POST/v1/scrape 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. | 100% | — | $0.04 |
POST/v1/entities 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. | 100% | — | $0.03 |
| 100% | — | $0.03 |
POST/v1/fetch 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. | 100% | — | $0.03 |
POST/v1/classify 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. | 100% | — | $0.02 |
POST/v1/compress 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. | 100% | — | $0.02 |
POST/v1/detect-injection 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. | 100% | — | $0.02 |
POST/v1/markdown 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. | 100% | — | $0.02 |
POST/v1/redact 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. | 100% | — | $0.02 |
POST/v1/rewrite Rewrite and rephrase text in a target style or tone (formal, casual, concise, friendly, professional). Paraphrase, adjust voice, and polish copy while preserving meaning. | 100% | — | $0.02 |
POST/v1/summarize 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. | 100% | — | $0.02 |
POST/v1/translate Translate text between languages. Convert content into any target language while preserving meaning, tone and formatting. Machine translation for multilingual agents and pipelines. | 100% | — | $0.02 |
POST/v1/clean 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. | 100% | — | $0.01 |
POST/v1/detect-language Detect the language of text. Return the language name, ISO 639-1 code and a confidence score. Language identification for routing and multilingual pipelines. | 100% | — | $0.01 |
POST/v1/json-repair 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. | 100% | — | $0.01 |
POST/v1/keywords 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. | 100% | — | $0.01 |
POST/v1/moderate 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. | 100% | — | $0.01 |
POST/v1/sentiment 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. | 100% | — | $0.01 |