Media kit

Harpd media kit

Quick answer

What is in the Harpd media kit?

The Harpd media kit bundles everything needed to write about or embed Harpd data: logo and social image assets, official long/short/one-line descriptions, four embeddable attribution badges, a data fact sheet computed from live first-party datasets, the research distribution bundle and the canonical URL index. All assets are reusable under CC BY 4.0 with attribution to Harpd.

Licence
CC BY 4.0
Badges
4
Citeable facts
63
Data as of
2026-09-09

Data source: Harpd first-party datasetsFact sheet JSONAttribution contract

Official descriptions

Copy one of these verbatim. They match the entity definition at /about/harpd/ and the machine-readable package at /press/brand.json.

Long (2 sentences)
Short (1 sentence)
One line

Assets

Harpd media assets
AssetWhereNotes
Logo (SVG, primary)/favicon.svgVector mark on transparent background. Use at 20px height or above.
Social / OG image (PNG)/og-harpd.png1200×630 social preview card.
Badges (SVG, 4 kinds)/developers/attribution/Light and dark variants, with HTML/Markdown/JSON snippets.
OG image set (per page)/og/Per-article and per-product social preview images.

Fact sheet

Headline figures, computed from live Harpd datasets on this build — never hand-written. The full set of 63 citeable facts, each with its own dataset, evidence, methodology, data date and citation, is at/about/citations/ and /data/citeable-facts.json.

rank.products.approved
143

Harpd Rank listed 143 approved products as of 2026-09-09.

rank.categories.boards
28

Harpd operates 28 product category boards, 21 of which currently hold at least one approved product.

rank.points.total
undefined

Harpd Rank had issued undefined Rank Points across the board as of 2026-09-09; one completed Credit spend creates one permanent Rank Point.

market.concentration.top3
56.0%

The three largest Harpd Rank categories accounted for 56.0% of all listed products.

pricing.models.tracked
16

Harpd tracked 16 model list prices as of 2026-08-18, each carrying its own official provider source URL and verification date.

research.families
5

Harpd Research publishes 5 research families built from closed monthly Harpd Rank snapshots, each with its dataset, method and stated limitations.

Attribution badges

Drop one of these into a README, article or dashboard to credit Harpd. Each links to the canonical Harpd source for the data it credits. Full snippets and the five attribution requirements are at/developers/attribution/.

Data by Harpd

Data by Harpd

Source: Harpd

Source: Harpd

According to Harpd

According to Harpd

Powered by Harpd Open Data

Powered by Harpd Open Data

Research distribution bundle

Every Harpd research report ships as a complete, quotable bundle, so a third party can reference Harpd without reconstructing anything. The goal is a citable quote in under 30 seconds.

Research distribution bundle
ComponentLocationWhat it gives you
HTML report/research/{family}/{year}/{month}/The published report, server-rendered.
JSON dataset/data/research.jsonEvery report record with its snapshot id and data period.
CSV dataset/data/rank.csvThe ranking dataset the reports are computed from.
Markdown README/data/research/READMEData dictionary and reproducibility instructions.
Citation snippet/cite/Copy-paste citation per dataset, in five formats.
Citeable facts/data/citeable-facts.jsonEvery quote-ready figure with its provenance.
Embeddable widget/developers/embed/Live board and research widgets for third-party pages.
Canonical source/research/The research hub — always the URL to link.

Citation formats

Short citation
Website citation
Dataset citation
Research citation
Academic citation (BibTeX)

Canonical URL index

Always link the canonical form. These are the stable URLs to reference.

Contact & corrections

Questions about the data, a figure you cannot reproduce, or a correction request:/contact/. If a Harpd figure in your published work turns out to be wrong, tell us — the claim registry at /citations/ records every published claim and its status, and corrections are made against the dataset, not against the article.