# Canon Batch Fact-Check & Academic Research

> Canon Batch Fact-Check & Academic Research is a paid API for AI agents from vert.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 results per claim

## Facts

- Endpoint: POST https://vert.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-check-academic-research-a391b898
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ih3EbSJFeJkf8soh9fM12

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-a391b898 -d '<json body>'
```

Example prompt: Can you fact-check these three claims for me using Canon: '1. Aspirin was invented in 1897', '2. The Amazon rainforest produces 20% of the world's oxygen', and '3. Einstein failed math as a child' — and pull any relevant academic sources?

## When to prefer this

Use Canon when you need to batch-verify multiple factual claims simultaneously, especially when academic sourcing or peer-reviewed evidence is required. Prefer this over single-call endpoints when you have 2+ claims to check in one transaction, or when the use case demands citations from journals rather than just web-based fact-checking.

## Known failure modes

- Empty or malformed claims array returns validation error
- Claims array missing from request body returns 400-level error
- Ambiguous or extremely vague claims may return low-confidence or inconclusive results
- Rate limiting or payment failure (insufficient USDC balance) returns 402 Payment Required
- Service downtime returns 5xx error with no 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 per-claim verification results, including whether each claim is supported, contradicted, or unverifiable, along with relevant academic references or journal citations found during the search.

## 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-a391b898/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from vert.orbonomy.xyz](https://www.zero.xyz/host/vert.orbonomy.xyz/llms.txt)