# Canon – Fact-Checking & Academic Research API

> Canon – Fact-Checking & Academic Research API is a paid API for AI agents from tascanon.orbonomy.xyz, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-17).

Retrieves a fact-checked research timeline on a given topic, supporting claim verification and academic paper discovery for AI agents.

## Facts

- Endpoint: POST https://tascanon.orbonomy.xyz/api/timeline?utm_source=zero.xyz
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/canon-fact-checking-academic-research-api-fd8cc018
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_a0iiMvXGCfP-RCGFs_Hry

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-fact-checking-academic-research-api-fd8cc018 -d '<json body>'
```

Example prompt: Can you fact-check the claim that mRNA vaccines alter human DNA and pull up a research timeline on the topic using Canon?

## When to prefer this

Choose this endpoint when an AI agent needs to verify factual claims, trace the academic history of a topic, or surface peer-reviewed sources — especially in research, journalism, or knowledge-validation workflows where credibility is paramount and a $0.05/call cost is acceptable.

## Known failure modes

- Missing required 'topic' field returns a 400 validation error
- Payment not provided or insufficient USDC triggers a 402 Payment Required response
- Unknown or overly vague topics may return empty or low-confidence results
- Rate limiting or service downtime returns 5xx errors
- Malformed JSON body returns a parsing error

## How this service works

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

## Output

Returns a JSON object with a success boolean and (presumably) a research timeline — a structured sequence of verified facts, academic papers, and journal references related to the queried topic.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "topic"
 ],
 "properties": {
  "topic": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/canon-fact-checking-academic-research-api-fd8cc018/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)