# spipe Research API

> spipe Research API is a paid API for AI agents from spip35.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).

Performs AI-powered web research by searching, extracting, and synthesizing information in response to a research question

## Facts

- Endpoint: POST https://spip35.vercel.app/research
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/spipe-research-api-bd856790
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cRdbX8QeGlRIXjLEXz2Le

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability spipe-research-api-bd856790 -d '<json body>'
```

Example prompt: Do a deep research on the current state of open-source LLM fine-tuning techniques — I need a thorough synthesis of what methods exist, their trade-offs, and which are trending in 2024.

## When to prefer this

Choose this endpoint when an AI agent needs to answer a complex, open-ended question that requires synthesizing information from multiple web sources rather than a single lookup. It is especially useful for background research, competitive analysis, or any task where the answer requires reading and combining content from across the web. The adjustable research_effort parameter makes it suitable for both quick overviews (lite) and thorough multi-source investigations (exhaustive).

## Known failure modes

- Research question exceeds 40,000 character limit — request rejected
- Invalid research_effort enum value — validation error returned
- No relevant web results found for obscure or highly specific queries
- Timeout or partial results for exhaustive research effort on complex topics
- Service unavailable or payment processing failure via x402 protocol

## How this service works

Web search, content extraction, and research APIs for AI agents. x402 on Base.

## Output

A structured object containing synthesized research findings drawn from web searches and content extraction, including relevant facts, sources, and a coherent answer to the research question. Depth and breadth of results scale with the chosen research_effort level.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "string",
   "description": "Research question (max 40,000 chars)"
  },
  "research_effort": {
   "enum": [
    "lite",
    "standard",
    "deep",
    "exhaustive"
   ],
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object"
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/spipe-research-api-bd856790/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from spip35.vercel.app](https://www.zero.xyz/host/spip35.vercel.app/llms.txt)