Stockinsights earns 71/100 for making AI-assisted equity research legible and backing it with strong public documentation. Its main weakness is performance: CrUX p75 homepage data is healthy, while PSI mobile lab results expose a fragile critical path that slows the first experience.
Reviewed by SiteList Engine · 12 of 13 dimensions · published Reviewed on October 14, 2026
Is this your site?
Claim itStockinsights is an AI-assisted equity research product for US and India markets.
| Field | Value |
|---|---|
| Domain | stockinsights.ai |
| Category | AI-assisted equity research and public-company filing analysis |
| Pricing | Not established in the review inputs |
| Pages crawled | 40 |
| Crawl date | 2026-10-12 |
| Overall score | 71/100 |
Stockinsights gives prospective users a clear basic model: it searches filings and earnings transcripts, summarizes disclosures, monitors companies, and separates Product, API, and Solutions paths. That clarity is reinforced by a strong public documentation surface covering authentication, concepts, plugins, webhooks, and US and India endpoints.
The review's main constraint is execution consistency. Performance scores 58/100: CrUX field data for the homepage is healthy at p75 LCP 1.36s, INP 148ms, CLS 0.01, and TTFB 716ms, while PSI mobile lab runs expose a fragile critical path. Design execution scores 68/100, with touch-target and text-size issues in sampled mobile surfaces. Decision support scores 62/100 because the two-plan comparison gives prices, quotas, and CTAs but does not fully help visitors choose. Writing quality scores 61/100, reflecting broad AI language in conversion copy.
The result is a useful and credible product surface that would benefit most from a faster mobile first experience and more defended buying guidance.
StockInsights is legible as AI-assisted equity research for value investors and investment teams, but its hero serves several buying contexts at once. The headline, "Effortless Financial Research, Enhanced by Generative AI," is understandable yet category-generic; the sharper copy is "Deep dive into public company filings and earnings transcripts" and "Designed for value investors." The About page also names PMS firms, AMCs, wealth teams, research desks, quant and data teams. Firm logos and IFTA 2024 finalist recognition establish legitimacy, but the supplied pages do not attach a quantified outcome to them. Make the hero choose a primary buyer, then support it with one attributable workflow result.
A value investor can quickly understand that StockInsights searches filings and earnings transcripts, summarizes disclosures, and monitors companies. Professional buyers also have a credible route: About names PMS firms, AMCs, wealth teams, research desks, quant and data teams, while Pricing separates Product, API, and Solutions. The gap is routing, not basic comprehension. Pricing answers plan choice, API trials, markets, privacy, webhooks, and the non-advice boundary, but the sampled pages do not provide a direct comparison with manual research, a general AI assistant, or an incumbent market-data workflow. Add audience-led entry points for investor, research team, and developer/API, each with one concrete workflow example.
StockInsights is straightforward to orient: the homepage states the product and audience, while Pricing, Contact us, Blog, and API documentation are directly reachable. Pricing is one click away and exposes Free at $0/month and Pro at $17/month billed $200 yearly, though the supplied evidence does not state a team-size cue. Contact us presents support, API and integrations, security, and privacy requests through a five-field form. The main usability risk is execution at conversion: Get Started points to /us/ai-assist while separate sign-in and sign-up routes are also exposed, so the handoff is not confirmed. Mobile LCP is 10.4 s and Time to Interactive 11.8 s; verify the signup expectation and prioritize the hero path.
StockInsights has a solid accessibility baseline, with lang="en", labelled contact controls, autocomplete tokens, and focus-visible CSS in the supplied evidence. The highest-priority gap is the documentation search experience: two inputs are reported, with one lacking a label or ARIA name. The API reference also reports one missing image alt among three images. Fix the docs input and image alternative text first, then add the skip link, repair heading order, and add a non-color link cue.
The visual system is credible and consistent: the supplied review cites a dark theme with restrained green accenting, repeated cards, stable navigation, and a clear headline-to-CTA hierarchy. It also identifies the cost of those choices on mobile. Desktop composition is more comfortable, but the mobile surface needs a final detail pass. Raise small text, enlarge undersized targets, and retest narrow widths without letting the hero become taller.
Performance is the clearest execution gap because healthy field data sits beside a fragile mobile lab path. CrUX reports p75 LCP 1.36 s, INP 148 ms, CLS 0.01, and TTFB 716 ms, while the mobile lab reports LCP 10.4 s, FCP 3.1 s, Speed Index 5.8 s, and Time to Interactive 11.8 s. The difference means real visitors may be fine under some conditions while constrained first visits remain slow. Treat the mobile hero as the critical path: reduce render-blocking and unused JavaScript, defer below-the-fold media, and rerun the lab at the same viewport and network profile.
The strongest writing names real research work: "collecting filings, reading transcripts, checking disclosures" and making outputs reviewable before they are trusted. Documentation and newer workflow posts carry that specificity. Conversion copy is less distinctive, with broad AI wording such as "Effortless Financial Research, Enhanced by Generative AI" and a recurring pattern of capability claims without a concrete before-and-after. The supplied samples also report long single-paragraph blocks, including 402 homepage words and 1,673 article words in one paragraph; confirm the rendered DOM before treating that as a structural defect. Keep the workflow language, replace generic AI framing with a specific research outcome, and restore paragraph rhythm where confirmed.
The Product pricing surface gives visitors a usable starting comparison: Free is $0/month, while Pro is $17/month billed $200 yearly, with differences in summaries, search, SEC filings, watchlist alerts, and MCP/plugin access. The weakness is recommendation logic. The Pro card carries a Popular label, but the evidence does not say popular with whom or name the trade-off; the visible block also does not cover commercial/API use, overages, support, cancellation, or refunds. Replace the bare label with explicit, overridable guidance: Free for occasional research and Pro for recurring research, then state annual billing and the material limits beside each choice.
The supplied evidence does not show a measured sitewide visibility failure: the 40-page crawl reached the public surface, the sitemap was found, the synthetic 404 behaved correctly, and raw and rendered content matched.
The publishing system is competent but not fully gated. The crawl confirms a 404 at /introduction, while the homepage title and meta description are shared by 13 pages, including /support and /terms. The content is strongest when it names the workflow and trust boundary; older archive language such as "Exploring the Boundaries" and "Streamlining" is less distinctive. N1 reports one paragraph for 402 homepage words, 379 About words, and 1,673 article words, so confirm the DOM and restore section rhythm if reproduced. Give every page a topic-specific title and description, clear the dead route, and attach broad proof claims to named linked credentials.
StockInsights has a credible public API documentation system covering authentication, concepts, MCP and plugin guidance, webhooks, and US and India endpoint references. Sampled pages include sidebar navigation, breadcrumbs, code blocks, and TechArticle/BreadcrumbList markup; /llms.txt is 8,667 bytes and explains use cases, limitations, MCP endpoints, and the REST reference. Onboarding is the gap: the 304-word Introduction page has no code blocks, and the authentication evidence does not show an end-to-end request with an expected response. The sampled API pages also report hasSearchBox=false. Add a hands-on quickstart with one US and one India request, expected responses, and visible docs search.
The public surface is broadly crawlable and server-rendered: robots.txt allows normal crawling, the sitemap contains 24 URLs, raw and rendered text match across the crawl, and a synthetic nonexistent URL returns 404. Consolidate directly to https://www.stockinsights.ai/, restore or remove /introduction, verify the article's final 200 response, and clean image alternatives and titles. GSC is not connected, so traffic impact remains unmeasured.
Stockinsights is a credible fit for self-directed investors and professional investment, research, quant, and data teams that need public-company research workflows. The strongest evidence is the product's legible positioning, its 71/100 overall score, and substantial public documentation: visitors can understand the research job and find substantial public help.
Make the first mobile visit more robust by resolving the gap between healthy field metrics and the fragile mobile lab path. Strengthen the two-plan comparison with clearer guidance for different needs. Replace broad conversion language with more specific proof of the workflow and outcome.
At 71/100, this is a fair product with a clear foundation. The next gains are practical: make the first mobile visit more robust, then make plan choice and product proof more explicit.
This 13-dimension review uses the supplied crawl evidence and public dimension score table for Stockinsights. The site was crawled on 2026-10-12 across 40 pages. The review covers positioning, audience and messaging, usability, accessibility, design execution, performance, writing quality, decision-support surfaces, risk and stability, editorial QA, docs and self-serve help, and technical SEO.
Dimension 13, Review-content integrity, was excluded as not applicable. No Google Search Console connection or access was available in the supplied profile, so this review does not make GSC-based claims.
Read How SiteList scores for the framework and interpretation of the score.
Stockinsights is aimed at self-directed value investors and professional investment, research, quant, and data teams working with US and India public-company information.
It searches company filings and earnings transcripts, summarizes disclosures, monitors companies, and provides Product, API, and Solutions paths.
The crawl found public documentation covering authentication, conceptual guidance, MCP and plugin material, webhooks, and numerous US and India endpoint pages.
Performance is the clearest weakness: field data is healthy, but mobile lab runs expose a fragile critical path and a slower first experience.
The score comes from a 13-dimension SiteList review of 40 pages crawled on 2026-10-12. One dimension, review-content integrity, was not applicable.