Development x402 offerings

Conservatively repair common JSON syntax errors (unquoted keys, single-quoted strings, trailing commas) and parse the result; input is never evaluated as code.

Generate a JSON Schema (draft 2020-12) from an example JSON: types, properties, arrays, required fields and formats (date, date-time, email, uri). For API docs, tool definitions and output validation.

JSON Schema From Examples: No Over-Constraining — Writes a JSON Schema (draft 2020-12) from example JSON documents plus rules given in words, so that it accepts every example and every document the rules allow, and refuses every document the rules forbid. Nothing is made required, closed, numeric-only, formatted or limited because the examples happen to look that way - a key missing from one example stays optional, two observed values do not become an enum, whole-number examples do not make an …

Infer a draft-07 JSON Schema from sample JSON document(s). Send one sample as json, or several as samples. Heuristic merge rules: required = keys present in every sample, conflicting types become a type union, integer widens to number, and string formats (date-time, date, email, uri, uuid) are detected from values. Complements json-validate.

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/oneOf/not, additionalProperties. Deterministic - check an agent's structured output before you trust it.

Validate a JSON value against a JSON Schema and coerce common LLM-output mistakes (numbers as strings, stringified booleans, scalars where arrays are expected, missing defaults, extra properties). Returns the coerced value plus a structured error report. Built for cleaning up LLM tool-call arguments and structured outputs. POST a JSON body like: {"schema":{"type":"object","required":["name","age"],"properties":{"name":{"type":"string"},"age":{"type":"integer"}}},"data":{"name":"Ada","age":"36"}}

Validate JSON data against a JSON Schema (draft-07, Ajv). Returns valid + detailed errors with instance paths.

JSON Schema Validator API. Validate JSON data against a JSON Schema and receive structured valid/invalid results with detailed validation errors. Supports common JSON Schema features including type, required, properties, additionalProperties, enum, const, items, string lengths, patterns, and numeric bounds. Useful for agents, developers, API testing, structured output validation, schema checks, and automation workflows. Paid per call via x402.

Every agent and developer hits broken or confusing JSON. This tool handles the common headaches in one place: check whether JSON is valid with the exact error location, repair near-JSON with typos, pretty-print or minify, pull values out with a path expression, diff two documents, convert to and from YAML or CSV, produce a byte-stable canonical form for hashing, validate against a schema, and report size and structure. Same input, same output, no side effects.

Validate JSON (with line and column of the error), pretty-print or minify it, describe its structure (depth, keys, value types) and extract a value by path such as data.items[0].price.

Recursive diff between two JSON documents: added, removed and changed paths.

JSON-LD Schema Writer — Writes schema.org JSON-LD for one web page from the facts you give it, answered as JSON only with no script tag and no fence. Covers Article, BlogPosting, Product with Offer, BreadcrumbList, FAQPage, Event, Organization, LocalBusiness, Recipe and JobPosting. Leaves out every fact that was not given instead of inventing it: no rating, review, price, availability, author, date or salary appears unless the page states it. Writes prices as plain numbers with an ISO currency …

Infer a basic JSON Schema (types, object properties, array item type) from an example document.

Every agent and developer hits broken or confusing JSON. This tool handles the common headaches in one place: check whether JSON is valid with the exact error location, repair near-JSON with typos, p…

Validate a JSON document against a JSON Schema.

Convert a public web page into concise, validated Schema.org JSON-LD for agents and automation. Supports 200+ entity types and can produce a useful page-level entity when existing markup is missing or incomplete. $0.01 USDC per successful request on Base. Call /check before paying. Payment authorization settles only after a successful response.

Validate a JSON value against a JSON Schema (draft-07, with the standard string formats enabled). An invalid schema is rejected as a clean 400 before payment; a valid schema that the data simply fail…

Infer a JSON Schema (draft-07) from an example value, walking objects and arrays recursively. Set detectFormat=true to tag strings that look like date-time/date/email/uri/uuid, requireAll=false to le…

Juniper Website Audit Kit for Claude Code & Codex. Run repeatable technical SEO website checks from your terminal or a Claude Code/Codex workflow. Get JSON, Markdown and HTML reports with UR First approved purchase: 0.01 USDC total where maker terms permit; later 9 USDC plus tax. Stored ZIP download; commercial use, no redistribution. Verified by Speedbot for this version. Generate a private checkout_key and request_id; email and delivery consent required.

A self-audit verifies consistency, never completeness. The check that clears your fix is the one you wrote, from inside the frame that produced the miss. kenoodl verify is the check that is not you: submit your code and the claim you believe about it, and execution returns the verdict against what the code actually does. HELD, or BROKE at the exact input. It never tells correct code it is broken.

Parse any CSS color (hex, rgb(), hsl()) and emit all three formats plus relative luminance. Compute WCAG contrast ratios against a background with AA/AAA pass-fail for normal and large text, and ligh…

Repair malformed JSON text into valid parsed JSON: markdown code fences, single quotes, smart quotes, unquoted keys, trailing commas, comments, Python literals (True/None), raw newlines in strings, a…

Validate a JSON value against a JSON Schema and coerce common LLM-output mistakes (numbers as strings, stringified booleans, scalars where arrays are expected, missing defaults, extra properties). Re…

Content: Playbook+ Agent/MCP v0.5.0, updated 2026-11-01. Agent/MCP controls, negative tests and dated incident cards from KLM's own briefs. Price: $1 USDC on Base or Solana