Beton Inspector vs Predict.ai

Beton Inspector finds potential revenue signals in product data, checks them against historical records, and sends selected signals to a CRM. Its agent proposes hypotheses suited to a company’s schema; candidates are backtested before going live. Listed data sources are Postgres, PostHog, Stripe, and Firecrawl, while destinations include Attio, Apollo, and webhooks. For Attio, Beton can create or update records with field-level mapping and says it preserves user-entered data. Webhooks use HMAC-signed JSON, retries with backoff, and delivery logs. The maker says Beton reads events without storing customers’ product data, and that self-hosting keeps data on the customer’s infrastructure. It requires read-only access to a Postgres warehouse or PostHog project and does not write to source systems. The software is open source under AGPLv3 and can be modified and self-hosted. Self-Hosted is free, with weekly sync and detection; Cloud is $0.50 a month per tracked user, with daily runs. Enterprise is custom-priced and runs every four hours.

Predict.ai finds possible drivers of business outcomes, compares forecasting models against historical data, and updates deployed forecasts as incoming data changes. Users select an outcome and forecast horizon; the platform searches for drivers, backtests models, deploys a result, and reevaluates it over time. Its workspace surfaces trends, anomalies, recurring patterns, correlations, lead-lag relationships, and leading indicators. Scenario tools let users alter a driver or schedule an event to compare a forecast with its baseline, but this does not establish causation. Data inputs include uploads, REST, Kafka, S3, BigQuery, PostgreSQL, and webhooks. Forecasts can be served through hosted REST, streaming, or batch inference endpoints, with quantile bands in responses. The maker also lists a REST API, Python and TypeScript SDKs, WebSockets, and MCP support for AI agents. The Free plan costs nothing and is capped at 500 credits monthly. Starter costs $149 a month, and Team costs $2,499 a month. Predict.ai says workspace data is isolated and not used to train shared or other customers' models.