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We offer 250+ enrichment fields across 20+ categories.
Proof of Process
We don't ask you to trust us blindly — here's exactly what every row goes through before it reaches your download.
Raw data gathered from 100+ social media platforms via official APIs or permissive robots.txt rules.
Every post validated across 7 dimensions. Posts scoring below 50/100 are rejected before insertion.
Platform-relevant fields selected from 250+ available, computed through a deterministic pipeline.
40+ deterministic checks auto-correct errors; failures set pipeline flags.
Five dedup strategies run at export. Schema is standardized across every format.
Cleaned data served via CDN and permanently archived — never revoked.
Every one of the 250+ enrichment fields in our library is computed by deterministic, lexicon- and heuristic-based algorithms running on our own servers. No external API calls. No ML models with unpredictable output. The same input always produces the same output — fully reproducible across runs, computed in under 1ms per post, at zero external API cost.
Fair question. Hugging Face, Kaggle, and Pushshift host plenty of great data — and free is hard to argue with. But “free” is not the same as “production-ready.” Here's the honest comparison.
| Compare | Hugging Face | Kaggle | Pushshift | SocialIntel |
|---|---|---|---|---|
| Schema | Community-defined | Community-defined | Reddit-only format | Standardized schema |
| Enrichment | No built-in enrichment | No built-in enrichment | None | Up to 250+ deterministic fields |
| Validation & dedup | None | None | None | 7-dimension checks + 5 dedup strategies |
| Provenance | User-uploaded, unclear licenses | Varies by dataset | Reddit-only; API restricted since 2023 | Documented, ToS-respecting |
| Permanence | Depends on uploader | Varies | Volatile | Permanently archived |
| Your cost | Your engineering hours | Your engineering hours | Your engineering hours | Free samples & ≤10K rows |
We don't expect you to take our word for it. Download a free sample, inspect the schema, and benchmark it against anything on Hugging Face or Kaggle. The data decides.