13 Services from api.maximusmediahouse.com

Computes a hex digest hash of input text using sha256, xxhash64, or murmur3, returning the digest, algorithm used, and byte count for caching and deduplication workflows.

Applies rule-based multi-label classification to text across a fixed 12-category taxonomy including urgency, spam, crypto mentions, and PII signals

Validates and canonicalizes a single identifier (email, URL, phone, IBAN, payment card, UUID, SHA-256, git SHA, EVM address, or domain) and returns its validity, canonical form, and fingerprint.

Extracts structured fields (emails, URLs, IPs, phones, money, ISO dates, UUIDs, EVM addresses, SKUs, semver) with byte offsets and normalized values from unstructured text.

Extracts caller-defined structured fields from text using regex patterns with deterministic type coercion — no LLM involved.

Converts arbitrary text into a URL-safe slug with NFKD unicode normalization, configurable separator, and word-boundary-aware truncation.

Deterministically normalizes text via Unicode NFKC, invisible-character stripping, smart-quote/dash folding, whitespace collapse, and case folding, returning a stable content hash for exact equality checks.

Execute up to 10 text-processing primitive calls (normalize, validate, extract, redact, classify, dedupe, diff, chunk, slugify, hash, etc.) in a single round-trip request at a 20% discount over individual calls.

Redacts personally identifiable information (PII) from text, returning sanitized text with byte spans and counts per PII class.

Detects near-duplicate documents in a batch using Jaccard similarity over word 3-shingles and returns a 64-bit SimHash fingerprint per document

Computes a line-level LCS diff between two text blobs, returning a structured edit script with insertions, deletions, and unchanged line counts, optionally including a unified-diff string.

Validates a JSON string against a JSON-Schema subset (type, required, properties, items, minLength, maxLength, pattern, enum, minimum, maximum, additionalProperties) and catches parse errors before they break a pipeline.

Splits long text into chunks for RAG retrieval pipelines using sentence-aware, paragraph-aware, or fixed-window strategies.