Clay's March 2026 pricing overhaul pushed Claygent into the $185/mo Clay Launch plan with 2,500 data credits and 15,000 actions. Teams running 10,000+ enrichments per month hit the credit ceiling fast and need a cheaper direct API. We ranked five APIs against teams actively migrating off Claygent for GTM enrichment workflows.
Top Pick
Scavio provides the raw multi-platform search layer that Claygent wraps, at a fraction of the per-query cost. Plug Scavio directly into n8n, Make, or a custom TypeScript worker and rebuild the Claygent workflow with full control over the prompt and schema.
Full Ranking
#1Our Pick
Scavio
Replacing Claygent with a direct data API
Pros
- 10x cheaper per query
- Typed JSON output
- Reddit + SERP + LinkedIn via SERP
- Self-hosted prompt logic
Cons
- Not a no-code table UI
#2
Serper
Cheap Google SERP only
Pros
- Low cost
Cons
- Google only
#3
Tavily
LLM-optimized web answers
Pros
- Clean output
Cons
- Single surface
#4
Apollo.io API
B2B contact enrichment
Pros
- Contact data
Cons
- No free-form research
#5
Claygent (baseline)
Clay-native enrichment
Pros
- Clay integration
Cons
- Expensive at scale
- Credits deplete fast
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| Free-form web research | Yes | Yes | Yes |
| Typed JSON output | Yes | Partial | Partial |
| Reddit research | Yes | No | No |
| Custom prompt control | Yes (self-hosted) | No | No |
| Entry price | $30/mo | $50/mo | $30/mo |
| Per-enrichment cost | ~$0.003 | ~$0.001 SERP | ~$0.007 |
Why Scavio Wins
- Claygent runs a fixed LLM prompt against a web research result. The high price is the LLM call plus the data fetch bundled together. Scavio returns the raw data, which the team's own LLM (Gemini 2.5 Pro at $1.25/M tokens or Claude Haiku at $0.25/M) turns into the enriched field. The unbundling cuts cost by roughly 10x at scale.
- Self-hosted prompt logic matters for enrichment quality. A team scaling outreach tunes the prompt every week based on reply rates. Claygent's fixed prompt template limits this loop. Scavio plus a custom LLM wrapper gives the team full control over the prompt, schema, and fallback logic.
- Reddit coverage is a 2026 enrichment killer feature. For every B2B account, the team wants to know if the prospect is active on r/startups, r/saas, or a niche subreddit. Claygent does not index Reddit at all. Scavio returns structured Reddit threads directly.
- TypeScript or Python runner with n8n / Make / Temporal orchestration replaces the Clay table UI. Teams already running n8n for outbound pipelines plug Scavio in as a standard HTTP node and rebuild the Claygent column as a workflow step, which removes the Clay dependency entirely.
- Credit-based pricing at $30/mo for 7,000 credits scales linearly. A team running 10,000 enrichments per month at 3 credits each lands around $300 to $400 total including LLM costs, versus $185/mo just for Claygent's baseline credit bucket on top of Clay itself.