AI agent support: validate an API response against a JSON Schema (draft-07 subset) for agents wiring tools together. Returns per-violation paths, expected vs actual types, and a pass/fail flag — fully local, deterministic, no LLM.

AI agent support: bias signal detection (gender stereotypes, age stereotypes, nationality blanket statements, profession stereotypes) for agents auditing generated content. Heuristic lexicon, no demographic inference of users, returns per-category counts and a band.

AI agent support: static code review signals (function length, nesting depth, magic numbers, TODOs, hardcoded secrets, dangerous calls) for agents triaging AI-generated patches before commit. Language-agnostic regex/structure heuristic, no LLM, no AST parser dependency.

AI agent support: CSV data quality report (null ratio, type coercion failures, outlier detection via IQR, column-count mismatches) for agents validating ingested tabular data. Local-only, no schema required, header autodetection.

AI agent support: hallucination warning signals in LLM output (fake citations, suspicious URLs, over-precise statistics, contradiction patterns) for agents auditing chained generations. Heuristic-only, no external fact-check; flags candidates for human review.

AI agent support: validate a multi-agent handoff document against required structure (frontmatter, mandatory sections, no leaked secrets) for collaborative agent workflows. Returns missing sections, parsed frontmatter, and a pass/fail flag — fully local.

AI agent support: classify user request intent into a fixed taxonomy (question, command, search, debug, generate, analyze, translate, chat) with per-intent confidence, for agent routing layers. Local-only keyword + sentence-shape heuristic, no LLM.

AI agent support: structural JSON diff between two payloads for agents validating tool output drift. Returns categorized additions, removals, type changes, and value changes with JSON-pointer paths (RFC 6901) — no LLM needed, deterministic.

AI agent support: lightweight language detection with confidence score for short texts, for agents routing multilingual input. Returns top-N candidate languages and a normalized confidence — script-distribution heuristic, no external API, deterministic.

AI agent support: compute recommended concurrency, delay, and exponential backoff parameters for a target API given its rate limit, for agents orchestrating bulk calls. Returns concurrency, baseBackoffMs, capBackoffMs, jitter, and expected throughput — purely deterministic.

AI agent support: explain a regular expression in plain English by parsing its AST into atoms (anchors, char classes, quantifiers, groups, alternations) for agents debugging tool patterns. Returns ordered element list with descriptions — fully local, no LLM.

AI agent support: multilingual sentiment scoring via built-in mini-lexicon (en/ja/es/de/fr) for agents triaging user messages. Returns numeric score, normalized polarity (positive/neutral/negative), and detected language hint — local-only, no model API.

AI agent support: SQL statement static lint for agents that compose queries from tool output. Returns balanced-paren check, statement type, and a coarse risk band over common unsafe shapes (mass-mutate without WHERE clause, stacked statements, classic tautology patterns). Fully local; the SQL is never executed against any database.

AI agent support: lightweight toxicity signal for user-generated text (insults, threats, harassment, profanity) with category-level scoring, for agents pre-filtering inbound messages. Local-only mini-lexicon, returns per-category match counts — coarse, indicative-only.

AI agent support: translation quality coarse score (length-ratio plausibility, numeric/URL/code-block preservation, target script consistency) for agents pre-filtering machine translations. Local-only, no reference corpus, no LLM.

Detect prompt injection attempts in user input. Checks for 5 patterns: ignore-instructions, system-override, role-hijack, Japanese-injection, data-exfil. Pure function, sub-millisecond response.

Estimate fair price (in USDC) for a natural-language task description. Considers complexity, data size, real-time requirement, and rarity. Useful for agent-to-agent task pricing negotiation.