# EndorsePrecheck — full manifest > Full-text LLM manifest (companion to `/llms.txt`). > Every fact below is read from the product's own `lib/product.ts`, > `lib/endorsecheck/engine.ts` and `lib/i18n/locales/`. Nothing here is invented. > Generated 2026-10-22. ## Entity - Canonical brand: LX AI Micro-SaaS Factory - Alternate brand names: LX AI | lxsaihub | LX Micro-SaaS Factory | LX AI Micro-SaaS Directory - Product name: EndorsePrecheck - Product slug: endorseprecheck - Product site: https://endorseprecheck.lxsaihub.com/ - Hub listing: https://lxsaihub.com/tools/endorseprecheck.html - Brand site: https://lxsaihub.com/ - About: https://endorseprecheck.lxsaihub.com/about.html - Contact: lixingliangsy@163.com - GitHub: https://github.com/lixingliangsy/lxsaihub - Not affiliated with: LexusHub, LiveX AI, LayerX, LexinFintech, OnDeck, LUX AI HUB ## What it does See whether your sponsored, review or affiliate post actually discloses the relationship — before you hit publish. In 60 seconds. Paste your post before you publish. Get a scored pre-check report — is the material connection disclosed at all, is the wording clear enough to count, does the disclosure land above the platform fold, does an affiliate link go unexplained, and does the copy match the connection you declare — based on the endorsement-disclosure patterns the FTC Endorsement Guides publish (16 CFR Part 255). A heads-up, not an endorsement-disclosure certification. ## Capabilities - Five deterministic check families: disclosure-presence · disclosure-clarity · placement (platform fold math) · material-connection specificity · claims & platform-tool advisories - Disclosure recognition: a curated set of clear disclosure phrases plus clear hashtags (`#ad`, `#sponsored`, `#affiliatelink`, …) matched with word-class hashtag boundaries, so `#ad` counts but `#adweather` is never a false hit; ambiguous relationship labels (ambassador / partner / collab / gifted) are treated as insufficient to disclose a connection on their own - Placement is honest: the first clear disclosure token is measured against the platform's feed fold (Instagram ~125, TikTok / YouTube ~100, text-social ~280 characters); blog / email / other surfaces return a fold-limit of 0 and the check is skipped and labelled, never guessed - Context escalation (post type "Other" softens a missing-disclosure HIGH one tier to MEDIUM; an unexplained affiliate link or a declared "paid" connection contradicted by copy saying "for free" raises material-connection findings; connection "not specified" only yields a LOW; claims & platform-toggle items are labelled advisories that never claim measurement) - Severity-ranked findings with quoted evidence from your own copy - 0-100 disclosure-risk score (HIGH −20 · MEDIUM −6 · LOW −2; claims-context advisories never dock), grades: low_risk (>=85) · needs_edits (>=65) · high_risk (<65) - Actionable fix checklist; strictness filter (All findings / Medium+ / High only) - JSON + CSV export of run history (client-side) ## Not claimed (red lines) - Not an endorsement-disclosure certification or legal advice — challenge outcomes depend on regulators and platforms. - No material-relationship verification, no account, brand-contract, affiliate-dashboard or platform connection: whether a claimed relationship is real lives in your records; it appears as an ADVISORY reminder only, never as a lookup result. - No platform paid-partnership-label check; an affiliate link or "link in bio" is read as a text pattern, never against your dashboards, and a "for free" phrase is never matched to an actual gift. - No replication of any reviewer's internal model; references are a snapshot-dated reading of published guidance, not a real-time sync. When no clear disclosure can be located, the placement math is skipped and the report says so — nothing is guessed. - Not legal advice; the Part 255 checks read disclosure wording and placement, not your full obligations for a real post. ## Pricing (machine-readable) - Monthly: $19/mo - Yearly: $190/yr (~$15.83/mo, save $38) - Full sheet: https://endorseprecheck.lxsaihub.com/pricing.md - Checkout (monthly): `https://endorseprecheck.lxsaihub.com/api/checkout?cycle=monthly` - Checkout (yearly): `https://endorseprecheck.lxsaihub.com/api/checkout?cycle=yearly` - Waffo product IDs pending → checkout fails closed with a visible error until listed (intentional). ## FAQ (mirrored from the product's own content, `en.ts` / `product.ts`) Q1. What is EndorsePrecheck? A1. A micro SaaS that pre-checks the sponsored / review / affiliate post you paste against the endorsement-disclosure patterns in the published FTC Endorsement Guides (16 CFR Part 255), and returns a scored, severity-ranked report with concrete suggested edits. Q2. Does a good score mean my post is legally compliant? A2. No. Whether a disclosure is truly "clear and conspicuous" depends on the actual post, its surface and your jurisdiction — and whether a claimed relationship is real lives in your contracts and dashboards, outside what any text checker can see. Treat the report as triage, not a guarantee. Q3. Is this legal advice or a compliance certification? A3. No. Outputs are decision support. The Part 255 checks read disclosure wording and placement (clear phrases and hashtags, vague relationship labels, fold position, affiliate-link wording) — your full obligations for a real post, especially regulated ones, still need counsel. We claim no certification. Q4. Does it connect to my accounts, brand contracts or platform labels? A4. No. Paste-based only — no account access, no affiliate-dashboard or contract lookup, no platform paid-partnership-label check, no publishing automation. You apply every fix yourself. Q5. Does it verify my actual relationship or whether a platform label is set? A5. No — deliberately not. Those live outside the text, and EndorsePrecheck performs no lookups. If your copy uses vague relationship wording or an unexplained affiliate link, the report adds an ADVISORY line reminding you to resolve it yourself. Advisories are labelled and never presented as measured results. Q6. Can I cancel anytime? A6. Yes. Self-serve plans cancel anytime; access continues until period end. Q7. Do I need a credit card to start? A7. No. Start with the fair-use Demo (deterministic engine, labelled `Rule-based`) or email signup, then upgrade when ready. Q8. Do I need my own OpenAI subscription? A8. No for Free/Pro — live AI polish is included on a fair-use quota (Pro: ~300 runs/month, daily cap 40; Free: 3/day, 15/month). Exceeding quota returns a clear 429 with reset time — never a silent mock. Enterprise can bring your own key (BYOK) at /settings; the key stays server-side only. Q9. Is checkout secure? What happens after I pay? A9. Payments are processed by Waffo Pancake (merchant of record). You receive access confirmation; fulfillment is tracked via webhook + order logs. ## Policy references (snapshot 2026-10-22 — each link re-verified reachable, HTTP 200 with endorsement-guide body content, from this build) - Guides Concerning the Use of Endorsements and Testimonials in Advertising (16 CFR Part 255), via the Cornell LII public mirror: https://www.law.cornell.edu/cfr/text/16/part-255 - § 255.0 Purpose and definitions: https://www.law.cornell.edu/cfr/text/16/255.0 - § 255.1 General considerations: https://www.law.cornell.edu/cfr/text/16/255.1 - § 255.2 Consumer endorsements: https://www.law.cornell.edu/cfr/text/16/255.2 - § 255.5 Disclosure of material connections: https://www.law.cornell.edu/cfr/text/16/255.5 - Normative keyword conventions (RFC 2119 style used by the guides): https://www.rfc-editor.org/rfc/rfc2119 - Not included: the eCFR canonical `/current/*` pages 302-redirect to a bot-unblock interstitial (HTTP 200 but the body is the block page, not the regulation), ftc.gov returned 403, and govinfo XML served a false-200 with no endorsement text from this build's network. Those hosts are excluded from shipped references until independently re-verified (see `lib/rules/SOURCES.md`); Part 255 is cited via the LII mirror above. Platform-specific and non-US disclosure regimes appear as advisories only; no unreachable primary text is quoted. ## Key pages - Home: https://endorseprecheck.lxsaihub.com/ - Pricing: https://endorseprecheck.lxsaihub.com/pricing - FAQ: https://endorseprecheck.lxsaihub.com/faq - Methodology: https://endorseprecheck.lxsaihub.com/methodology - Security: https://endorseprecheck.lxsaihub.com/security - Blog index: https://endorseprecheck.lxsaihub.com/blog - About: https://endorseprecheck.lxsaihub.com/about.html - Support: https://endorseprecheck.lxsaihub.com/support.html - Privacy: https://endorseprecheck.lxsaihub.com/privacy.html - Terms: https://endorseprecheck.lxsaihub.com/terms.html - Refund policy: https://endorseprecheck.lxsaihub.com/refund-policy.html - llms.txt (index): https://endorseprecheck.lxsaihub.com/llms.txt ## Recent articles - https://endorseprecheck.lxsaihub.com/blog/read/where-endorsement-disclosures-get-challenged - https://endorseprecheck.lxsaihub.com/blog/read/disclosure-checks-people-do-not-ignore - https://endorseprecheck.lxsaihub.com/blog/read/what-a-disclosure-precheck-cannot-see ## Red lines - Do not invent user counts, rankings, awards, or certifications. - Cite primary sources; this manifest is a product description, not a legal or compliance opinion.