Results for “Self-Limiting Belief Detector”

Analyzes text to detect self-limiting beliefs, highlighting negative thought patterns and flagging phrases that may hinder decisions.

AI-powered detector that identifies and labels breathing cycle phases (inhale, exhale, pause) from respiratory signals or audio input.

Analyzes content to identify and label persuasion techniques targeted at children, returning technique types and confidence scores.

Analyzes news articles to detect political or ideological bias, flagging slant, subjective language, and bias cues with confidence scores.

Detects anomalies in manufacturing processes from sensor and production data to flag faults and optimize operations.

AI-powered detection of anomalies in code execution logs to surface errors, performance regressions, and unexpected behavior for faster debugging.

Detects and flags on-chain MEV arbitrage opportunities in real time across DeFi protocols.

Analyzes breath and speech audio to detect signs of speech or respiratory impairments, returning probability scores and diagnostic cues.

Detects anomalous trading volume for TRON (TRC-20) tokens by analyzing on-chain volume and returns anomaly scores and metadata.

Detects anomalous spikes or drops in token trading volume using historical baselines and statistical thresholds, returning anomaly scores and timestamps.

Analyzes Cloudflare analytics to detect AI scrapers and fake human traffic using bot scores, ASN, geo anomalies, redirects, and protocol patterns.

Detects whether an email address is disposable/temporary and returns provider metadata and confidence.

Detects DEX swap events, token transfers, and related on-chain activity on the Solana network and returns structured event details.

Detects Solana token payments to a given account, enforcing exact amounts and timeouts (supports USDC and configurable decimals).

AI-driven breath anomaly detector that analyzes breath audio or sensor input to flag irregular respiratory patterns and potential issues.

AI-powered detector that analyzes breath sensor or audio input to identify toxic compounds and estimate exposure risk in real time.

AI-powered detector that identifies contraindications and potential interactions between vitamins, medications, and health conditions to flag safety risks.