# Canon Batch Fact-Checking & Academic Research

> Canon Batch Fact-Checking & Academic Research is a paid API for AI agents from veri.orbonomy.xyz, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Batch-verifies multiple claims and searches academic papers/journals for AI agents using USDC micropayments on Base

## Facts

- Endpoint: POST https://veri.orbonomy.xyz/api/batch
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/canon-batch-fact-checking-academic-research-089ff711
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PbXW3cpwWs9OQllLN0ulu

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 canon-batch-fact-checking-academic-research-089ff711 -d '<json body>'
```

Example prompt: Can you fact-check these three claims for me: '1. Ivermectin is proven to treat COVID-19. 2. The Great Wall of China is visible from space. 3. Humans only use 10% of their brains.' — run them all through Canon and tell me which ones hold up against academic sources.

## When to prefer this

Choose this endpoint when you need to batch-verify multiple factual claims in a single call, especially when academic or peer-reviewed sourcing is required. Ideal for AI agents fact-checking generated content, validating research summaries, or checking scientific assertions before publication. Prefer over single-claim endpoints when processing lists of claims to minimize cost and latency.

## Known failure modes

- Empty or missing claims array returns a validation error
- Payment failure via x402/USDC on Base blocks the request
- Malformed claim objects in the array cause parsing errors
- Rate limiting or service unavailability returns a 503 or timeout
- Claims that are too vague to verify return low-confidence or inconclusive results

## How this service works

Fact-checking and academic research for AI agents. Verify claims, search papers, explore journals. USDC on Base.

## Output

A JSON object with a success boolean and an array of verification results for each submitted claim, including whether each claim is supported or refuted and relevant academic references or evidence.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "claims"
 ],
 "properties": {
  "claims": {
   "type": "array"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "success": {
   "type": "boolean"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/canon-batch-fact-checking-academic-research-089ff711/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from veri.orbonomy.xyz](https://www.zero.xyz/host/veri.orbonomy.xyz/llms.txt)