Rectify (formerly Replicate So) vs Micro1

Rectify gives SaaS founders one developer-focused workspace to catch bugs, replay user sessions, monitor uptime, and run support without switching between a dozen tools. The product rebranded from Replicate and now centers on Quanta, an operations agent you steer through conversation rather than dashboards.

Most bug trackers make you configure filters and query builders before you see anything useful. Rectify flips that: you ask Quanta to surface rage-click sessions, draft changelogs from commits, or triage inbox patterns in plain English. The Chrome extension fits teams shipping with Cursor, Lovable, Bolt, Replit, or v0, capturing annotated screenshots, Loom clips, console logs, and network data with each report.

The stack covers monitoring across HTTP, HTTPS, TCP, DNS, and ICMP, on-demand GitHub code scans with file-level findings, roadmaps, changelogs, workflows, and an MCP server that links Claude or Cursor to your scan and feedback data. The site lists 100+ integrations and powers more than 1,000 products.

Pricing uses bring-your-own-key AI: connect OpenAI, Claude, Gemini, Deepseek, or Open Router with zero markup. Paid plans from $29 per month include a 14-day trial with no credit card, and an Idea tier stays free for solo builders.

Micro1 runs a data lab that supplies expert human demonstrations, RL training environments, and contextual evaluations for frontier AI models and production agents. Its Realm product builds real-world scenarios for legal, pathology, and financial reasoning benchmarks, while Cortex monitors and improves agent performance after deployment. Robotics teams tap Micro1 for high-fidelity embodied data, and the expert network feeds labeled tasks back into model training pipelines.

Hiring-focused vetting platforms test candidates once, but Micro1 sells ongoing evaluation infrastructure for labs shipping agentic products. Realm publishes public leaderboards comparing Claude, Kimi, and other frontier models on domain-specific tasks, which generic benchmark suites rarely cover. The trade-off is access: pricing is quote-based through sales forms rather than self-serve dashboards, so it targets AI labs and enterprises, not individual developers running a single coding screen.

AI research teams use Micro1 Realm benchmarks to stress-test legal and clinical reasoning. Production engineering groups adopt Cortex to watch how agents behave on live workflows. Robotics and government partners source expert-labeled data when synthetic datasets fail to capture real-world edge cases.