Parallel
Pricing
Benchmarks
Blog
Docs
Products:[Search API](https://parallel.ai/products/search)[Extract API](https://docs.parallel.ai/extract/extract-quickstart)[Task API](https://parallel.ai/products/task)[FindAll API](https://parallel.ai/products/findall)[Monitor API](https://docs.parallel.ai/monitor-api/monitor-quickstart)[Chat API](https://docs.parallel.ai/chat-api/chat-quickstart)
[Pricing](https://parallel.ai/pricing)[Benchmarks](https://parallel.ai/benchmarks)[Blog](https://parallel.ai/blog)[Docs](https://docs.parallel.ai/home)
Contact
C
[Contact](https://form.fillout.com/t/rv6fubdwwuus)Log In / Sign Up
P
[Log In / Sign Up](https://platform.parallel.ai/)
[Menu]

# Introducing structured outputs for the Monitor API

Tags:Product Release
Reading time: 3 min
Introducing structured outputs for the Monitor API

Today, we're releasing structured outputs for the Monitor API, giving you precise control over what information you receive when new events appear on the web.

When we launched the Monitor API last year, it introduced a fundamentally new pattern for web intelligence: instead of pulling information on demand, you could create queries that push notifications when relevant content appears. But the output format was limited; each match returned a URL and unstructured text, leaving downstream processing to your application.

With structured outputs, you now define exactly what fields you want extracted from each event. A monitor tracking competitor launches can return structured objects with product name, release date, key features, and pricing, ready for direct integration into your workflows without additional parsing or extraction steps.

## **How structured outputs works**

Illustration demonstrating deep research API concepts, web search capabilities, or AI agent integration features
![](https://cdn.sanity.io/images/5hzduz3y/production/68b8ba537ff8eda970b4e148a7586029c0623618-5396x3240.jpg)

Previously, a monitor tracking industry news would return matches as raw URL and text pairs. Your agent/application would need to parse, extract, and structure the relevant information before it could be used in downstream systems.

With structured outputs enabled, you can now define a schema specifying exactly what you want to know about each event. The Monitor API does the work of extracting and validating these fields automatically, returning structured objects that match your specification.

For example, a monitor that tracks funding announcements might define:

  • - **company_name**: The company that raised funding
  • - **round_type**: Series A, B, C, or other round designation
  • - **amount**: Funding amount in USD
  • - **lead_investors**: List of lead investors in the round
  • - **announced_date**: When the funding was announced

Each match now returns a validated object with these fields populated.

## How to enable it

Define your output schema when creating a monitor:

### Define the output schema for your monitor
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
curl --request POST \ --url https://api.parallel.ai/v1alpha/monitors \ --header 'Content-Type: application/json' \ --header "x-api-key: $PARALLEL_API_KEY" \ --data '{ "query": "monitor ai news", "cadence": "daily", "output_schema": { "type": "json", "json_schema": { "type": "object", "properties": { "company_name": { "type": "string", "description": "Name of the company the news is about, NA if not company-specific" }, "sentiment": { "type": "string", "description": "Sentiment of the news: positive or negative" }, "description": { "type": "string", "description": "Brief description of the news" } } } } }'```
curl --request POST \
--url https://api.parallel.ai/v1alpha/monitors \
--header 'Content-Type: application/json' \
--header "x-api-key: $PARALLEL_API_KEY" \
--data '{
"query": "monitor ai news",
"cadence": "daily",
"output_schema": {
"type": "json",
"json_schema": {
"type": "object",
"properties": {
"company_name": {
"type": "string",
"description": "Name of the company the news is about, NA if not company-specific"
},
"sentiment": {
"type": "string",
"description": "Sentiment of the news: positive or negative"
},
"description": {
"type": "string",
"description": "Brief description of the news"
}
}
}
}
}'
```


Each event delivered by the monitor will now conform to your schema.

## **Start building**

Structured outputs is available today for the Monitor API. Get started in our Developer Platform[Developer Platform]($https://platform.parallel.ai/) or dive into the documentation[documentation]($https://docs.parallel.ai/monitor-api/monitor-structured-outputs).

**About Parallel Web Systems**

Parallel develops critical web search infrastructure for AI. Our suite of web search and agent APIs is built on a rapidly growing proprietary index of the global internet. These solutions transform human tasks that previously took days and weeks into agentic tasks that now take seconds and minutes.

Fortune 100 and 500 companies use Parallel's web intelligence APIs in insurance, finance, and retail workflows to automate critical business functions. Leading AI-native businesses like Starbridge, Amp, and Day AI use Parallel to support core features like public sector contract monitoring, documentation lookup, and GTM operations.


Parallel avatar

By Parallel

January 21, 2026

## Related Posts44

Product release: Research Models with Basis for the Parallel Chat API

- [Introducing research models with Basis for the Parallel Chat API](https://parallel.ai/blog/research-models-chat)

Tags:Product Release
Reading time: 2 min
Parallel + Cerebras
Parallel avatar

- [Build a real-time fact checker with Parallel and Cerebras](https://parallel.ai/blog/cerebras-fact-checker)

Tags:Cookbook
Reading time: 5 min
DeepSearch QA: Task API
Parallel avatar

- [Parallel Task API achieves state-of-the-art accuracy on DeepSearchQA](https://parallel.ai/blog/deepsearch-qa)

Tags:Benchmarks
Reading time: 3 min
Product release: Granular Basis
Parallel avatar

- [Introducing Granular Basis for the Task API](https://parallel.ai/blog/granular-basis-task-api)

Tags:Product Release
Reading time: 3 min
How Amp’s coding agents build better software with Parallel Search
Parallel avatar

- [How Amp’s coding agents build better software with Parallel Search](https://parallel.ai/blog/case-study-amp)

Tags:Case Study
Reading time: 3 min
Latency improvements on the Parallel Task API
Parallel avatar

- [Latency improvements on the Parallel Task API ](https://parallel.ai/blog/task-api-latency)

Tags:Product Release
Reading time: 3 min
Product release: Extract
Parallel avatar

- [Introducing Parallel Extract](https://parallel.ai/blog/introducing-parallel-extract)

Tags:Product Release
Reading time: 2 min
FindAll API - Product Release
Parallel avatar

- [Introducing Parallel FindAll](https://parallel.ai/blog/introducing-findall-api)

Tags:Product Release,Benchmarks
Reading time: 4 min
Product release: Monitor API
Parallel avatar

- [Introducing Parallel Monitor](https://parallel.ai/blog/monitor-api)

Tags:Product Release
Reading time: 3 min
Parallel raises $100M Series A to build web infrastructure for agents
Parallel avatar

- [Parallel raises $100M Series A to build web infrastructure for agents](https://parallel.ai/blog/series-a)

Tags:Fundraise
Reading time: 3 min
How Macroscope reduced code review false positives with Parallel
Parallel avatar

- [How Macroscope reduced code review false positives with Parallel](https://parallel.ai/blog/case-study-macroscope)

Reading time: 2 min
Product release - Parallel Search API
Parallel avatar

- [Introducing Parallel Search](https://parallel.ai/blog/introducing-parallel-search)

Tags:Benchmarks
Reading time: 7 min
Benchmarks: SealQA: Task API
Parallel avatar

- [Parallel processors set new price-performance standard on SealQA benchmark](https://parallel.ai/blog/benchmarks-task-api-sealqa)

Tags:Benchmarks
Reading time: 3 min
Introducing LLMTEXT, an open source toolkit for the llms.txt standard
Parallel avatar

- [Introducing LLMTEXT, an open source toolkit for the llms.txt standard](https://parallel.ai/blog/LLMTEXT-for-llmstxt)

Tags:Product Release
Reading time: 7 min
Starbridge + Parallel
Parallel avatar

- [How Starbridge powers public sector GTM with state-of-the-art web research](https://parallel.ai/blog/case-study-starbridge)

Tags:Case Study
Reading time: 4 min
Building a market research platform with Parallel Deep Research
Parallel avatar

- [Building a market research platform with Parallel Deep Research](https://parallel.ai/blog/cookbook-market-research-platform-with-parallel)

Tags:Cookbook
Reading time: 4 min
How Lindy brings state-of-the-art web research to automation flows
Parallel avatar

- [How Lindy brings state-of-the-art web research to automation flows](https://parallel.ai/blog/case-study-lindy)

Tags:Case Study
Reading time: 3 min
Introducing the Parallel Task MCP Server
Parallel avatar

- [Introducing the Parallel Task MCP Server](https://parallel.ai/blog/parallel-task-mcp-server)

Tags:Product Release
Reading time: 4 min
Introducing the Core2x Processor for improved compute control on the Task API
Parallel avatar

- [Introducing the Core2x Processor for improved compute control on the Task API](https://parallel.ai/blog/core2x-processor)

Tags:Product Release
Reading time: 2 min
How Day AI merges private and public data for business intelligence
Parallel avatar

- [How Day AI merges private and public data for business intelligence](https://parallel.ai/blog/case-study-day-ai)

Tags:Case Study
Reading time: 4 min
Full Basis framework for all Task API Processors
Parallel avatar

- [Full Basis framework for all Task API Processors](https://parallel.ai/blog/full-basis-framework-for-task-api)

Tags:Product Release
Reading time: 2 min
Building a real-time streaming task manager with Parallel
Parallel avatar

- [Building a real-time streaming task manager with Parallel](https://parallel.ai/blog/cookbook-sse-task-manager-with-parallel)

Tags:Cookbook
Reading time: 5 min
How Gumloop built a new AI automation framework with web intelligence as a core node
Parallel avatar

- [How Gumloop built a new AI automation framework with web intelligence as a core node](https://parallel.ai/blog/case-study-gumloop)

Tags:Case Study
Reading time: 3 min
Introducing the TypeScript SDK
Parallel avatar

- [Introducing the TypeScript SDK](https://parallel.ai/blog/typescript-sdk)

Tags:Product Release
Reading time: 1 min
Building a serverless competitive intelligence platform with MCP + Task API
Parallel avatar

- [Building a serverless competitive intelligence platform with MCP + Task API](https://parallel.ai/blog/cookbook-competitor-research-with-reddit-mcp)

Tags:Cookbook
Reading time: 6 min
Introducing Parallel Deep Research reports
Parallel avatar

- [Introducing Parallel Deep Research reports](https://parallel.ai/blog/deep-research-reports)

Tags:Product Release
Reading time: 2 min
BrowseComp / DeepResearch: Task API
Parallel avatar

- [A new pareto-frontier for Deep Research price-performance](https://parallel.ai/blog/deep-research-benchmarks)

Tags:Benchmarks
Reading time: 4 min
Building a Full-Stack Search Agent with Parallel and Cerebras
Parallel avatar

- [Building a Full-Stack Search Agent with Parallel and Cerebras](https://parallel.ai/blog/cookbook-search-agent)

Tags:Cookbook
Reading time: 5 min
Webhooks for the Parallel Task API
Parallel avatar

- [Webhooks for the Parallel Task API](https://parallel.ai/blog/webhooks)

Tags:Product Release
Reading time: 2 min
Introducing Parallel: Web Search Infrastructure for AIs
Parallel avatar

- [Introducing Parallel: Web Search Infrastructure for AIs ](https://parallel.ai/blog/introducing-parallel)

Tags:Benchmarks,Product Release
Reading time: 6 min
Introducing SSE for Task Runs
Parallel avatar

- [Introducing SSE for Task Runs](https://parallel.ai/blog/sse-for-tasks)

Tags:Product Release
Reading time: 2 min
A new line of advanced Processors: Ultra2x, Ultra4x, and Ultra8x
Parallel avatar

- [A new line of advanced Processors: Ultra2x, Ultra4x, and Ultra8x ](https://parallel.ai/blog/new-advanced-processors)

Tags:Product Release
Reading time: 2 min
Introducing Auto Mode for the Parallel Task API
Parallel avatar

- [Introducing Auto Mode for the Parallel Task API](https://parallel.ai/blog/task-api-auto-mode)

Tags:Product Release
Reading time: 1 min
A linear dithering of a search interface for agents
Parallel avatar

- [A state-of-the-art search API purpose-built for agents](https://parallel.ai/blog/search-api-benchmark)

Tags:Benchmarks
Reading time: 3 min
Parallel Search MCP Server in Devin
Parallel avatar

- [Parallel Search MCP Server in Devin](https://parallel.ai/blog/parallel-search-mcp-in-devin)

Tags:Product Release
Reading time: 2 min
Introducing Tool Calling via MCP Servers
Parallel avatar

- [Introducing Tool Calling via MCP Servers](https://parallel.ai/blog/mcp-tool-calling)

Tags:Product Release
Reading time: 2 min
Introducing the Parallel Search MCP Server
Parallel avatar

- [Introducing the Parallel Search MCP Server ](https://parallel.ai/blog/search-mcp-server)

Tags:Product Release
Reading time: 2 min
Starting today, Source Policy is available for both the Parallel Task API and Search API - giving you granular control over which sources your AI agents access and how results are prioritized.
Parallel avatar

- [Introducing Source Policy](https://parallel.ai/blog/source-policy)

Tags:Product Release
Reading time: 1 min
The Parallel Task Group API
Parallel avatar

- [The Parallel Task Group API](https://parallel.ai/blog/task-group-api)

Tags:Product Release
Reading time: 1 min
State of the Art Deep Research APIs
Parallel avatar

- [State of the Art Deep Research APIs](https://parallel.ai/blog/deep-research)

Tags:Benchmarks
Reading time: 3 min
Introducing the Parallel Search API
Parallel avatar

- [Parallel Search API is now available in alpha](https://parallel.ai/blog/parallel-search-api)

Tags:Product Release
Reading time: 2 min
Introducing the Parallel Chat API - a low latency web research API for web based LLM completions. The Parallel Chat API returns completions in text and structured JSON format, and is OpenAI Chat Completions compatible.
Parallel avatar

- [Introducing the Parallel Chat API ](https://parallel.ai/blog/chat-api)

Tags:Product Release
Reading time: 1 min
Parallel Web Systems introduces Basis with calibrated confidences - a new verification framework for AI web research and search API outputs that sets a new industry standard for transparent and reliable deep research.
Parallel avatar

- [Introducing Basis with Calibrated Confidences ](https://parallel.ai/blog/introducing-basis-with-calibrated-confidences)

Tags:Product Release
Reading time: 4 min
The Parallel Task API is a state-of-the-art system for automated web research that delivers the highest accuracy at every price point.
Parallel avatar

- [Introducing the Parallel Task API](https://parallel.ai/blog/parallel-task-api)

Tags:Product Release,Benchmarks
Reading time: 4 min
![Company Logo](https://parallel.ai/parallel-logo-540.png)

Contact

  • hello@parallel.ai[hello@parallel.ai](mailto:hello@parallel.ai)

Products

  • Search API[Search API](https://parallel.ai/products/search)
  • Extract API[Extract API](https://docs.parallel.ai/extract/extract-quickstart)
  • Task API[Task API](https://docs.parallel.ai/task-api/task-quickstart)
  • FindAll API[FindAll API](https://docs.parallel.ai/findall-api/findall-quickstart)
  • Chat API[Chat API](https://docs.parallel.ai/chat-api/chat-quickstart)
  • Monitor API[Monitor API](https://platform.parallel.ai/play/monitor)

Resources

  • About[About](https://parallel.ai/about)
  • Pricing[Pricing](https://parallel.ai/pricing)
  • Docs[Docs](https://docs.parallel.ai)
  • Blog[Blog](https://parallel.ai/blog)
  • Changelog[Changelog](https://docs.parallel.ai/resources/changelog)
  • Careers[Careers](https://jobs.ashbyhq.com/parallel)

Info

  • Terms of Service[Terms of Service](https://parallel.ai/terms-of-service)
  • Customer Terms[Customer Terms](https://parallel.ai/customer-terms)
  • Privacy[Privacy](https://parallel.ai/privacy-policy)
  • Acceptable Use[Acceptable Use](https://parallel.ai/acceptable-use-policy)
  • Trust Center[Trust Center](https://trust.parallel.ai/)
![SOC 2 Compliant](https://parallel.ai/soc2.svg)
LinkedIn[LinkedIn](https://www.linkedin.com/company/parallel-web/about/)Twitter[Twitter](https://x.com/p0)GitHub[GitHub](https://github.com/parallel-web)
All Systems Operational

Parallel Web Systems Inc. 2026