💃 Dance & Choreography · dance data annotation

Kinetix · x402

$0.01 — Tag a frame. Precision choreography requires structured data. Input a CID, apply skeletal metadata, and sign the HTS transfer to pin the annotation. Pay-per-tag model enables rapid crowdsourcing of large-scale dance datasets for training autonomous motion models. Every mapping is a settled transaction on Hedera.

Hedera testnet + x402 paywall· x402 native
Section · Onchain

The primitive.

full primer →

Access to the dance data annotation engine is metered with x402: 0.01 HBAR or 0.01 HTS USDC per call, paid from the embedded wallet, so choreographers — or the agents working for them — pay per query and get a HashScan receipt every time.

Why this primitiveBy transforming metadata entry into a micro-transaction, the platform incentivizes high-fidelity human labeling of movement—a prerequisite for AI dance synthesis. The x402 integration ensures the annotator is paid instantly and the data is verified via the transaction hash.

Kernel
an x402 v2 paywall metering access at 0.01 HBAR or 0.01 HTS USDC (token 0.0.429274) per call, paid from the embedded wallet through the relay and verified by a self-hosted facilitator against the Hedera mirror node
Drives the UI as
a 'pay 0.01 HBAR or USDC to unlock' button with a live flow log and a HashScan link for every settlement
Appendix · Secrets

Required keys.

HEDERA_OPERATOR_ID
Hedera testnet account id (0.0.xxxxxx). Create and fund it free.
open ↗
HEDERA_OPERATOR_KEY
ECDSA private key for that account, from the Hedera portal dashboard.
open ↗
REOWN_PROJECT_ID
Free project id powering the HashPack pairing modal.
open ↗
HEDERA_RPC_URL
Optional. JSON-RPC relay, defaults to the public Hashio endpoint.
open ↗
PINATA_JWT
Pins images / JSON / manifests to IPFS.
open ↗

Add these in your Lovable project under Settings → Secrets before pasting the prompt below.

Appendix · Mega-prompt

The build prompt.

Paste into a fresh Lovable project. Make sure all five secrets above are set first. read the build strategy →

Loading the mega-prompt…
Appendix · Market

Market sizing.

TAM
$4.2B
The global AI training data market and computer vision sector for motion analysis.
SAM
$140M
Professional choreographers, athletic researchers, and digital archivists using motion-capture data.
SOM
$1.5M
Decentralized labeling teams and machine learning researchers training on Hedera testnet data.

Indicative figures for hackathon pitches — refine with your own research before raising.

See also

Adjacent entries.