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Data Jobs β€” Skill Co-Occurrence API (AU)

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from $70.00 / 1,000 results

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Data Jobs β€” Skill Co-Occurrence API (AU)

Which skills should you learn next? Pass any data, analytics, BI, ML or AI skill and get the strongest co-occurring tools and techniques in the live Australian market β€” ranked by PMI and Jaccard. Powers learning paths, course catalogues and recruiter brief templates.

Pricing

from $70.00 / 1,000 results

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πŸ‘ data_lattice

data_lattice

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2 months ago

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Data Jobs - Skill Co-Occurrence API (AU)

Which skills should you learn next? Pass any data, analytics, BI, ML or AI skill and get the strongest co-occurring tools and techniques in the live Australian market - ranked by PMI and Jaccard.

What this is for

The skill-intelligence Actor produces a single 80 KB JSON snapshot per day. Querying it is fiddly: you have to download it, parse the top_pairs array, filter by skill name on either side of each pair, sort, and slice.

This Actor is a thin query-and-return layer on top of that snapshot. Pass ["dbt", "Airflow"]; get back a clean response showing the top 10 co-occurring skills for each, with PMI / Jaccard / joint-count metrics. Powers learning paths, recruiter-brief generation, and skill-adjacency visualisations without you having to build any of that data plumbing.

How this helps you

You are a...You use this to...
Bootcamp curriculum designer"If we teach Snowflake, what skill bundle should accompany it?" Answer: dbt (PMI 2.35), Airflow (1.79), Python (1.00)
Career coachGenerate "next skill to learn" recommendations grounded in real demand data, not opinion
RecruiterBuild candidate briefs that name every skill clients will likely ask for, including ones the JD didn't explicitly state
EdTech / LMSAutomatically suggest related courses when a learner finishes a unit
Job seekerAnswer "I know X - what should I learn to round out my profile?" with market-grounded data
Data team leadJustify hiring "Snowflake + dbt" as a unified profile rather than two separate roles

Cold-start safe

Three fallback layers in order:

  1. Apify key-value store entry latest (set by the Skill Intelligence Actor when it last ran)
  2. Local /var/data_intel/latest.json (when running as the cron daemon)
  3. Shipped seed snapshot (seed_intelligence.json - 3,113 jobs, 136 skills, 120 pairs)

So buyers see a useful, accurate response on first run, even before the Skill Intelligence Actor has triggered any refresh.

Output

{
"generated_at": "2026-05-09T...",
"source": "kvs:latest",
"is_seed": false,
"per_skill": {
"snowflake": {
"in_market": 165,
"top_related": [
{"skill": "dbt", "joint": 65, "pmi": 2.35, "jaccard": 0.299},
{"skill": "AWS", "joint": 67, "pmi": 1.57, "jaccard": 0.186},
{"skill": "Azure", "joint": 76, "pmi": 1.18, "jaccard": 0.143},
...
]
},
"rag": { ... },
...
}
}

Full schema in OUTPUT_SCHEMA.json.

Pricing

$0.10 per query (PAY_PER_EVENT, fired as query_resolved - one event per Actor run regardless of how many skills you queried). A power user querying 100 times in a day pays ~$10/month. A casual user pays cents.

Run it

{"skills":["RAG","Snowflake","dbt","GenAI","embedding"]}

Returns the top 10 co-occurring skills for each input, in one response.

Brand

Part of the Data Lattice portfolio. Consumes the snapshot produced by the Skill Intelligence Actor.

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