Harpd Product Ranking Data

What these words mean on Harpd

Research, methodology, benchmarks and pricing are different kinds of evidence. On Harpd,research is the evidence and data itself — the datasets on this page.Methodology is how the data is collected and evaluated — the written rules behind every number. A benchmark is a reproducible measurement run under a documented method. Pricing is structured pricing information, verified against official provider pages. We keep them separate so a claim is never confused with its evidence.

The evidence framework

Every claim published on Harpd is supposed to trace through this chain. Where a link is missing, we label it instead of filling the gap.

1. ClaimExample: “Product X holds rank #N on the overall board with M Rank Points.”
2. DataThe canonical machine-readable record: /data/rank.json and /data/rank.csv.
3. MethodologyHow the numbers are produced: Harpd Rank Methodology, also exported as /data/methodology.json.
4. ResultPublished live on the overall board and the history archive, generated from the same first-party data.
5. Source / DatasetHarpd Rank first-party data, published under CC BY 4.0 with a versioned field schema.
6. ReproductionDownload the JSON or CSV, check the schemaVersion, and recompute any board position from the exported records.

The claim → data → method → updated register for every public Harpd claim lives on the Evidence page.

Need a citation rather than the raw records? The citation hub has a ready-to-copy line for every dataset on this page. For a figure that has to stay true months later, cite a monthly data drop instead of the live board. New to Harpd? Read what Harpd is.

Download the dataset

Last updated: 2026-09-09 (most recent product record change). Pricing data last verified 2026-08-18; benchmark data last updated 2026-08-18.

The benchmark data and its reproducible runner are also mirrored in the open-source repositoryharpd-dev/llm-cost-benchmark(see DATA_DICTIONARY.md andMETHODOLOGY.md there).

Dataset schema

All endpoints share one envelope. Field names are stable;schemaVersion is 1.0. Breaking field changes bump the version rather than silently renaming fields.

How is this data produced?

The dataset is a direct serialization of the Harpd Rank overall board. Products enter the board when they are approved; optional Credits add permanent Rank Points. See Harpd Rank Methodology for how ranks are computed, andproduct categories to browse the boards the dataset mirrors. Harpd Rank statistics are also available on the stats page.

Market index: the board at a glance

The whole board, aggregated by category. This is the same data theAI Market Index reports each closed month — exposed here as a live, machine-readable aggregate.

143 products across 21 of 28 category boards.Developer is the largest category with 48 products (33.6% of the board). Machine-readable: /data/market-index.json.

How to cite this data

The dataset is published under CC BY 4.0. You may quote, redistribute and build on it — including commercially — as long as you attribute Harpd and link the licence. Copy the line below; it already carries the retrieval date and the coverage of the data you are quoting.

Harpd. "Harpd Product Ranking Data" (retrieved 2026-09-09). 143 approved products in 21 of 28 category boards. https://harpd.com/data/ — CC BY 4.0.

1. Data sourceHarpd Rank first-party data — the live overall board at harpd.com/rank/.
2. MethodHarpd Rank Methodology, also exported as /data/methodology.json. One completed Credit spend creates one permanent Rank Point.
3. Last updated2026-09-09 — the most recent product-record change. This date moves only when the data changes, never on a rebuild.
4. LicenceCC BY 4.0. Attribution required; no endorsement implied.
5. ImportantRank Points measure promotional ranking activity. They are not an editorial quality score, rating or review.

Quoting a single product? Link its profile on harpd.com (every record carries a canonicalurl) rather than the dataset root, so the citation stays verifiable after the board moves.

What is not in the dataset?

Only public product and ranking information is published. The dataset never contains user accounts, email addresses, payment or Credit transaction data, moderation notes, or unapproved submissions. Product descriptions are included as provided by their makers.