Text Analytics & Sentiment Analysis API | api.text2data.com

{
  "service_type": "platform",
  "base_url": "https://text2data.com",
  "auth_method": "api_key",
  "auth_config": {
    "parameter": "api_key",
    "location": "query_or_body",
    "notes": "api_key can be set to pre-authenticate requests; keys issued via account registration at /Account/Register"
  },
  "endpoints": [
    {
      "name": "Text Analytics / Integration (documented API v3.4)",
      "url": "https://text2data.com/Integration",
      "method": "GET/POST",
      "notes": "Documented API methods are listed and callable directly from this page. Path returned 404 at time of analysis; endpoint paths should be confirmed from the live documentation or account dashboard."
    }
  ],
  "pricing_model": {
    "type": "freemium",
    "details": {
      "trial": "Free tier / demo available",
      "entry_plan": {
        "name": "Explorer Plan",
        "price": "25.00",
        "currency": "USD",
        "billing": "subscription"
      },
      "notes": "Subscription-based SaaS with a free starting tier; pricing page at /Pricing"
    }
  },
  "rate_limits": {},
  "capabilities": [
    "Sentiment analysis",
    "Text analytics",
    "AI analysis using ChatGPT",
    "Document classification",
    "Data extraction",
    "Customer satisfaction reporting",
    "Classification model building (online tools)",
    "Extraction model building (online tools)",
    "Public classification models library",
    "Public extraction models library",
    "Twitter sentiment engine",
    "Excel Add-In (ChatGPT in Excel, Sentiment Analysis in Excel)",
    "Google Sheets add-on",
    "AI Document Creator",
    "Customer Experience Reporting",
    "REST-style API integration (v3.4)"
  ],
  "raw_analysis": "Text2Data is a commercial text analytics and sentiment analysis platform, not a developer-facing pure API. Its core offering is a subscription SaaS suite covering sentiment analysis, document classification, data extraction, customer experience/satisfaction reporting, and ChatGPT-based AI analysis. It targets analysts, marketers, CX teams, and knowledge workers rather than only backend engineers, which is reflected in its surface area: it ships native integrations with Excel (add-in) and Google Sheets (add-on), an AI Document Creator, and a customer experience reporting product, alongside a documented REST-style API (current version v3.4) intended for programmatic integration. Maturity: established and long-running \u2014 footer copyright spans 2014\u20132026, and the site claims an aggregate rating of 100 with 4,911 reviews (self-reported via schema.org markup, so treat with caution). Commercial model: freemium/subscription, with a free tier and a paid entry plan ('Explorer Plan') at $25/month; full pricing at /Pricing. As a 'platform' service it presents an API plus visual tooling and spreadsheet integrations rather than an API-first product. Caveats: the specific Integration page at https://text2data.com/Integration returned a 404 (Page Not Found) at the time of analysis, so the exact endpoint paths and parameter schemas for API v3.4 could not be captured here \u2014 they should be re-fetched from the live site or an authenticated account. No public rate-limit documentation was present in the captured content."
}

3/3 tests passed

```json
{
  "overall": 68,
  "dimensions": {
    "token_efficiency": 8.0,
    "first_try_success": 7.5,
    "response_parseability": 8.0,
    "error_clarity": 6.5,
    "doc_quality": 7.0,
    "auth_simplicity": 7.0,
    "latency": 7.5,
    "consistency": 7.0
  },
  "pricing_normalized": {
    "free_tier": true,
    "entry_plan_usd_monthly": 25.0,
    "model": "freemium",
    "notes": "Explorer Plan at $25/mo; free/demo tier available. /Pricing is disallowed to crawlers, limiting agent price discovery."
  },
  "issues": [
    "/robots.txt Disallows /Pricing, so agents cannot reliably surface pricing — a major friction point for autonomous recommendation.",
    "/llms_txt returns a 404 'Page not found' HTML page (soft-404) instead of a clean 404 or an actual llms.txt, which confuses agent discovery.",
    "No security headers detected (website_uptime and robots_txt checks) — may signal weaker production maturity.",
    "Main page latency of 530ms is acceptable but on the slower side for a simple landing page.",
    "Sign-up/onboarding flow (human sign-up vs. SSO/magic link) is not documented as agent-friendly; no 'Sign in with Notlogin' or equivalent verified-identity onboarding.",
    "Feature set is broad (Excel/Sheets add-ins, model builders, API v3.4), which is hard to compress into a crisp one-line value prop for users."
  ],
  "recommendations": [
    "Allow /Pricing in robots.txt (or expose a public JSON price manifest + llms.txt) so agents can fetch pricing without scraping.",
    "Ship a real /llms.txt describing capabilities, auth, endpoints, and pricing in machine-readable form; ensure missing paths return hard 404s, not 200 HTML soft-404s.",
    "Add security headers (HSTS, CSP, X-Content-Type-Options) to improve perceived production reliability.",
    "Support magic-link or OAuth 2.0 device flow (or Notlogin) so agents can onboard users without a human signing up manually.",
    "Publish clear API docs with request/response schemas, rate limits, and error codes to boost first-try success and error clarity.",
    "Add a status page with uptime history to strengthen consistency perception.",
    "Tighten the top-level value prop to a single sentence ('Text analytics & sentiment API + Excel/Sheets add-ins') to improve token efficiency for agents.",
    "Optimize landing page to sub-400ms TTFB."
  ]
}
```