get_detection_details

shallow

io.github.gabrielkasmi/deeppvmapper · Verify this server

Get the full record of one detection by id: technical characteristics (surface, kwp, tilt, azimuth — model estimates), imagery years, sources decoded into plain labels, frpv_proba, false-positive flag, rnb_id and location codes, plus simple confidence signals. Data quality note: this is a detection dataset, not an exhaustive inventory (estimated recall ~0.6). A missing detection does not mean no PV installation exists there. kwp, surface, tilt and azimuth are model estimates, not surveyed values. In this server, quality_filter=true keeps only detections identified by 2 or more sources (see source_encoding in get_data_quality_reference). Call get_data_quality_reference for the full picture before assessing fitness for a specific use case.

100.0/100

1 trials · measured 2 days ago

get_detection_details scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.gabrielkasmi/deeppvmapper, measured 20 Oct 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
open
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-20100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: get_detection_details
[![Vouch score](https://vouch.tools/api/tools/ff71dcde-a5c6-4fea-a1d8-d4380a401073/badge.svg)](https://vouch.tools/tools/ff71dcde-a5c6-4fea-a1d8-d4380a401073)
get_detection_details — Vouch