robotics.compute-actuator-alignment-correction.v1

Problem: Compute a bounded actuator alignment correction from these observations and caller acceptance limits.

Problem: Compute a bounded actuator alignment correction from these observations and caller acceptance limits. Input: JSON with observations, model, rules. Result: correction parameters, pre/post residuals, applicability verdict. Limits: Software/model evidence only; 65536 request bytes; 5 s execution.

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Overview

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UNRATED

0 of 30 paid calls toward a letter

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0x8f43274b…ac866c12

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https://jobs.rqmtechnologies.com/x402/buyer-jobs/robotics.compute-actuator-alignment-correction.v1

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first 24 days ago · last 11 hr ago

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Score, from free handshakes onlyweights 2026.09.6

UN
RATED

0.627 liveness verified, no letter

To a letter · 30 paid calls

0 of 30

Held down by latency p95 · gap to 1.000 is 0.373: 0.134 uncertain ? + 0.239 short ? · 0.023 to C

How the composite of 0.627 is made up, part by part
Component	Weight	Measured	Lower bound ?		Adds	Short ?	Uncertain ?
latency p95costs the most it answered as fast as its class	0.20	0.00	0.000		0.000	−0.200	0
liveness it answered at all	0.60	0.94	0.711		0.427	−0.039	−0.134
price stability the price stayed where it was listed	0.20	1.00	1.000		0.200	0	0
Composite	1.00		0.627	gap to 1.000 = 0.373 · 0.239 short · 0.134 uncertain	0.627	−0.239	−0.134

Not measured: correctness · nobody paid; honesty · nobody paid; schema conformance · no answer had a published shape to check

The multiplication, written out

  0.200 × 0.000   latency p95    
+ 0.600 × 0.711   liveness       
+ 0.200 × 1.000   price stability
= 0.627           → UNRATED: 43 of 30 paid calls      weights 2026.09.6 · 43 samples · seed cap_01M24XF1FR1GFKNXC8KJAF4Z3P|2026-09-03T13:19:27.755Z|2026.09.6

Verify it yourselfnpx teppi-check https://jobs.rqmtechnologies.com/x402/buyer-jobs/robotics.compute-actuator-alignment-correction.v1curl -s https://api.teppi.xyz/v1/trust/cap_01M24XF1FR1GFKNXC8KJAF4Z3P