Multi-Model Research Synthesis

x402

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.

Price / call$0.6051

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StatusUnknown

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.

Example use cases

Corporate due diligence research report

“I need a full due diligence report on Anthropic — use moonshotai/kimi-k3 and Qwen/Qwen3.8-27B as analysts and zai-org/GLM-5.3 to synthesize, look at up to 7 web sources, and make sure the report notes any contradictions between what the models found.”

Breaking news multi-angle fact synthesis

“Research the latest developments in the US-China semiconductor trade restrictions, treating it as a news category — use Qwen/Qwen3.6-35B-A3B, deepseek-ai/DeepSeek-V4.1-Flash, and zai-org/GLM-5.2 as analysts with moonshotai/kimi-k3 synthesizing, pulling from up to 10 sources published after January 1 2025.”

Financial report analysis and synthesis

“Analyze Tesla's most recent annual financial report using three analyst models — deepseek-ai/DeepSeek-V4.1-Flash, Qwen/Qwen3.8-27B, and zai-org/GLM-5.3-Flash — with zai-org/GLM-5.3 as the synthesizer, category set to financial report, and give me a cited structured report of up to 6000 synthesis tokens.”

Technical details

Endpoint

POSThttps://api.ai-open-models.com/v1/research/synthesis?utm_source=zero.xyz

When to prefer

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.

Side effects

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

Input

Schema · Request body

Field	Type	Description
models	array	Required list of 2 to 7 buyer-selected analyst models.
category	string
objective	string	The live-web research objective analyzed independently and then synthesized.
max_tokens	integer	Maximum completion tokens reserved separately for every analyst model.
num_results	integer	Maximum number of web sources to retrieve and read.
exclude_domains	array
include_domains	array
synthesizer_model	string	Buyer-selected model that reconciles the validated analyst outputs into the final cited report.
end_published_date	string
start_published_date	string
synthesis_max_tokens	integer	Maximum completion tokens reserved for the final synthesis report.

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