Traceable dataset sampler for AI agents
Pricing
Pay per usage
Traceable dataset sampler for AI agents
Create a deterministic, representative, token-bounded context package from an Apify dataset while preserving row-level provenance and omission accounting.
Pricing
Pay per usage
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Developer
Abdulrahman Baidaq
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19 days ago
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This Actor converts an Apify dataset into a deterministic context package under an explicit complete-artifact transport estimate. It preserves configured provenance fields, suppresses duplicate identities, reserves coverage across configured strata, records why each row was selected, and accounts for every omission.
The size rule is ceil(complete CONTEXT.md UTF-8 bytes / 3.5), not an exact count or guaranteed upper bound for a specific model tokenizer. The Actor does not summarize, rewrite, or invent source values.
Local tests
python -m unittest discover -s tests -v
Output
- Dataset row 1:
context_manifest - Remaining rows: selected records with
_contextmetadata - Key-value store:
REQUEST,MANIFEST, andCONTEXT.md

