I spent an hour reading through @vangrid_io's API docs this morning, and the most interesting part isn't the spatial data. It's the constraint that makes the whole system work. When you pull a bounty through the API, you don't get the raw video. You get the reconstructed 3D model. The original footage stays with the contributor. For a tech director building a robotics pipeline, that's a massive architectural difference. You're not ingesting a chaotic folder of phone videos with varying lighting, angles, and metadata. You're getting a clean GLB file, grounded to real-world coordinates, with a ground_truth_score attached to tell you exactly how much the multi-node corroboration trusts that specific capture. The API puts a hard limit on how much money an AI agent can spend without a human checking the receipts. Spend caps constrain the signing. They don't constrain the two calls that actually move money: accepting a submission and cancelling a bounty. Both are irreversible. The docs explicitly tell you to gate those behind human approval if the agent is unattended. It's an honest design. It admits that autonomous agents are great at requesting data, but humans still have to verify the output before the escrow clears. The API isn't just a data pipe. It's a framework for how machines and humans negotiate reality. vangrid.io