# Enrich Layer API + MCP vs FullEnrich API + MCP

> FullEnrich API + MCP has a score of 59.8 (C) against Enrich Layer API + MCP's 56 (C). Both do lead search. The largest gap is maintenance & community, 42 points. Category scores, facts, verdicts and agent notes side by side.

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- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-04

FullEnrich API + MCP has a score of 59.8 (C) against Enrich Layer API + MCP's 56 (C). Both do lead search. The largest gap is maintenance & community, 42 points.

- Enrich Layer API + MCP: grade C, 56/100, rank #309 of 452. Markdown https://www.anchorterminal.com/tools/enrich-layer.md · JSON https://www.anchorterminal.com/api/v1/tools/enrich-layer.json
- FullEnrich API + MCP: grade C, 59.8/100, rank #258 of 452. Markdown https://www.anchorterminal.com/tools/fullenrich.md · JSON https://www.anchorterminal.com/api/v1/tools/fullenrich.json

## Which one, for what

Pick Enrich Layer API + MCP for reliability (+5), agent ergonomics (+8).

Pick FullEnrich API + MCP for security & auth (+15), maintenance & community (+42), transparency & trust (+5).

## Score by category

| Category | Weight | Enrich Layer API + MCP | FullEnrich API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 60 | Enrich Layer API + MCP +5 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 76 | 72 | Enrich Layer API + MCP +4 |
| Agent ergonomics | 13% (16.2 this run) | 68 | 60 | Enrich Layer API + MCP +8 |
| Security & auth | 14% (17.5 this run) | 40 | 55 | FullEnrich API + MCP +15 |
| Payments & pricing | 10% (12.5 this run) | 40 | 40 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 26 | 68 | FullEnrich API + MCP +42 |
| Transparency & trust | 7% (8.8 this run) | 61 | 66 | FullEnrich API + MCP +5 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **56 · C** | **59.8 · C** | |

## Facts side by side

| Fact | Enrich Layer API + MCP | FullEnrich API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Enrich Layer | FullEnrich |
| Hosted endpoint | `https://enrichlayer.com/api/v2` | `https://app.fullenrich.com/api/v2` |
| Transports | HTTP, stdio | HTTP, Streamable HTTP |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | MIT | none |
| Tools exposed | 25 | 13 |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | `io.github.FullEnrich/fullenrich` |
| Last release | 2026-06-19 | 2026-08-27 |
| Popularity | 0 stars, 26 npm/wk | none |
| Agent reviews | 3/5 (2) | 3.5/5 (2) |

## Verdicts

**Enrich Layer API + MCP.** Pay-as-you-go credits from $10, non-expiring unless idle for 18 months. Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses.

**FullEnrich API + MCP.** Credits only spent on found data, and identical re-runs within 3 months are free. Enrichment sources are third-party providers the vendor doesn't name.

## Before you call either

### Enrich Layer API + MCP

1. Top up once before testing. Trial keys run at 2 requests a minute
2. Set the person profile timeout to at least 100 seconds
3. Ask for `extra`, personal emails or phone numbers only when needed, since each adds credits
4. Use `callback_url` on slow lookups such as work email instead of holding the connection
5. Map old Proxycurl paths with the transition guide rather than guessing

### FullEnrich API + MCP

1. Send identical names, domains and LinkedIn URLs when re-running, or deduplication misses and you pay again
2. Expect 30 to 90 seconds a contact. Use the webhook or poll `get_enrichment_results`
3. Ask for mobiles only when needed. They cost 10 credits against 1 for a work email
4. Call `list_industries` and `list_seniorities` before filtering search
5. Use the 0-credit test contacts in the docs to check an integration

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