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meld402 Deep Research
x402
meld402 Deep Research is a paid API for AI agents from meld402.vercel.app, paid per call via x402, $1/call, status unknown (last checked 2026-09-15).
Performs multi-source deep research on any topic, returning structured sections, citations, key findings, and an executive summary aggregated from web, news, and academic sources.
Price / call$1
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 structured JSON object containing an executive summary, multiple titled research sections each with inline sources, a list of key findings, full citations with URLs and access timestamps, estimated cost, and processing time. Meta field includes the underlying data sources used (e.g. Tavily, Firecrawl, OpenAI) and any degraded services.
Example use cases
Blockchain technology deep dive
“I need a comprehensive research report on ZK-rollups and their impact on Ethereum scalability — go depth 5, include citations, and format it in markdown.”
Competitive landscape analysis
“Research the current competitive landscape for AI coding assistants at depth 3 — I want key findings, section breakdowns, and cited sources in markdown.”
Quick regulatory overview
“Give me a quick depth-1 research summary on recent EU AI Act regulations, in JSON format with citations included.”
Technical details
Endpoint
POSThttps://meld402.vercel.app/api/research/deepWhen to prefer
Choose this endpoint when you need a synthesized, multi-source research report rather than a simple search or news lookup. It is especially valuable when you want structured output with citations from web, news, and academic sources combined in a single call. Prefer it over a standalone search API when you need an executive summary, sectioned findings, and cited references in one stable response. Best for topics requiring depth and synthesis rather than real-time data (e.g. crypto prices or weather).
Side effects
- Topic string too long (>500 chars) — validation error
- Depth out of range (must be 1-5) — schema validation failure
- Upstream source degradation (Tavily, Firecrawl, or OpenAI unavailable) — degraded array populated, partial results returned
- Payment failure over x402/Base — 402 response before research begins
- Long processing times (up to ~45s) may cause client timeout for depth 5 requests
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| depth | integer | Research depth: 1=quick, 5=comprehensive |
| topic | string | Research topic |
| format | string | Output format |
| sources | array | Specific sources to include (default: web, news, academic) |
| citations | boolean | Include citations in output |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"topic": "zero-knowledge proofs in blockchain",
"sections": [
{
"title": "ZKP Fundamentals",
"content": "Zero-knowledge proofs allow a prover to convince a verifier of a statement's truth without revealing the secret...",
"sources": [
{
"url": "https://example.com/zkp-overview",
"type": "web",
"title": "ZKP Overview"
}
]
},
{
"title": "Blockchain Applications",
"content": "ZK-rollups use ZKPs to batch transactions off-chain...",
"sources": [
{
"url": "https://example.com/zk-rollups",
"type": "web",
"title": "ZK-Rollups Explained"
}
]
}
],
"citations": [
{
"url": "https://example.com/zkp-survey",
"type": "academic",
"title": "ZKP Survey",
"accessed_at": "2026-08-24T00:00:00.000Z"
},
{
"url": "https://example.com/zk-rollup-bench",
"type": "web",
"title": "ZK-Rollup Benchmarks",
"accessed_at": "2026-08-24T00:00:00.000Z"
}
],
"key_findings": [
"ZKPs enable 100x throughput improvement",
"Privacy-preserving transactions achievable",
"Hardware acceleration critical for adoption"
],
"executive_summary": "Zero-knowledge proofs (ZKPs) are cryptographic protocols enabling one party to prove knowledge of a secret without revealing it. This report examines ZKP applications in blockchain scaling, privacy, and identity.",
"estimated_cost_usd": 0.15,
"processing_time_ms": 45000
},
"meta": {
"as_of": "2026-08-24T00:00:00.000Z",
"sources": [
"tavily",
"firecrawl",
"openai"
],
"degraded": [],
"attribution": [
"Search data by Tavily (tavily.com)",
"Web scraping by Firecrawl (firecrawl.dev)",
"AI generation by OpenAI (openai.com)"
]
}
}
}Tags
x402
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