# Canon Batch Fact-Check & Academic Research

> Canon Batch Fact-Check & Academic Research is a paid API for AI agents from canon.orbonomy.xyz, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).

Batch-verifies multiple claims and searches academic papers/journals for AI agents, returning factual verdicts and research references.

## Facts

- Endpoint: POST https://canon.orbonomy.xyz/api/batch
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/canon-batch-fact-check-academic-research-4f200698
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__F1hbuTpRpeCAeDKFJ7cf

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-check-academic-research-4f200698 -d '<json body>'
```

Example prompt: Can you fact-check these three claims for me: 'Aspirin reduces fever by inhibiting COX enzymes', 'The moon landing happened in 1969', and 'Coffee causes heart disease' — and pull any relevant academic papers that support or refute each one?

## When to prefer this

Choose Canon when you need to batch-verify multiple factual claims simultaneously against academic literature, especially when you need cited peer-reviewed sources rather than just a true/false verdict. Prefer this over single-claim endpoints when processing several statements at once to save cost. Ideal for AI pipelines that need to validate AI-generated content, research summaries, or journalistic claims before publishing.

## Known failure modes

- Empty or malformed claims array returns a validation error
- Claims that are too vague or ambiguous may return low-confidence results
- Rate limiting or payment failure (USDC on Base) may prevent processing
- Network timeout for large batches of complex claims
- Obscure or highly specialized claims may return no matching academic sources

## 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 per-claim results, each containing a factual verdict and supporting or refuting academic references, paper citations, and journal sources.

## 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-check-academic-research-4f200698/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from canon.orbonomy.xyz](https://www.zero.xyz/host/canon.orbonomy.xyz/llms.txt)