Plain-language agent building
Describe a recurring process in plain language, then ship an agent that can run it. The homepage presents this as the starting point for building production workflows.
Parabola
Freemium
Plataforma de agentes de IA que automatiza tarefas recorrentes de dados para equipes de operações e finanças.
O que é Parabola?
Parabola is an AI agent platform for operations and finance teams that need to automate recurring, data-heavy work. It is designed around a visual workflow model: users describe a messy process, Parabola builds an agent, and the resulting steps can be reviewed, adjusted, and run at production scale.
The product emphasizes transparency and control. The site shows agents pulling from multiple systems, standardizing data, comparing results, and producing a documented output that can be scheduled, shared, and audited. Business plans add team features such as deployment support, role-based permissions, version history, and enterprise security controls.
O que Parabola pode fazer?
Step-by-step workflow documentation
Parabola documents each step of the workflow as it builds, so the resulting agent can be reviewed and edited as a visual process instead of a black box.
Scheduled and triggered execution
Agents can be connected to existing tools, scheduled to run automatically, and triggered by events. The homepage also shows use of retries, failure alerts, and run logs.
Data transformation and reconciliation
The platform supports row-level and table-level transformations such as standardizing SKUs, joining data from multiple systems, comparing quantities, and generating summaries or gate conditions.
Governance and auditability
Business plans include role-based access controls, version history, rollback, centralized integration governance, and audit trails for agent runs.
Pre-built and native integrations
The pricing page says Parabola provides pre-built integrations and can connect to common data sources, including ERP, warehouse, APIs, email, and file systems.
Casos de uso
“Inventory reconciliation”
Pull inventory from systems such as an ERP, storefront, and shipping tool, normalize the identifiers, and compare quantities to find mismatches before they create downstream problems.
“Carrier invoice auditing”
Bring together invoices and rate-card data to spot rate, zone, weight, or accessorial overcharges before payment.
“Sales channel consolidation”
Normalize sales data from channels such as Shopify, Amazon, retail, and wholesale into a single reporting table without rebuilding the report every cycle.
“Automated operational reporting”
Build and schedule recurring operational reports that combine data, calculate totals or variances, and send a clean summary only when attention is needed.
Perguntas frequentes
What is the difference between self-serve and Business plans?
Parabola’s self-serve plans are designed for individual users, while Business plans are built for teams that want hands-on support, multiple users, and enterprise-grade security and governance features.
How does credit-based pricing work?
Credits are consumed when agents run, not while you build them. The plan includes a monthly credit allowance, and additional credits can be added as usage grows. The pricing page also says complex tasks use more credits than simple ones.
Is there a free way to try Parabola?
Yes. Self-serve plans include a free tier, and Business customers begin with a proof of concept built with Parabola’s automation engineering team. If value is not proven, the customer can walk away at no cost.
Can a team start self-serve and upgrade later?
Yes. The pricing page says customers can start on a self-serve plan and later upgrade to a Business plan after proving value.
Informações rápidas
- Category
- AI agent platform
- Primary users
- Ops and finance teams
- Pricing model
- Self-serve and Business plans; credits are consumed when agents run
- Platform model
- Visual agents with documented steps and audit trail
- Website
- parabola.io
- Security page highlights
- SOC 2 Type II, SSO/SAML, role-based access, encryption in transit and at rest
Análise de tráfego de Parabola
Os dados de tráfego são apenas para referência.
- Classificação do domínio
- 66
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