count_detections

shallow

io.github.gabrielkasmi/deeppvmapper · Verify this server

Count detections matching a set of filters, exactly, without downloading rows (fast, no row cap). Use this for "how many ..." questions, e.g. "how many installations have an RNB id?" -> has_rnb_id=true; "how many are identified by 2+ sources?" -> quality_filter=true; "how many come from OpenStreetMap?" -> sources_include=[2]. Returns the matching count, the unfiltered registry total and the percentage. Counts are DETECTED systems, not an inventory. 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 today

count_detections 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: count_detections
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count_detections — Vouch