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avg_coupon_rate
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coupon_analysis
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Model/bond_coupon_schedule.yml
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bond_corporate_a…
bond_coupon_sch…
bond_index_const…
bond_issuers.yml
bond_prices.yml
bond_rating_even…
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monthly_price_vol…
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1spec_version: '0.2'
2type: model
3name: bond_coupon_schedule
4description: Scheduled coupon payments,
5 one row per instrument.
6grain:
7 - INSTR_ID
8 - PAY_DT
9trust_tier: silver
10source:
11 ref: fixed_income_bigquery.cpn_sched
12columns:
13 - name: PAY_DT
14 type: date
15 not_null: true
16 semantic_role: time_dimension
17 - name: CPN_AMT
18 type: number
19 description: Day-count-adjusted
20 coupon per 100 face.
21 semantic_role: measure
22 synonyms: ["coupon"]
23metrics:
24 - avg_coupon_rate
25verified_queries:
26 - coupons_due_by_month
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A blueprint for your data
Traditional context is not enough for commercial data products. Build context packages that are ready for customer use.
Semantics and context
What the data is, and how agents should use it, in one place.
Open standard
Portable YAML that works wherever your customers work.
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Every change reviewed, evaluated, and versioned before it ships.
Usable everywhere Deployable wherever customer agents work.
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Tools that can power chat directly in Claude, OpenAI, Gemini and more.
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A context package that customers can integrate into their own agent workflows.
Improves over time Context adapts from real usage, and your team decides what ships.
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Your experts review every proposal. Nothing ships without sign-off.
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More customer stories
“Our sales team could not run without Bobsled. We can now do more with our data in an afternoon than we used to do in a quarter, and it’s showing up in the pipeline.”
Matt TrockeHead of Product, GlobalData
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Scott MorrisonDirector, Data-as-a-Service, ZoomInfo
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