Development x402 offerings

Stats for a public GitHub repository: stars, forks, open issues, last push date, main language, license. Parameter: ?full_name=<owner>/<repo> (e.g. expressjs/express).

Repair common malformed JSON patterns and return strict parseable JSON.

Query a JSON document with a JSONPath expression.

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

Validate a JSON document against a JSON Schema.

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

Embeds 1 to 100 strings into semantic vectors via Venice. Tier shorthand: 'default' → gemini-embedding-2-preview (newest, recommended), 'fast' → text-embedding-bge-m3, 'openai-compat' → text-embeddin…

Text embeddings on Venice models for retrieval, RAG, and semantic search, paid per request in USDC on Base via x402, no API key. Resolve a model id from GET /api/v1/models?type=embedding.

AI-powered code review. Returns bugs, improvements, and security issues.

Returns matching workflows from 819 agent automation prompts with slug, title, description, and complexity — use it to find a ready-made automation instead of building one from scratch. Search by keyword to locate a Slack-to-Notion sync, an email-to-CRM pipeline, a dev-tool integration, or any pre-built workflow an agent can run directly, ranked by relevance with pagination via limit and offset.

Get ShadCN UI component blocks and templates

Repair malformed JSON (trailing commas, single quotes, unquoted keys, code fences, truncated output) and optionally validate the result against a supplied JSON Schema. Returns the parsed value, the c…

Parses any standard cron expression and computes its next 1-20 firing times in a chosen timezone, flagging malformed expressions clearly rather than letting a bad schedule silently fail in production. For scheduler tooling, CI pipelines, and agents that generate cron syntax and need to sanity-check it.

OpenAPI Changelog Generator: Diff two OpenAPI specs and generate a structured breaking-change changelog (no LLM — deterministic diff). Provide base_spec_url and new_spec. Pay per call in USDC on Base…

Git Changelog Generator: Diff git commits and generate a structured breaking-change changelog. Provide repository_url, base_commit, and optional target_commit. Pay per call in USDC on Base via x402 —…

Returns everything an AI agent needs to write an algorithmic trading strategy in code: a code-generation system prompt plus an indexed API reference (and, on request, individual reference modules with full signatures). The target language is a TypeScript-based trading DSL modeled on TradingView PineScript — series-style market data, ta.* technical indicators, strategy.* order actions, input.* parameters.

Run code in an isolated cloud sandbox and get its output — agents can't self-host this. POST {code, language?}. language: python (default), javascript, bash, r, java. Returns stdout, stderr, results,…

Top trending GitHub repositories as JSON (name, url, stars, language, today_stars)

Convert text into a 768-dimension embedding vector (nomic-embed-text) for semantic search, RAG retrieval, clustering, deduplication or similarity scoring. POST JSON {"input": string}, up to 3000 characters; returns {embedding: number[768], model, dimensions, elapsed_ms}. One text per call; English works best.

x402engine — Google's Gemini 3.1 Pro Preview on the Gemini Pro compatibility route — advanced reasoning, coding, and multimodal understanding

x402engine — MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...

x402engine — GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professio…

x402engine — Alibaba's code-specialized model — optimized for code generation, review, and technical tasks

x402engine — Alibaba's flagship Qwen 3.7 model — 1M context for agent-centric coding and productivity tasks