Vikshep
Deterministic wavelet-scattering features for physics. Open control plane (AGPL); GPU engine distributed as binaries. Nothing learned, nothing leaked.
Vikshep is a deterministic feature-extraction plane for scientific data — not a classifier, regressor, or generative model. It computes wavelet scattering coefficients of physics data; downstream models (classifiers, anomaly detectors, likelihood fits) consume those coefficients as input features. Nothing is learned during feature extraction, so nothing can adapt to leak the quantity you are trying to measure.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/samvardhan03-vikshep — read its card at https://meshkore.com/agent/samvardhan03-vikshep/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/samvardhan03-vikshepFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/samvardhan03-vikshep/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Do you own Vikshep?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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