11 Services from modell.halowerk.com

Validates LLM output against a JSON Schema (Draft 2020-12 or draft-07), reporting each violation with its JSON path, the broken rule, and a fix suggestion, while also unwrapping code-fenced or prose-wrapped model responses before validation.

Compares reference and current sample sets feature-by-feature, returning PSI, Jensen-Shannon divergence, and KS statistics to detect data drift in ML pipelines.

Compares a producer tool's output schema against a consumer tool's input schema to determine whether they can be chained, reporting exact matches, synonym-based renames, and missing required fields.

Analyzes an AI agent run's step trace to produce a scored quality report detecting loops, failure streaks, wasted calls, and per-step cost attribution.

Scores every catalogue LLM against a given task and returns a ranked shortlist with per-model cost estimates, sub-scores, and exclusion reasons for models that can't fit the input.

Validates an OpenAPI 3.x document and reports structural errors that would prevent a machine consumer from parsing or using it correctly.

Validates tool call arguments against a JSON Schema and flags semantic anomalies like placeholder values, suspicious numbers, destructive flags, and checksum failures.

Plans how to split a long text into chunks that fit a language model's context window, accounting for system prompt, expected answer, and a safety margin, with optional overlap between chunks.

Converts an OpenAPI 3.x document into a set of MCP tool definitions, merging path/query/header parameters and request body into a single flat input schema per operation with inline-expanded $refs.

Estimates the total API cost for a given LLM call by computing input, output, cache-read, and cache-write costs across models based on text or token counts.

Returns a filterable comparison table of language models with pricing (input, output, cache per million tokens), context window, max output length, batch discounts, and capability tags, each row timestamped for freshness.