# SYNTHORA Research Pack

> SYNTHORA Research Pack is a paid API for AI agents from research-pack.hergertsynthora.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-19).

Synthesizes research evidence for a decision question, weighing source quality, contradictions, uncertainty, and practical implications using Qwen3-27B

## Facts

- Endpoint: POST https://research-pack.hergertsynthora.com/service?utm_source=zero.xyz
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/synthora-research-pack-82a95a08
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ATHJnwYdocq16A-09jPFG

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 synthora-research-pack-82a95a08 -d '<json body>'
```

Example prompt: I'm trying to decide whether to adopt a low-carb diet — can you synthesize the research on its long-term cardiovascular effects, weigh the quality of the evidence, flag any contradictions, and tell me what the data actually recommends?

## When to prefer this

Choose this endpoint when you need a structured, reasoned synthesis of evidence for a specific decision — not just a summary. It is especially valuable when you have conflicting sources, want an explicit confidence score, need contradictions surfaced, or require a concrete recommended action rather than a general overview. Prefer it over raw LLM prompting when you need the output in a consistent schema (facts, sources, inferences, limitations, confidence, recommendation) that a downstream agent or workflow can parse reliably.

## Known failure modes

- Missing or vague question field returns an error or low-quality synthesis
- Insufficient context provided leads to low confidence score and broad limitations
- Very niche or obscure topic may yield few facts and hedged recommendations
- Contradictory evidence without clear resolution may return an inconclusive decision field
- Payment failure via x402 prevents execution entirely

## How this service works

Research synthesis for a decision: weigh source quality, contradictions, uncertainty and practical implications in the supplied evidence. Qwen3.8-27B; 0.005 USDC on Base.

## Output

Returns a structured JSON object containing extracted facts, cited sources, a decision summary, freshness assessment of the evidence, a numeric confidence score (0-1), inferences drawn, known limitations, contradictions identified across sources, and a concrete recommended action based on the synthesized evidence.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "question": {
   "type": "string",
   "description": "Decision question with optional evidence/context"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "ok": true,
  "niche": "research_pack",
  "result": {
   "facts": [],
   "sources": [],
   "decision": "...",
   "freshness": "...",
   "confidence": 0,
   "inferences": [],
   "limitations": [],
   "contradictions": [],
   "recommended_action": "..."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/synthora-research-pack-82a95a08/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from research-pack.hergertsynthora.com](https://www.zero.xyz/host/research-pack.hergertsynthora.com/llms.txt)