# Multi-Model Research Synthesis

> Multi-Model Research Synthesis is a paid API for AI agents from api.ai-open-models.com, paid per call via x402, $0.6051/call, status unknown (last checked 2026-10-31).

Runs a live-web research task through 2–7 open-weight analyst models, then uses a separate synthesizer model to produce one structured, cited research report reconciling agreements, disagreements, and uncertainties.

## Facts

- Endpoint: POST https://api.ai-open-models.com/v1/research/synthesis?utm_source=zero.xyz
- Price: $0.6051/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/multi-model-research-synthesis-3991c93d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tQ1xCcmYBEGgxsLVAotjz

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 multi-model-research-synthesis-3991c93d -d '<json body>'
```

Example prompt: Research the competitive landscape of the electric vehicle battery market using Qwen3.8-27B and DeepSeek-V4.1-Flash as analysts and GLM-5.3 as the synthesizer, pulling from up to 8 web sources, and give me a structured cited report that highlights where the models agree and disagree.

## When to prefer this

Choose this endpoint when you need more than raw search results or a single-model opinion — specifically when you want multiple independent AI perspectives on a research topic reconciled into one authoritative cited report. It is especially valuable for due diligence, competitive analysis, and fact-checking tasks where surfacing model disagreements and uncertainties matters. Prefer it over single-model research endpoints when the stakes are high enough to warrant cross-model validation and you need structured, traceable citations.

## Known failure modes

- Fewer than 2 or more than 7 models specified — request rejected
- Objective text exceeds 4000 characters — validation error
- Synthesizer model not in allowed enum — request rejected
- Live web retrieval fails or returns no results for the query — partial or empty report
- Model timeout or inference failure for one or more analyst models — partial synthesis with noted gaps
- Payment of 0.6051 USDC not received — 402 Payment Required response
- Date range filters exclude all available sources — empty source set

## How this service works

Conduct one live-web research task with 2-7 buyer-selected open-weight analyst models, then use a buyer-selected synthesis model to produce one structured, cited research report. Reconciles agreements, disagreements, contradictions, and uncertainties while preserving sources, analyst outputs, latency, usage, and validation results.

## Output

A structured, cited research report that includes: the synthesized narrative reconciling agreements, disagreements, contradictions, and uncertainties across all analyst models; individual analyst model outputs; source citations with URLs; validation results; per-model latency and token usage statistics.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "models": {
   "type": "array",
   "items": {
    "enum": [
     "moonshotai/kimi-k3",
     "Qwen/Qwen3.6-35B-A3B",
     "zai-org/GLM-5.2",
     "zai-org/GLM-5.3",
     "zai-org/GLM-5.3-Flash",
     "Qwen/Qwen3.8-27B",
     "deepseek-ai/DeepSeek-V4.1-Flash"
    ],
    "type": "string"
   },
   "maxItems": 7,
   "minItems": 2,
   "description": "Required list of 2 to 7 buyer-selected analyst models.",
   "uniqueItems": true
  },
  "category": {
   "enum": [
    "company",
    "publication",
    "news",
    "personal site",
    "financial report",
    "people"
   ],
   "type": "string"
  },
  "objective": {
   "type": "string",
   "maxLength": 4000,
   "minLength": 1,
   "description": "The live-web research objective analyzed independently and then synthesized."
  },
  "max_tokens": {
   "type": "integer",
   "default": 2048,
   "maximum": 4096,
   "minimum": 1024,
   "description": "Maximum completion tokens reserved separately for every analyst model."
  },
  "num_results": {
   "type": "integer",
   "default": 5,
   "maximum": 10,
   "minimum": 1,
   "description": "Maximum number of web sources to retrieve and read."
  },
  "exclude_domains": {
   "type": "array",
   "items": {
    "type": "string",
    "maxLength": 253,
    "minLength": 1
   },
   "maxItems": 10,
   "uniqueItems": true
  },
  "include_domains": {
   "type": "array",
   "items": {
    "type": "string",
    "maxLength": 253,
    "minLength": 1
   },
   "maxItems": 10,
   "uniqueItems": true
  },
  "synthesizer_model": {
   "enum": [
    "moonshotai/kimi-k3",
    "Qwen/Qwen3.6-35B-A3B",
    "zai-org/GLM-5.2",
    "zai-org/GLM-5.3",
    "zai-org/GLM-5.3-Flash",
    "Qwen/Qwen3.8-27B",
    "deepseek-ai/DeepSeek-V4.1-Flash"
   ],
   "type": "string",
   "description": "Buyer-selected model that reconciles the validated analyst outputs into the final cited report."
  },
  "end_published_date": {
   "type": "string",
   "maxLength": 64,
   "minLength": 1
  },
  "start_published_date": {
   "type": "string",
   "maxLength": 64,
   "minLength": 1
  },
  "synthesis_max_tokens": {
   "type": "integer",
   "default": 4096,
   "maximum": 8192,
   "minimum": 2048,
   "description": "Maximum completion tokens reserved for the final synthesis report."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/multi-model-research-synthesis-3991c93d/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.ai-open-models.com](https://www.zero.xyz/host/api.ai-open-models.com/llms.txt)