# Canon Batch Fact-Checking & Academic Research

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

Batch-verify multiple claims and search academic papers/journals for AI agents via a single API call

## Facts

- Endpoint: POST https://tascanon.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-f6189e7c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_P2qt87AF_wfK_kcTRzcmE

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-f6189e7c -d '<json body>'
```

Example prompt: Can you fact-check these three claims for me: 'Aspirin reduces fever by inhibiting COX enzymes', 'The Great Wall of China is visible from space', and 'Vitamin C cures the common cold' — find academic sources and tell me which ones hold up?

## When to prefer this

Choose this endpoint when you need to verify multiple claims in a single call rather than one at a time, especially when you require academic or peer-reviewed sourcing. Ideal for research assistants, journalism tools, or any agent that needs to cross-reference factual statements against scholarly literature at scale. Prefer over single-claim endpoints when processing lists of assertions efficiently.

## Known failure modes

- Empty or malformed claims array returns validation error
- Claims array missing entirely returns 400-level error
- Unparseable claim text may return low-confidence or null result
- Payment failure (x402) if USDC not provided or insufficient — returns 402 Payment Required
- Rate limiting if too many concurrent batch requests
- Overly vague or ambiguous claims may return 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 per-claim verification results, including accuracy assessments and supporting or refuting academic references, journal sources, and scholarly evidence for each submitted claim.

## 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-f6189e7c/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from tascanon.orbonomy.xyz](https://www.zero.xyz/host/tascanon.orbonomy.xyz/llms.txt)