Nano vs TokenPath

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and...

One API to ground every generated token in its source, for output from any model. TokenPath measures attention directly, not the LLM's self-report, to return...

About Nano

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and deployment control in one place. Run nano in the cloud, locally, hybrid, or air-gapped. nano was built from scratch, not refactored: a dedicated cluster, one query language over your security and OpenTelemetry data, agentic investigation, and deployment options from cloud to air-gapped. So when a service slows down, "is this an outage or a breach?" is one query, not two tools and a guess.

About TokenPath

One API to ground every generated token in its source, for output from any model. TokenPath measures attention directly, not the LLM's self-report, to return machine-readable, token-level citations your product can act on. You get back a list of attributions: each attribution is an answer span, the corresponding document span, and how confident the match is, enough to highlight it, cite it, or log it in a few lines. For the advanced raw token-by-token map, use /v1/attributions/heatmap .