Murali Gour

Murali Gour

Digital Marketing Manager
#967291619 followers6 following
☀️ 2 day streak
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48 KP

About

Developer advocate passionate about Agentic AI, AI developer tools, and building products that empower engineers to ship faster. I love exploring autonomous AI systems, developer ecosystems, growth strategies, and emerging AI workflows while connecting with builders across the tech community.

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Forums

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1mo ago

DataGrout Data - Deterministic JSON ops for AI agents, zero LLM cost

DataGrout Data is a suite of deterministic JSON manipulation tools built for AI agents. It filters, sorts, aggregates, merges, flattens, and maps out JSON payloads through MCP tools. Agents handling raw API responses often waste context window space or rely on Python sidecars just to reshape data. Data removes both problems with deterministic operations, no AI generation, and zero DataGrout credit cost. Built into DataGrout’s intelligence layer with cache ref support for large datasets.
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2mo ago

DataGrout Frame - Columnar data ops for AI agents — filter, pivot, join

Frame is DataGrout's columnar data operations tool for AI agents. It filters, sorts, groups, pivots, joins, and slices tabular records directly as MCP tools. Agents today bloat context windows or need Python sidecars just to reshape data, Frame eliminates that entirely. Pure deterministic operations, no AI generation, no extra runtime, zero credit cost. Composes natively in DataGrout intelligence layer with cache ref support for large datasets.
DataGrout p/datagrout-ai•

2mo ago

We built a diff analyzer that scores whether a code change matched the stated goal

One of the core tools in Invariant is diff_analyzer.

You give it:

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