meld402 AI Code Generation

x402

meld402 AI Code Generation is a paid API for AI agents from meld402.vercel.app, paid per call via x402, $0.5/call, status unknown (last checked 2026-09-15).

Generates code in a specified language and style using AI models, optionally including unit tests and explanations, paid per request via x402/USDC.

Price / call$0.5

Seller volume →—

Success—

StatusUnknown

How this service works

14 paid data endpoints for autonomous agents and developers. Covers crypto intelligence (token, chain, Solana, gas), markets (FX, market pulse), location (weather), and research (news, brief). Each route aggregates multiple public sources into one stable schema with a single USDC payment over x402 on Base.

Output

Returns a JSON object containing the generated code string, an array of files with paths and contents, optional unit tests, a natural-language explanation, the language and framework used, which model was used, tokens consumed, and estimated cost. Metadata includes sources and attribution.

Example use cases

Scaffold React component with tests

“Write me a clean React component in TypeScript using gpt-4o that shows a paginated list of products — include Jest unit tests and an explanation of how it works.”

Generate Django REST API endpoint

“Generate a functional Python Django REST framework view for creating and listing blog posts, using gpt-4o-mini, and include unit tests.”

Minimal Express route with no tests

“Give me a minimal JavaScript Express.js route handler that validates a user login — no tests needed, just clean code, use the codellama model.”

Technical details

Endpoint

POSThttps://meld402.vercel.app/api/ai/code

When to prefer

Choose this endpoint when you need AI-generated code with a stable, structured response schema and want to pay per call via USDC/x402 without managing API keys for OpenAI or code-specialist models. Ideal for agents that need to programmatically generate and parse code artifacts, file lists, and tests in a single request. Prefer over raw OpenAI API when you want a bundled, schema-consistent response including files, tests, and explanation together.

Side effects

Invalid or missing prompt (minLength:1 violated) returns validation error
Unsupported model enum value returns 400
Prompt exceeds 5000 character limit returns error
Payment not fulfilled via x402 returns 402 Payment Required
Upstream AI provider downtime causes degraded or failed response
Unsupported language or framework may produce lower quality output

Input

Schema · Request body

Field	Type	Description
model	string	Model to use
style	string	Code style
prompt	string	Code generation prompt
language	string	Programming language
framework	string	Framework/library (e.g., 'react', 'express', 'django')
include_tests	boolean	Generate unit tests
include_explanation	boolean	Include code explanation

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "code": "import { createClient } from '@supabase/supabase-js';\n\nexport async function getUserPosts(userId: string) {\n  const supabase = createClient(\n    process.env.SUPABASE_URL!,\n    process.env.SUPABASE_ANON_KEY!\n  );\n\n  const { data, error } = await supabase\n    .from('posts')\n    .select('*')\n    .eq('user_id', userId)\n    .order('created_at', { ascending: false });\n\n  if (error) throw error;\n  return data;\n}",
      "files": [
        {
          "path": "lib/posts.ts",
          "content": "import { createClient } from '@supabase/supabase-js';\n\nexport async function getUserPosts(userId: string) {\n  const supabase = createClient(\n    process.env.SUPABASE_URL!,\n    process.env.SUPABASE_ANON_KEY!\n  );\n\n  const { data, error } = await supabase\n    .from('posts')\n    .select('*')\n    .eq('user_id', userId)\n    .order('created_at', { ascending: false });\n\n  if (error) throw error;\n  return data;\n}"
        }
      ],
      "tests": "import { getUserPosts } from './posts';\n\njest.mock('@supabase/supabase-js', () => ({\n  createClient: () => ({\n    from: () => ({\n      select: () => ({\n        eq: () => ({\n          order: () => Promise.resolve({ data: [], error: null }),\n        }),\n      }),\n    }),\n}));\n\ntest('getUserPosts returns posts', async () => {\n  const posts = await getUserPosts('user-123');\n  expect(posts).toEqual([]);\n});",
      "language": "typescript",
      "framework": "supabase",
      "model_used": "gpt-4o",
      "explanation": "This function fetches all posts for a given user ID using Supabase client. It orders results by creation date descending.",
      "tokens_used": {
        "total": 1340,
        "prompt": 450,
        "completion": 890
      },
      "estimated_cost_usd": 0.002
    },
    "meta": {
      "as_of": "2026-08-24T00:00:00.000Z",
      "sources": [
        "openai"
      ],
      "degraded": [],
      "attribution": [
        "AI generation by OpenAI (openai.com)"
      ]
    }
  }
}

Reviews

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How this service works

Output

Example use cases

Scaffold React component with tests

“Write me a clean React component in TypeScript using gpt-4o that shows a paginated list of products — include Jest unit tests and an explanation of how it works.”

Generate Django REST API endpoint

“Generate a functional Python Django REST framework view for creating and listing blog posts, using gpt-4o-mini, and include unit tests.”

Minimal Express route with no tests

“Give me a minimal JavaScript Express.js route handler that validates a user login — no tests needed, just clean code, use the codellama model.”

Technical details

Endpoint

POSThttps://meld402.vercel.app/api/ai/code

When to prefer

Side effects

Invalid or missing prompt (minLength:1 violated) returns validation error
Unsupported model enum value returns 400
Prompt exceeds 5000 character limit returns error
Payment not fulfilled via x402 returns 402 Payment Required
Upstream AI provider downtime causes degraded or failed response
Unsupported language or framework may produce lower quality output

Input

Schema · Request body

Field	Type	Description
model	string	Model to use
style	string	Code style
prompt	string	Code generation prompt
language	string	Programming language
framework	string	Framework/library (e.g., 'react', 'express', 'django')
include_tests	boolean	Generate unit tests
include_explanation	boolean	Include code explanation

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "code": "import { createClient } from '@supabase/supabase-js';\n\nexport async function getUserPosts(userId: string) {\n  const supabase = createClient(\n    process.env.SUPABASE_URL!,\n    process.env.SUPABASE_ANON_KEY!\n  );\n\n  const { data, error } = await supabase\n    .from('posts')\n    .select('*')\n    .eq('user_id', userId)\n    .order('created_at', { ascending: false });\n\n  if (error) throw error;\n  return data;\n}",
      "files": [
        {
          "path": "lib/posts.ts",
          "content": "import { createClient } from '@supabase/supabase-js';\n\nexport async function getUserPosts(userId: string) {\n  const supabase = createClient(\n    process.env.SUPABASE_URL!,\n    process.env.SUPABASE_ANON_KEY!\n  );\n\n  const { data, error } = await supabase\n    .from('posts')\n    .select('*')\n    .eq('user_id', userId)\n    .order('created_at', { ascending: false });\n\n  if (error) throw error;\n  return data;\n}"
        }
      ],
      "tests": "import { getUserPosts } from './posts';\n\njest.mock('@supabase/supabase-js', () => ({\n  createClient: () => ({\n    from: () => ({\n      select: () => ({\n        eq: () => ({\n          order: () => Promise.resolve({ data: [], error: null }),\n        }),\n      }),\n    }),\n}));\n\ntest('getUserPosts returns posts', async () => {\n  const posts = await getUserPosts('user-123');\n  expect(posts).toEqual([]);\n});",
      "language": "typescript",
      "framework": "supabase",
      "model_used": "gpt-4o",
      "explanation": "This function fetches all posts for a given user ID using Supabase client. It orders results by creation date descending.",
      "tokens_used": {
        "total": 1340,
        "prompt": 450,
        "completion": 890
      },
      "estimated_cost_usd": 0.002
    },
    "meta": {
      "as_of": "2026-08-24T00:00:00.000Z",
      "sources": [
        "openai"
      ],
      "degraded": [],
      "attribution": [
        "AI generation by OpenAI (openai.com)"
      ]
    }
  }
}