Catalog

https://orbisapi.com/proxy/anti-bot-detection-analyzer-api-da5363

Plan redirect chain following from known redirect data

Plan redirect chain following from known redirect data. Returns hop-by-hop plan, issues and final URL.

Extract canonical URL, detect duplicate page status, OG URL and hreflang count from HTML.

Detect JSON-LD and Microdata structured data schemas in HTML

Detect JSON-LD and Microdata structured data schemas in HTML. Returns schema types and rich snippet eligibility.

Estimate total web scraping cost from URL count, proxy type, JS rendering needs and storage requirements.

https://orbisapi.com/proxy/domain-extractor-api-e2b9b3

Detect MIME type from file extension, Content-Type header or magic byte signatures

Detect MIME type from file extension, Content-Type header or magic byte signatures. Returns category and parseability.

Parse Set-Cookie headers into structured objects with security attributes, tracking classification and security score.

Calculate URL path depth, page type classification (homepage/category/detail) and crawl priority for URL lists.

Analyze HTTP response headers for caching, technology detection, rate limiting signals and security issues.

Extract all links from HTML with type classification: internal, external, mailto, tel and relative URLs.

Extract URLs from XML sitemaps with lastmod dates, priority scores, depth analysis and domain extraction.

Parse robots.txt files into structured rules with per-agent analysis, path checking and sitemap extraction.

https://orbisapi.com/proxy/data-completeness-checker-api-f5ea44

Detect API endpoints and JSON URLs in page JavaScript code and network requests.

Analyze KPI actuals vs targets with RAG status, variance percentages and top performers/at-risk identification.

Score and segment customers using RFM analysis (Recency, Frequency, Monetary) with segment-specific action recommendatio

Analyze numeric distribution: mean, median, skewness, kurtosis, percentiles and histogram with distribution type classif

Calculate linear regression slope, intercept, R-squared, RMSE and predict future values from x/y data.

Analyze value frequency distribution with mode, top-N counts, cumulative percentages and diversity ratio.

https://orbisapi.com/proxy/data-normalization-scorer-api-e990b5

Calculate required sample size or achieved statistical power for an experiment given effect size and significance level.

Detect and measure seasonality in time series data using seasonal indices and peak/trough period identification.

Calculate confidence intervals from raw data or summary statistics with margin of error and interpretation.