# Data Source Profile: {PROVIDER} — {SOURCE_NAME}

> **Template Origin**: Official | **ArcKit Version**: [VERSION] | **Command**: `/arckit:datascout`

## Document Control

<!-- DOC-CONTROL-HEADER -->
<!-- Resolved at command-execution time to _partials/document-control-uk.md or _partials/document-control-uae.md based on plugin userConfig classification_scheme + governance_framework. See _partials/RENDERING.md (when present). -->

## Revision History

| Version | Date | Author | Changes | Approved By | Approval Date |
|---------|------|--------|---------|-------------|---------------|
| 1.0 | {DATE} | ArcKit AI | Initial creation from `/arckit:datascout` orchestrator | PENDING | PENDING |

---

## Overview

{ONE_PARAGRAPH_SOURCE_SUMMARY}

**Provider**: {PROVIDER}
**Source name**: {SOURCE_NAME}
**Category**: {CATEGORY}
**Source type**: {SOURCE_TYPE}
**Confidence**: {CONFIDENCE} (high = ≥ 5 evidence fields, medium = 3–4, low = fewer)
**Last researched**: {DATE}

## Evidence

Every row below is sourced from a fetched URL captured by the reader subagent. Fields marked `—` were not present on any fetched page.

| Field | Value | Source |
|---|---|---|
| Hosted in | {HOSTED_IN_ISO_COUNTRY} | [{CITATION_ID}]({FETCHED_FROM_URL}) |
| Licence type | {LICENCE_TYPE} | [{CITATION_ID}]({FETCHED_FROM_URL}) |
| Pricing model | {PRICING_MODEL} | [{CITATION_ID}]({FETCHED_FROM_URL}) |
| Rate limit | {RATE_LIMIT_PER_MINUTE}/min | [{CITATION_ID}]({FETCHED_FROM_URL}) |
| Refresh cadence | {REFRESH_CADENCE} | [{CITATION_ID}]({FETCHED_FROM_URL}) |
| Auth required | {AUTH_REQUIRED} ({AUTH_METHOD}) | [{CITATION_ID}]({FETCHED_FROM_URL}) |
| Certifications | {CERTIFICATIONS} | [{CITATION_ID}]({FETCHED_FROM_URL}) |
| Contract vehicles | {CONTRACT_VEHICLES} | [{CITATION_ID}]({FETCHED_FROM_URL}) |
| Data categories supported | {DATA_CATEGORIES_SUPPORTED} | [{CITATION_ID}]({FETCHED_FROM_URL}) |

## Weighted Score ({RUBRIC_USED} rubric)

| Criterion | Weight | Per-criterion score | Weighted contribution |
|---|---|---|---|
| Requirements fit | 25% | {SCORE_REQUIREMENTS_FIT}/100 | {WEIGHTED_REQUIREMENTS_FIT} |
| Data quality | 20% | {SCORE_DATA_QUALITY}/100 | {WEIGHTED_DATA_QUALITY} |
| Licence and cost | 15% | {SCORE_LICENCE_AND_COST}/100 | {WEIGHTED_LICENCE_AND_COST} |
| API quality | 15% | {SCORE_API_QUALITY}/100 | {WEIGHTED_API_QUALITY} |
| Compliance | 15% | {SCORE_COMPLIANCE}/100 | {WEIGHTED_COMPLIANCE} |
| Reliability | 10% | {SCORE_RELIABILITY}/100 | {WEIGHTED_RELIABILITY} |
| **Total** |  |  | **{TOTAL_SCORE}/100** |

Scoring is a deterministic function of `(evidence, rubric)` — no LLM judgment. The rubric YAML (`schemas/scoring-rubrics/{RUBRIC_USED}.yaml`) is the source of truth; re-running `/arckit:datascout` against fresh evidence will recompute these values.

## Requirements Matched

The following project requirements pointed to this source via the trigger-keyword map and the deduplication pass:

- {REQ_ID_1} — {REQ_DESCRIPTION_1}
- {REQ_ID_2} — {REQ_DESCRIPTION_2}

## Projects Referenced In

- {PROJECT_ID}-{PROJECT_NAME}

## Last Updated

{DATE}

---

**Generated by**: ArcKit `/arckit:datascout` orchestrator (writer subagent)
**Generated on**: {DATE}
**ArcKit Version**: [VERSION]
**Project**: {PROJECT_NAME} (Project {PROJECT_ID})
**AI Model**: {AI_MODEL}