Development x402 offerings

Deep-compare two JSON values. Returns a list of changed/added/removed paths (capped at 1000 differences).

Search operations in an OpenAPI 3.x or Swagger 2.x spec against a free-text query. Tokenizes the query (lowercase, alphanumeric runs), scores each operation by which fields the tokens match - operati…

Validate a JSON document against a JSON Schema (draft-07 subset) and get the list of violations. Supports type, required, properties, items, enum, const, min/max, length, pattern, format, anyOf/allOf…

Generate a text embedding vector using OpenAI text-embedding-3-small (1536 dimensions). Ideal for semantic search, RAG, and clustering. No API key needed; pay per call via x402. Text capped at 32k ch…

Markdown to HTML and back - a round-trip conversion that proves fidelity and gives you both formats from one input. Markdown to HTML round-trip skill pack: one x402 payment runs 3 underlying tools (m…

Score an OpenAPI 3.x or Swagger 2.x spec on agent-readiness - i.e. does an LLM-driven caller have what it needs to call the API correctly without guessing. Returns a 0..100 score, severity counts, an…

Validate whether an input string is well-formed JSON. Returns a valid flag and a parser error message when invalid.

Convert an XML document into an equivalent JSON object. Parse XML feeds, SOAP responses and config into JSON.

Validate whether an input string is well-formed JSON. Returns a valid flag and a parser error message when invalid.

Structural diff of two JSON values: dotted-path lists of added, removed and changed fields, plus an equal flag. Input JSON strings or objects.

RFC 3986 percent-encode an input string for safe use in URLs, query strings and path segments (spaces become %20).

Structural diff of two JSON values: dotted-path lists of added, removed and changed fields, plus an equal flag. Input JSON strings or objects.

Compare two semantic version strings. Returns -1, 0 or 1 for less-than, equal or greater-than.

x402 payment E2E test endpoint (echoes query). Factual data only; not investment advice.

AI code review returning bugs, security issues, performance notes, and a quality score. Use when you need a second-pass review of a diff or function before committing it.

JSON Schema inference for APIs - infer schema from sample responses.

JSON repair for AI agents - fix malformed JSON and return structured output.

JSON repair for AI agents - fix malformed JSON and return structured output.

Look up a PyPI package: latest version, license, summary, required Python version, dependency count, homepage, and release count. One call, structured JSON. For Python dependency analysis and package…

Look up a GitHub repository: stars, forks, open issues, primary language, license, default branch, topics, and last push time. One call, structured JSON. For open-source vetting, competitive analysis…

Compare two texts line by line using an LCS diff: exact additions, removals and context — in unified-diff style. Deterministic, unlike asking a model to 'find the differences'. Use this when an agent needs to exact line-level diff with unified-style output.

Turn a cron expression into plain English, validate it, and compute the exact next execution times. Deterministic — the answer to 'when does this cron actually fire?' without guessing. Use this when an agent needs to explain a cron expression and compute the next runs.

Estimate how many tokens a text consumes for each major model family (GPT, Claude, Gemini, Llama, DeepSeek) using a character/word heuristic that is within ~10% of real BPE tokenizers — enough for context budgeting and cost math, with zero dependencies. Use this when an agent needs to approximate token counts per LLM family, ±10%.

Parse a URL into all its components: protocol, hostname, port, path segments, query parameters (as a clean object), hash and credentials. Exact — no guessing by eye. Use this when an agent needs to break any URL into protocol, host, path and params.