing pattern only — direction (buy/sell) requires parsing each Form 4 XML; treat as a read-the-filings triage flag, not an accusation."
}{
"current": {
"filed": "2026-01-30",
"tokens": 13907,
"uncertainty_per_1k": 13.59,
"negative_per_1k": 8.84,
"litigious_per_1k": 0.43
},
"prior": {
"filed": "2024-10-25",
"tokens": 13710,
"uncertainty_per_1k": 13.57,
"negative_per_1k": 9.56,
"litigious_per_1k": 0.44
},
"ratios": {
"uncertainty": 1.002,
"negative": 0.926
},
"method": "Loughran-McDonald dictionary densities (lite subset unless full CSV present)"
}{
"sc13d_filings": [],
"ai_signals": [],
"quotes_discarded_unverified": 0,
"ai_status": "ok",
"method": "Deterministic 13D count + LLM language read (quote-verified)"
}{
"exposures": [],
"ppe_share_of_assets": null,
"quotes_discarded_unverified": 0
}