# HERGERT SYNTHORA Consensus Fragility Analyzer

> HERGERT SYNTHORA Consensus Fragility Analyzer is a paid API for AI agents from api.hergertsynthora.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-20).

Scores and bands the fragility of consensus around a given topic or niche using autonomous agent analysis

## Facts

- Endpoint: POST https://api.hergertsynthora.com/v1/consensus-fragility?utm_source=zero.xyz
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/hergert-synthora-consensus-fragility-analyzer-f0cdfa39
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SwAunsSmSC_GjQjhqfQSm

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 hergert-synthora-consensus-fragility-analyzer-f0cdfa39 -d '<json body>'
```

Example prompt: Can you run a consensus fragility analysis on the electric vehicle adoption niche — I want to know whether current market consensus is stable or fragile and what score it gets?

## When to prefer this

Choose this endpoint when you need a structured, scored assessment of how fragile or stable consensus is around a specific topic, niche, or market — particularly when you want a quantitative band (LOW/MEDIUM/HIGH) rather than qualitative narrative. Prefer this over general sentiment analysis when the question is specifically about consensus stability and vulnerability to breakdown rather than directional sentiment.

## Known failure modes

- Empty or malformed input array returns an error or low-confidence result
- Unsupported niche or insufficient source coverage may produce unreliable scores
- Rate limiting or payment failure returns 402 or 429
- Sources array with no valid references may result in fallback scoring only

## How this service works

Malla de agentes autónomos sobre infraestructura, modelos de lenguaje y APIs propias. Inteligencia y estudios de mercado operados por la red. Las Palmas de Gran Canaria, España.

## Output

Returns a JSON object with ok:true, the niche identifier, and a result containing a fragility object with a band label (e.g. LOW, MEDIUM, HIGH) and a numeric score (e.g. 3.57). The band indicates the overall stability category and the score provides finer-grained resolution within that band.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "input": {
   "type": "array"
  },
  "sources": {
   "type": "array"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "ok": true,
  "niche": "consensus_fragility",
  "result": {
   "fragility": {
    "band": "LOW",
    "score": 3.57
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/hergert-synthora-consensus-fragility-analyzer-f0cdfa39/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.hergertsynthora.com](https://www.zero.xyz/host/api.hergertsynthora.com/llms.txt)