Classify and categorize text. Assign input to one of your supplied labels with a confidence score. Zero-shot text classification for routing, tagging, intent detection and triage.

Clean and denoise text. Strip HTML tags, navigation, ads, cookie banners and boilerplate, returning only the meaningful human-readable plaintext. Prep scraped or messy content for an LLM.

Compress and minimize LLM context. Turn verbose, messy, unstructured text into a dense token-minimal JSON object that keeps every fact. Reduce token usage, shrink prompts, and cut context costs for AI agents.

Detect prompt injection and jailbreaks. Scan untrusted user input for attempts to manipulate an AI agent — instruction overrides, system-prompt extraction, jailbreaks, data exfiltration, tool abuse — before your agent acts on it. A security guardrail for LLM and agent pipelines.

Detect the language of text. Return the language name, ISO 639-1 code and a confidence score. Language identification for routing and multilingual pipelines.

Named-entity recognition (NER). Extract people, organizations, locations, dates and monetary amounts from text into structured JSON. Identify entities for knowledge graphs and data enrichment.

Extract structured data from unstructured text or HTML. Pull caller-specified fields (names, prices, dates, invoice numbers, anything) into clean JSON. Turn documents and messy content into structured records.

Fetch and read any web page. Give a URL, get back the main content as clean Markdown or plaintext with nav/ads/boilerplate removed. Web access and browsing for sandboxed agents that can't reach the internet. Scrape a URL to LLM-ready text.

Repair broken JSON. Fix malformed, truncated or loosely-formatted JSON (single quotes, trailing commas, cut-off output) into valid parseable JSON. Recover LLM output that failed to parse.

Extract keywords, tags and key phrases from text. Identify the most important terms and topics for indexing, tagging, SEO and search. Keyword and keyphrase extraction.

Convert HTML to Markdown. Turn web pages, HTML or messy text into clean, well-structured Markdown (headings, lists, links, tables). Make web content LLM-ready.

Moderate content for safety. Flag unsafe text by category (hate, harassment, violence, sexual, self-harm, illegal). Content moderation and safety filtering for user input and generated text.

Detect and redact PII from text. Mask emails, phone numbers, names, addresses and government/card IDs with typed placeholders. Anonymize and sanitize data for privacy and compliance.

Rewrite and rephrase text in a target style or tone (formal, casual, concise, friendly, professional). Paraphrase, adjust voice, and polish copy while preserving meaning.

Scrape structured data from any web page. Give a URL and the fields you want; get clean structured JSON back. Turn websites into structured records — prices, titles, contacts, listings, specs — for sandboxed agents that can't browse.

Analyze sentiment and emotion in text. Return a positive/negative/neutral label plus a -1..1 score. Gauge customer feedback, reviews, social posts and support messages.

Summarize documents and long text. Produce a dense, accurate summary at a target length (short, medium, long). Condense articles, reports, transcripts and web pages for fast downstream reasoning.

Translate text between languages. Convert content into any target language while preserving meaning, tone and formatting. Machine translation for multilingual agents and pipelines.