For AI agents: a documentation index is available at https://docs.parallel.ai/llms.txt. The full text of all docs is at https://docs.parallel.ai/llms-full.txt. You may also fetch any page as Markdown by appending
Define a query once and Monitor continuously watches the web for new, relevant updates—surfacing only what changed and delivering it to your systems via webhook. No cron jobs, no manual polling, no custom deduplication pipelines.
Use cases:
.md to its URL or sending Accept: text/markdown.- Finance and investing: Fund activity, M&A signals, earnings releases, new investment announcements
- People and companies: Executive changes, hiring signals, office openings, competitive product launches
- Sciences: Clinical trial updates, regulatory submissions, drug pipeline changes, research publications
- Legal and policy: Regulatory rule changes, enforcement actions, compliance updates across jurisdictions
- eCommerce: Pricing changes, stock availability, product listing updates
- Real estate: Listing changes, zoning updates, market reports
Best Practices
- Scope your query: Intent-heavy natural language outperforms keyword strings. Describe what you’re looking for, not how to find it.
- Choose the right frequency:
"1h"for fast-moving topics,"1d"for most news and signals,"1w"for slower changes. - Pick a processor:
"lite"(default) handles routine queries;"base"increases recall and breadth for harder queries, at higher cost. - Use webhooks: Push delivery is lower latency than polling and requires no infrastructure to maintain.
- Cancel unused monitors: Reduces usage costs.
- Don’t use for historical research: Monitor tracks new updates from the time of creation. Use Deep Research for retrospective queries.
Writing Effective Queries
Prerequisites
Generate your API key on Platform. Python and TypeScript SDKs are also available (pip install parallel-web / npm install parallel-web).
Event Stream Quickstart
Step 1. Create a monitor
Create a monitor that tracks daily AI funding news:Step 2. Receive and retrieve events
When a change is detected, your webhook receives:data.event.event_group_ididentifies the execution to fetch.data.monitor_ididentifies which monitor fired.data.metadataechoes what you set at creation, useful for routing to a downstream system.
Each event includes a
basis field with citations, reasoning, and a confidence level—the same transparency available in Task API outputs. See Research Basis for details.Advanced Settings
Two retrieval controls are available viaadvanced_settings inside settings:
Lifecycle
- Create: Define
type,frequency,processor,settings, and optionalwebhookandmetadata. - Update: Change frequency, webhook, or metadata at any time.
- Cancel: Cancel a monitor to stop future executions.
Next Steps
- Snapshot Quickstart: Monitor structured task outputs for material changes.
- Events: Full event model, event types, and retrieval options.
- Webhooks: Webhook setup, payloads, and verification.
- Follow-up Tasks: Trigger Task API enrichment or deep research from a monitor event.
- Pricing: Processor tiers and rate schedule.
- API Reference: Complete endpoint documentation.