# Canon Batch Fact-Checking & Academic Research

> Canon Batch Fact-Checking & Academic Research is a paid API for AI agents from v0-canon.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, returning structured fact-check results.

## Facts

- Endpoint: POST https://v0-canon.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-8b2a6167
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6FLRAzyEOUFrCLTE32M5J

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-8b2a6167 -d '<json body>'
```

Example prompt: Can you fact-check these three claims for me: 'Coffee consumption reduces Alzheimer's risk by 65%', 'The Great Wall of China is visible from space', and 'Humans only use 10% of their brains'? Pull from academic sources where possible.

## When to prefer this

Use Canon when you need to batch-verify multiple factual claims simultaneously with grounding in academic and peer-reviewed sources. Prefer this over single-claim endpoints when you have several assertions to check at once, or when you specifically need scholarly/journal citations rather than general web fact-checking. Best suited for research workflows, content verification pipelines, and academic integrity checks.

## Known failure modes

- Empty claims array returns validation error
- Malformed claims array causes 400 bad request
- Payment of 0.1 USDC not provided results in 402 Payment Required
- Claim too vague or ambiguous to verify returns low-confidence or null verdict
- Rate limiting if too many requests submitted
- Upstream academic database unavailable causes partial results or 503

## 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 structured results for each submitted claim, including verification verdicts and supporting or refuting academic references found across journals and papers.

## 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-8b2a6167/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from v0-canon.orbonomy.xyz](https://www.zero.xyz/host/v0-canon.orbonomy.xyz/llms.txt)