medien.halowerk.com/v1/oss-opencv-robot-hand-eye-calibrate working

Trust Score

61 of 95

Open formula: /trust. Recomputed once a day from what alalanet observed and its sources publish; nothing here can be bought.

• shared_pay_to — the same receiving address serves 50 or more hosts (−5).

Payments

Read on chain by alalanet

11,118 payments from 47 wallets, $37.01

USDC on Base into this address since 2026-10-15; alalanet's own test wallet excluded

Repeat payers

24 paid on two or more days

Largest payer

61.1% of the payments

Independent payers

9 of 47 counted

alalanet read the wallets of the 10 largest payers: 1 funded by the seller, not counted; 0 joined to another payer (funded by it, or by the same address within 72 hours before both paid); 6 first funded within 72 hours before paying; the other 37 payers are not counted

This address also receives for 115 other hosts; the payments above are for all of them.

This listing was first seen on 2026-11-05; payments before that day may be missing, so the figures are a lower bound.

Catalogue says

3 calls from 2 payers in 30 days

the catalogue's own counter (x402 Bazaar), not checked by alalanet

Description (from the catalogue, unverified)

Solves the hand-eye problem: given a series of gripper-to-base poses read from the robot and the matching target-to-camera poses seen by the camera, it recovers the rigid transform between camera and gripper that stays constant as the arm moves. This is what lets a robot act on what its camera sees. The poses must be genuinely synchronized — a pairing that is off by one sample produces a confident and entirely wrong transform, and nothing in the data reveals it.

Signed history

Verify any statement offline: how.

For agents and owners

JSON: https://alalanet.com/v1/services/3v7rqlgfpk6xuegg

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