19 Services from rqjzcd-ip-209-115-177-214.tunnelmole.net

Performs sentiment analysis on a given text string, returning a sentiment classification, paid per-call in real USDC on Base mainnet via x402.

Generates a comprehensive NLP report from input text, covering sentiment, entities, and summarization, paid per call in real USDC on Base mainnet via x402.

Machine-payable NLP micro-service performing sentiment analysis, entity extraction, summarization, and batch text processing, paid per call in real USDC on Base mainnet via x402.

Extracts named entities from a given text string, paid per call in real USDC on Base mainnet via the x402 protocol.

Extracts named entities (people, places, organizations, dates, etc.) from a text input, charged per call in USDC on Base mainnet via x402.

Generates a comprehensive NLP report from a text input, paid per call in real USDC on Base mainnet via the x402 protocol.

Extracts named entities (people, organizations, locations, dates, etc.) from input text, paid per call in real USDC on Base mainnet via x402.

Generates a structured NLP report from input text, paid per-call in real USDC on Base mainnet via the x402 protocol.

Machine-payable NLP micro-service offering sentiment analysis, entity extraction, summarization, report generation, and batch processing, paid per-call in real USDC on Base mainnet via x402.

Condenses a block of text into a concise summary, paid per call in real USDC on Base mainnet via the x402 protocol.

Analyzes sentiment for one or more text inputs in a single API call, paid per call in real USDC on Base mainnet via x402.

Generates vector embeddings for multiple texts in a single call, paid per call in real USDC on Base mainnet via the x402 payment protocol.

Processes multiple text inputs in a single call through NLP micro-services (sentiment, entity extraction, summarization, report), paid per call in real USDC on Base mainnet via x402.

Computes semantic or lexical similarity between two text inputs, paid per call in real USDC on Base mainnet via x402.

Accepts a text string and returns a vector embedding, payable per call in real USDC on Base mainnet via the x402 protocol.

Analyzes the sentiment of a given text string and returns a sentiment classification, paid per call in real USDC on Base mainnet via x402.

Summarizes a given text into a concise form, paid per-call in real USDC on Base mainnet via x402 protocol

Finds catchall/work email addresses for a given email input, paid per call via USDC on Base mainnet using the x402 payment protocol.

Accepts text input and performs NLP processing (sentiment, entity extraction, summarization, or related analysis) for a per-call USDC micropayment on Base mainnet via the x402 protocol.