Sharpread
Summary
LLMs will invent revenue figures with the same confidence they cite real ones — and when you're vetting a position from a 10-K, a hallucinated number is worse than no number at all. Sharpread separates the two problems: AI reads the language, SEC XBRL data supplies every figure.
The core workflow is a single ticker input that returns a tear sheet covering red flags with verbatim filing quotes, XBRL-sourced financials, and a verdict. Every flagged claim links directly to the highlighted paragraph on EDGAR — so you can verify the citation in seconds rather than hunting through a 200-page PDF. The narrative drift feature lets you backtrack across quarters to see which risk disclosures were quietly dropped or softened. The ceiling arrives when you need to interrogate something outside the 10-K and 10-Q universe or run analysis at scale — the free tier caps at 10 lifetime analyses, and the paid tier is capped per month with top-up credits available.
Bottom line: Use Sharpread to pressure-test a long thesis against SEC filings before you size a position; plan a different workflow if you need bulk screening across a large universe or analysis of filing types beyond 10-K, 10-Q, and 8-K.
Pricing Plans
SubscriptionLast verified 2 weeks ago- Price
- $20/mo
- Free Tier
- 10 lifetime analyses
FREE
Run 10 free analyses. Enough to see QoQ work across two quarters.
- 10 lifetime analyses
- 10-K and 10-Q filings
- Complete tear sheet
- Hard financials via XBRL
- Red flags with direct-to-source EDGAR links
- Paragraph-level EDGAR verification
PRO
For active analysts and investors.
- 50 analyses every month
- Top-up credits ($5 for 15 more)
- Earnings call analysis (Q&A evasion detection)
- 8-K & Canary alerts (auditor exits, late filings, severity & signal)
- 7-day free trial
- 10-K and 10-Q filings
- Complete tear sheet
- Hard financials via XBRL
- Red flags with direct-to-source EDGAR links
- Quarter-on-quarter comparison
- Watchlist, catalyst calendar & filing email alerts
- Tear sheet & per-finding 'Share to X' social cards
- Shareable public links + newsletter embeds
- Paragraph-level EDGAR verification
TOP-UP
If you need more than 50 in a month.
- 15 extra analyses, one-time purchase
- Pro subscribers only
- Credits carry over. Never expire.
- No new subscription
- Same Stripe Checkout, one click
View full pricing on sharpread.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- XBRL-sourced financials pulled directly from SEC structured data, which means no AI-generated numbers appear in the output and you are not cross-referencing figures against the source filing to check if they exist.
- Paragraph-level EDGAR links on every red flag, so validating a cited risk takes seconds instead of a manual search through a multi-hundred-page filing.
- Quarter-on-quarter narrative drift tracking across historical filings, so you can see which risk disclosures were quietly softened or removed — the kind of edit that rarely triggers a news alert but often signals management repositioning.
- 8-K Canary alerts with automatic HIGH severity classification for auditor resignations and late filing notices, so material events surface to a watchlist before you catch them in a screener.
- Claude-powered language classification across MD&A and risk factors identifying hedge language and unsupported assertions, so the qualitative read is structured and comparable across filings rather than depending on how carefully you read on a given day.
Cons
Sign in to edit- Analysis volume is hard-capped by credit tiers — the free tier covers 10 lifetime analyses and the paid tier covers 50 per month with top-ups available. Teams running systematic screening across a large universe hit this ceiling immediately and have no API path to automate around it; at that point the workflow shifts to a data vendor with bulk EDGAR access.
- Coverage is limited to 10-K, 10-Q, and 8-K filings. Analysts who need proxy statement analysis, DEF 14A scrutiny for compensation and governance signals, or S-1 diligence on IPO candidates have no equivalent feature here and need a separate tool or manual review.
- There is no API and no self-hosted option, which means Sharpread cannot be embedded in an existing research workflow or internal tooling. Teams that need filing analysis integrated into a portfolio management system or Slack alerting pipeline are maintaining a parallel manual step indefinitely.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-24T06:22:56.784Z
Best For
Who it's for
- Active investors analyzing SEC filings
- Analysts needing EDGAR-verified evidence
- Users wanting XBRL-based financials without manual extraction
What it does well
- Review latest 10-K or 10-Q for red flags and language shifts
- Track management narrative drift across multiple quarters
- Monitor watchlist tickers for 8-K events with severity ratings
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Frequently Asked Questions
- Is Sharpread free?
- Sharpread has a permanent free tier alongside paid upgrades (paid plans from $20/mo). You can keep using a baseline version indefinitely without paying.
- Is Sharpread open source?
- No — Sharpread is a closed-source tool. Source code is not publicly available.
- What platforms does Sharpread support?
- Sharpread is available on: Web.
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Curated lists that include this category
Sharpread takes a ticker, pulls the corresponding 10-K or 10-Q from EDGAR, and returns a structured tear sheet inside 30 seconds. Financials come directly from the SEC’s XBRL structured data — the numbers the company itself filed — so no AI model is inferring or rounding a revenue figure. The language layer uses Claude to classify management text across risk factors and MD&A, flagging hedge language, defensive framing, and unsupported assertions. Every red flag surfaces with the verbatim sentence from the filing and a direct link to that paragraph on EDGAR.
The differentiating architectural choice is the hard separation between text analysis and number sourcing. The vendor’s stated reason for building Sharpread was a failure mode encountered with general-purpose LLMs: plausible-sounding revenue figures that did not exist in the filing. By routing all financial figures through XBRL and all citations through EDGAR paragraph links, Sharpread closes the hallucination path on numbers — if the source sentence is absent from the filing, the claim is dropped rather than generated.
For the 8-K monitoring feature, you add a ticker to a watchlist and receive an alert when an 8-K publishes, including severity, a signal summary, and the verbatim key quote. Auditor resignations and late filing notices are automatically classified as HIGH severity. The quarter-on-quarter narrative drift feature requires backfilling historical filings and shows exactly where language was added, removed, or toned down between reporting periods — which is the kind of signal that rarely appears in a screener but regularly precedes a guidance cut.
The tool does not expose an API and has no self-hosted option, so it sits outside any automated pipeline. Analysis volume is constrained by credit tiers rather than rate limits, and earnings call analysis with Q&A evasion detection is a paid-only feature.