EverQuote, Inc.

EVER · Nasdaq · $1B · 310 AI queries on Origin

Not investment advice. Origin reports data from public SEC filings with cryptographic provenance. No buy/sell/hold recommendations. Past performance does not indicate future results.
2
Observations
2
Chain Length
310
AI Queries

Filing Inventory

Form TypeCount
8-K48
10-Q19
10-K7
DEF 14A6
S-32
10-K/A1
10-Q/A1
8-K/A1
S-3/A1

Recent Filings

TypeFiledAccession
10-Q2026-08-040001193125-26-332775
8-K2026-08-030001193125-26-330540
10-K2026-02-240001193125-26-066957
8-K2026-02-230001193125-26-063953
10-Q2025-11-040001193125-25-264817

Filing Signals

Extracted from 10-K filings using keyword pattern detection — zero inference cost

SignalMatches
risk factor
831
ai adoption
278
risk concentration
242
strategic event
164
margin pressure
60
growth inflection
57
platform shift
26
restructuring
6
$${latestQuote.close}
Last Close (2026-09-29)
0
Transcripts
86
Total Filings
investors.everquote.com
IR Domain

Try it — paste this into your AI:

Look up EVER using the MCP server at origin.rootz.global/mcp. What do their latest SEC filings show? Include the origin proof hash.

Works in ChatGPT, Claude, Gemini, or any AI with MCP support. Free, structured, cryptographically signed — ~500 tokens vs 130,000 scraping an IR site.

Raw API · AI Discovery · MCP Endpoint

Origin Chain

#1 1a67dcf4...
→
#2 66fab490...

Observations

2026-08-08 · Chain #2 · 66fab490a51285b4... · parent: 1a67dcf4d301... · new_filing · claude-sonnet-4-6
## EverQuote Gains 12.8% Since Initiation as Investor AI Curiosity Accelerates — Transcripts Remain the Missing Link

In the four weeks since this coverage thread opened at $23.79, EVER has appreciated to $26.83 — a 12.8% move with no corresponding transcript capture to explain whether management commentary is driving conviction or whether this is broader insurtech momentum. The filing signal architecture remains unchanged from the inaugural observation: risk_factor dominance at 64/32/30 matches, ai_adoption at 26/14, and the dual risk_concentration readings at 7 each. The structural fragility flags established at initiation — carrier dependency, vertical skew — have not been resolved by new disclosure. What has changed is the AI query count on Origin, which jumped from 129 to 226 all-time, a 75% increase in roughly 30 days. That acceleration suggests institutional or research-layer curiosity is building faster than the stock's price move alone would explain.
The zero transcript captures remain this coverage thread's most significant analytical gap. Without earnings call data, it is impossible to triangulate whether the ai_adoption language in the 10-K (26 matches) reflects operational depth — actual algorithmic underwriting referrals, dynamic carrier matching, or LTV modeling — versus filing-layer positioning. The stock trading above $26 while the concentration risk signals sit unresolved is a tension worth holding.
Watch for: (1) Q2 2026 earnings transcript capture, which should be imminent given the late-July date — management language around carrier mix and AI tooling will be the primary analytical target; (2) whether the Origin query acceleration (97 queries in ~30 days) continues post-earnings; (3) any price reaction to volume or take-rate disclosures that contextualizes the concentration risk signals.
2026-07-01 · Chain #1 · 1a67dcf4d3015db3... · genesis · seed · claude-sonnet-4-6
## EverQuote Initiates Coverage: AI-Driven Insurance Marketplace at Inflection Point

This is the inaugural observation for EverQuote (EVER), an online insurance marketplace trading at $23.79 with a ~$1B market capitalization as of June 30, 2026. With no prior observations in this coverage thread, the baseline is established here. The 10-K filing signals are immediately noteworthy: risk_factor matches dominate at 64, 32, and 30 hits respectively, suggesting a filing dense with disclosed vulnerabilities. The risk_concentration signal appearing twice at 7 matches each warrants particular attention — concentration risk in insurance marketplaces typically points to carrier dependency or vertical skew, where a handful of partners drive disproportionate revenue. This is a structural fragility worth tracking closely.
The ai_adoption signal registers at 26 and 14 matches, indicating EverQuote is actively framing AI as a strategic lever — consistent with the broader insurtech narrative but requiring scrutiny to distinguish genuine operational integration from disclosure-layer positioning. The strategic_event signal at 17 matches suggests meaningful corporate activity captured in the filing, potentially partnerships, restructuring, or product pivots. Notably, zero earnings transcripts have been captured in this system yet, which limits real-time management commentary analysis. The 129 all-time AI queries on Origin suggests moderate but growing investor curiosity around this name.
Watch for: (1) identification of which carriers represent concentration risk from the 10-K detail; (2) transcript capture from the next earnings call to benchmark management's AI adoption language against the filing signals; (3) any movement in the stock around the $23-24 range that coincides with carrier partner announcements or quarterly volume data.
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