io.github.r3dz4r/datapulse-my

up checked 2026-11-11T07:38:20.408Z

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Publisher-provided title

DataPulse

Publisher-provided description

Read-only discovery for 447 Malaysian public datasets with freshness, licence, and provenance.

Summary by lookupd

Lets agents discover and verify Malaysian public datasets, checking freshness, licence, provenance, anomalies, and publish reliability…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http datapulse-my https://mcp.data-pulse.my/mcp

Codex, remote (streamable-http)

codex mcp add datapulse-my --url https://mcp.data-pulse.my/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "datapulse-my": {
      "url": "https://mcp.data-pulse.my/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (19 tools)

Publisher-provided text

• search_datasets Use for discovery only: find DataPulse's 447 Malaysian public datasets by topic, source, or licence—for example, 'Malaysian public data inflation', licence and
• get_dataset Return full detail for one dataset id, including its latest health status and last-verified timestamp, content_freshness_date, and freshness_signal_source (last
• get_data_passport Return one bounded, machine-readable Dataset Passport v1 for a canonical dataset ID. It reads the published Passport artifact only; it does not fetch an upstrea
• find_stale Return datasets whose status is aging, stale, or degraded, plus datasets missing from the latest health snapshot. Use when an agent needs to know which data has
• find_anomalies Return datasets flagged by the latest published anomaly detection (anomalies), ranked by how far the observed update interval exceeds its threshold. Optionally
• find_deteriorating Return datasets whose published freshness trend is deteriorating, ranked by staleness slope. Optionally require a minimum historical anomaly rate; includes pipe
• find_recovering Return datasets whose published freshness trend is recovering, with the fastest staleness reductions first. Includes pipeline-computed trend and publish-reliabi
• find_unreliable Return datasets whose evaluated publish-reliability grade is at or below a threshold (the unreliable ones), with the worst grades and lowest on-time percentages
• find_schema_drift Return datasets with published structural or record-count drift evidence, ranked with structural changes first. Optionally require a minimum number of structura
• check_reconciliation Return the published cross-source reconciliation group for a dataset name or id, including per-member counts, dates, statuses, tolerances, and contextual deltas
• get_provenance Use when asked 'can I cite this source?', for licence and attribution, or for citation-ready provenance. Returns source, steward, licence/attribution context, c
• get_evidence Use for a deep evidence audit or to inspect a provenance and evidence receipt. Returns the complete published evidence receipt for one dataset: probe time, tran
• verify_dataset This is the preferred single-call pre-trust check for 'is this dataset current?', stale, unknown-freshness, degraded, or browser-dependent questions, and whenev
• get_freshness_summary Return a freshness-at-a-glance summary of the published catalogue: fresh, aging, stale, and reference counts plus the latest health check time. Use it for catal
• verify_evidence Use when a fresh, rate-limited live-vs-published comparison is needed for a direct-access dataset, for example after asking whether a government dataset is reac
• trust_verdict Return published attestation facts, the unsigned methodology-versioned trust score, numeric components, and component_availability reasons, plus existing health
• verify_attestation Use to verify a signed published probe attestation after an evidence audit. Returns L1 signature, key, time, and chain-link checks; optional L2 replay of daily
• find_by_licence Return all datasets with the given licence, summarised. Use to enumerate what's available under a specific licence for compliance/reuse scoping. Use it to enume
• usage_summary Aggregate anonymous tool usage for an inclusive ISO date range, e.g. 2026-08-01 to 2026-08-07. Returns `total_calls`, `by_outcome`, `by_tool`, `by_dataset`, `tr

Details

• Version: 3.63.2
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 1960 ms
• First indexed: 2026-11-01T09:50:41.520Z
• Last seen in registry: 2026-11-11T07:17:21.746Z
• Repository: https://github.com/r3dz4r/datapulse-my
• Website: https://www.data-pulse.my

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