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For flavor R&D

Compound-level flavor data, with the receipts

OAV with confidence bands, key-aroma flags, peer-reviewed citations per compound, open methodology — not a black box you have to take on faith.

Pro $12/mo per scientist · Enterprise for team licenses + bulk data

5,240
Flavor compounds
44,648
Indexed papers
1,834
OAV-validated rows
2,451
Odor thresholds

Three things flavor R&D teams use this for

Concrete workflows with the endpoint and shape of what comes back.

Workflow 1

Substitute for a discontinued aroma chemical

A flavor house loses access to an ingredient (regulatory, supply, cost). The engine returns ingredients with the closest compound profile — ranked by molecular overlap, not popularity.

The workflow: Reformulating around a supply, cost, or regulatory shock — screen candidates by compound overlap before committing bench time.

And the cost: candidates are ranked on flavour fit and priced from a curated book where every row carries its source, date and unit. A price we cannot stand behind comes back unknown, with a reason — never an estimate, never a neighbour’s price, never zero. See the cost endpoint →

curl "https://compkitchen.com/api/sub?ingredient=butter&top_n=5"

# IDF-weighted Jaccard over shared VOLATILES only:
# → milk (55)  cream cheese (32)  cheese (52)
#   cheddar cheese (46)  swiss cheese (41)
# Each result carries shared_compound_count + the compounds themselves.
Workflow 2

Patent landscape for a target compound

Researching prior art for a novel formulation. The SureChEMBL cross-reference exposes which patents cite a given compound — useful surface scan before deeper attorney review.

The workflow: Prior-art surface scan — narrow the compound list before a deeper attorney review.

GET /api/compound/vanillin
{
  "compound": "vanillin",
  "pubchem_cid": 1183,
  "surechembl_patents": 2476,        // patents citing this CID
  "key_aroma_in": ["vanilla", "chocolate", ...],
  "papers_cited": 47
}
Workflow 3

OAV-driven sensory panel design

Building a descriptor panel for a product? Pull the top compounds by OAV in the target ingredient — those are the ones panelists actually perceive. Filter out the “present but below threshold” noise.

The workflow: Descriptor-panel design — rank by OAV so the panel tests what is actually perceivable.

import requests
r = requests.get("https://compkitchen.com/api/pair",
    params={"ingredients": "cinnamon", "top_n": 1})
compounds = r.json()["results"][0]["compound_details"]
key_aromas = [c for c in compounds if c.get("max_oav", 0) > 1]
# → cinnamaldehyde, eugenol, linalool, caryophyllene

What’s in the data layer

Every claim traces back to a peer-reviewed paper. Confidence tiers are visible per row so you know whether a value is matrix-validated, paper-cited, or modeled.

Per-compound

OAV with confidence bands

Three tiers: ✓ matrix-validated, 📄 paper-cited, ⚡ significant contributor. Sourced from the GC-MS corpus and the Rychlik & Schieberle (1998) licensed compilation.

Per-pair

Compound & recipe scoring

IDF-weighted Jaccard on shared volatiles (chemistry) + NPMI on ingredient co-occurrence across the 432,799-recipe scoring subset (culinary reality) — the portion of our 612,557-recipe browsable corpus whose ingredient lists parse cleanly enough to co-occurrence-score. Two different numbers, on purpose: you browse 612,557, we score against 432,799. Novel mode filters for high-chemistry / low-culinary.

Citations

Linked papers per compound

44,648 GC-MS papers indexed. Each compound page lists the papers that cite it; each ingredient page lists its top-contributing institutions via OpenAlex.

Pricing for R&D

Pro is the right entry point for an individual scientist. Move to Enterprise when your team needs API integration, bulk data, and SLA.

Individual scientist
$12 /month

Cancel anytime

  • ✓ Full site access — 300 req/min signed in (programmatic /api/* access is a separate developer plan)
  • ✓ OAV, thresholds, key-aroma flags, CAS, PubChem CIDs
  • ✓ CSV exports from every tool
  • ✓ Citation blocks (Plain + BibTeX)
  • ✓ Per-compound institution affiliations
Subscribe
Enterprise For teams
Custom

Scoped to team size and needs

  • ✓ Everything in Pro, team-wide
  • ✓ Bulk JSON dumps of all corpora
  • ✓ Custom endpoints for IP & regulatory work
  • ✓ SLA, dedicated support, data alerts
  • ✓ Academic discount for research groups
See API docs & talk to us

Working through a university? The Educator and Classroom tiers are priced separately.

Start with one compound

Pick a compound you work with regularly — vanillin, eugenol, linalool. See the OAV, paper citations, patent count, and which ingredients carry it.