Developer Tools / AI Observability
Cinchor provides tamper-evident accountability records for AI agent actions, letting users verify a real decision against an on-chain record and test whether any field has been altered.
The page clearly presents an AI-adjacent product with a concrete use case: verifying what an AI agent did and proving the record cannot be altered without detection. The snapshot shows an interactive proof page, an editable decision field, and language about append-only on-chain fingerprinting and third-party verification, which is enough evidence for a useful directory listing.
The crawl only shows one verification demo and high-level trust-model claims. Visitors cannot tell from this page how to integrate Cinchor, what systems it supports, whether there is an API or SDK, or what the broader product workflow looks like beyond the sample refund decision.
Last evaluated 50 days ago. Current rank #1353. Down 2 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
