Overview
Jsonify deploys intelligent agents that read and extract structured data from very large numbers of sources across the web, documents, and native mobile apps. It uses ordered workflows to run collection tasks in parallel across many sites and sources, combining and massaging results into enterprise-grade outputs (datasets, dashboards, alerts, managed services). Agents can navigate complex sites, parse images and documents, fill forms to access data behind forms, and monitor changes over time. The site emphasizes pilots, managed engagements, and requests for free sample datasets rather than public pricing. Publication timestamp observed on pages: 2025-11-12T00:00:00+00:00.
Key Features
Agent-based extraction
Intelligent agents that read and extract structured data from millions of web pages, documents, and native mobile apps.
Workflow orchestration
Ordered workflows (sequences of actions) run tasks in parallel, combine results, and massaged data into unified outputs.
Cross-platform collection
Simultaneous extraction across web pages, documents, and mobile apps to produce comprehensive datasets.
Handles complex sources
Agents can navigate complex sites, parse images/documents, fill forms, authenticate, and monitor changes over time.
Enterprise outputs
Delivers structured datasets, dashboards, alerts, and managed services tailored for competitive intelligence and data engineering.
Scale & managed engagements
Positioned to handle very large workloads (claims of millions of sources) and offers pilots, managed services, and expert-configured workflows.
Who Can Use This Tool?
- Enterprise:Competitive intelligence and data engineering teams requesting large-scale, managed data collection and dashboards.
- Data engineering / CI teams:Teams seeking sample datasets, pilots, and technical validation for complex sources like mobile apps and authenticated sites.
Pricing Plans
No public pricing listed. Engagements are handled via pilots, free dataset requests, or sales-managed offerings.
- ✓Custom scoping via pilot or book-a-call
- ✓Managed workflow configuration by experts
- ✓Sample dataset requests available
Pros & Cons
✓ Pros
- ✓Cross-platform extraction across web, documents, and mobile apps
- ✓Designed for enterprise-scale workloads (claims of millions of sources)
- ✓Delivers structured datasets, dashboards, and alerts rather than raw scraping output
- ✓Offers managed services, pilots, and sample dataset requests to validate capability
- ✓Agents can handle complex site interactions, parsing images/documents, and form-based access
✗ Cons
- ✗No public pricing plans or self-serve subscription tiers found on the site
- ✗No clearly stated free trial or self-serve onboarding detected
- ✗Engagements and pricing appear sales-led (pilots/book calls) which can slow immediate evaluation
Compare with Alternatives
| Feature | Jsonify: AI Agents That Turn Millions of Sources into Enterprise-Grade Competitive Intelligence | Cimba.AI | Magical Agentic AI |
|---|---|---|---|
| Pricing | N/A | N/A | N/A |
| Rating | 8.4/10 | 8.2/10 | 8.1/10 |
| Source Coverage | Millions of sources | Broad web and enterprise connectors | Enterprise integrations focus |
| Extraction Robustness | Handles complex sources | Adaptive extraction capabilities | Strong unstructured data extraction |
| Workflow Orchestration | Yes | Yes | Yes |
| Analyst Deliverables | Enterprise-grade outputs | No-code analyst enablement | End-to-end automation outputs |
| Governance & Audit | Partial | Yes | Yes |
| Scale & Reliability | Managed enterprise scaling | Scalable architecture and agent ops | VM-based scalable self-healing runs |
| Integrations Depth | Cross-platform collection | Broad connectors and integrations | Deep enterprise integrations |
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