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RQM Compare State Estimators
x402
RQM Compare State Estimators is a paid API for AI agents from jobs.rqmtechnologies.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Compares multiple bounded state estimator outputs against a reference trajectory using configurable error metric rules (RMSE, MAE, max absolute error) and returns pass/fail results per estimator.
Price / call$0.01
Success—
StatusUnknown
How this service works
Problem: Compare these bounded estimator outputs against the supplied reference and objective rules. Input: JSON with reference, estimators, rules. Result: per-estimator metrics, rule verdicts, deterministic selected estimator or.... Limits: Software/model evidence only; 65536 request bytes; 5 s execution.
Output
Returns per-estimator comparison results including computed metric values (RMSE, mean absolute error, maximum absolute error as requested) and a pass/fail determination against each supplied rule. Results are aligned to the reference timestamps and bounded by the supplied metric limits.
Example use cases
EKF vs UKF estimator benchmarking
“I have reference ground-truth trajectory data and outputs from two estimators, EKF and UKF, each with timestamped 6D state vectors. Compare them and tell me which passes an RMSE limit of 0.1 and a mean absolute error limit of 0.08.”
Pre-deployment estimator quality gate
“Before we deploy this new odometry estimator on the robot, compare its outputs against our reference motion capture data and flag it as pass or fail based on a maximum absolute error rule of 0.15.”
Multi-estimator accuracy ranking for sensor fusion
“I'm evaluating four candidate state estimators for our drone — can you compare all four against the same reference trajectory and score them by RMSE and mean absolute error so I can pick the best one?”
Technical details
Endpoint
POSThttps://jobs.rqmtechnologies.com/x402/buyer-jobs/robotics.compare-state-estimators.v1When to prefer
Use this endpoint when you need a rigorous, rule-bound quantitative comparison of multiple state estimator outputs against a known reference, with explicit pass/fail thresholds on specific error metrics. Prefer it over manual computation when you have up to 8 estimators and need consistent, reproducible scoring with bounded input sizes. Do not use it as a general estimator-quality oracle without a reference dataset, or for comparing estimators on qualitative or subjective criteria.
Side effects
- Missing or malformed reference array (fewer than 2 samples)
- Estimator sample count below minimum (fewer than 2 samples)
- Fewer than 2 estimators supplied
- Metric rules array empty or exceeds 3 rules
- Timestamp values outside allowed range 0–86400
- State vector dimension mismatch between reference and estimator samples
- Invalid estimator_id format (must match alphanumeric pattern)
- Payment failure or insufficient USDC balance
- Idempotency key format violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| request | object | |
| schema_version | — | |
| idempotency_key | string | |
| max_total_price | string |
Tags
x402
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