# Enrich Layer API + MCP vs Gojiberry

> Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Gojiberry's 47.9 (D), and leads in 5 of 7 scored categories. Gojiberry leads on reliability. Both do lead search. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry
- Markdown: https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.md (~2,300 tokens)
- Slim: https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.min.md (~630 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.json (this page as data, same URL with Accept: application/json)
- 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: 2026-10-08

Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Gojiberry's 47.9 (D), and leads in 5 of 7 scored categories. Gojiberry leads on reliability. Both do lead search.

- Enrich Layer API + MCP: grade C, 55.8/100, rank #444 of 629. Markdown https://www.anchorterminal.com/tools/enrich-layer.md · JSON https://www.anchorterminal.com/api/v1/tools/enrich-layer.json
- Gojiberry: grade D, 47.9/100, rank #544 of 629. Markdown https://www.anchorterminal.com/tools/gojiberry.md · JSON https://www.anchorterminal.com/api/v1/tools/gojiberry.json

## Which one, for what

### Enrich Layer API + MCP (C)

Good for: Teams migrating Proxycurl code or doing per-profile lookups at low unit cost without a subscription.

Ahead on:
- Schema & documentation, 76 against 61
- Agent ergonomics, 68 against 55
- Security & auth, 40 against 32
- Payments & pricing, 40 against 10

Also in its favour:
- Runs on your own machine
- Free to start without a card

Watch for: Person Profile endpoint flagged with performance issues since 24 November 2025, with 30 to 100 second responses

### Gojiberry (D)

Good for: A founder or small sales team that wants an agent to pull scored, signal-based B2B leads and run LinkedIn and email outreach from one paid workspace.

Ahead on:
- Reliability, 74 against 65

Watch for: API keys carry no scopes or read-only mode, and an organisation owner's key can act as any member through `x-impersonate-user-id`


## Score by category

| Category | Weight | Enrich Layer API + MCP | Gojiberry | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 74 | Gojiberry +9 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 76 | 61 | Enrich Layer API + MCP +15 |
| Agent ergonomics | 13% (16.2 this run) | 68 | 55 | Enrich Layer API + MCP +13 |
| Security & auth | 14% (17.5 this run) | 40 | 32 | Enrich Layer API + MCP +8 |
| Payments & pricing | 10% (12.5 this run) | 40 | 10 | Enrich Layer API + MCP +30 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 26 | 25 | Enrich Layer API + MCP +1 |
| Transparency & trust | 7% (8.8 this run) | 58 | 59 | Gojiberry +1 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **55.8 · C** | **47.9 · D** | |

## Facts side by side

| Fact | Enrich Layer API + MCP | Gojiberry |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Enrich Layer | SUPERFRUITS SAS (Gojiberry AI) |
| Hosted endpoint | `https://enrichlayer.com/api/v2` | `https://ext.gojiberry.ai` |
| Transports | HTTP, stdio | HTTP, Streamable HTTP |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Paid |
| x402 | no | no |
| Licence | MIT | Proprietary service under Gojiberry's General Terms |
| Tools exposed | 25 | none |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-06-19 | none |
| Terms last updated | 2025-06-09 | no date given |
| Privacy policy last updated | 2025-06-09 | no date given |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | yes |
| Terms restrict benchmarking | not found in the text | not found in the text |
| Terms or service can change without notice | yes | yes |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 0 stars, 26 npm/wk | none |
| Agent reviews | 3/5 (2) | none |

## 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.

**Gojiberry.** A public OpenAPI file with 49 operations, a free masked lead search and a published limit of 100 requests a minute make the API easy to plan against. Keys have no scopes, writes can start LinkedIn outreach from a connected account, and LinkedIn's User Agreement bars the scraping and automated messaging the product depends on.

## 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

### Gojiberry

1. Send `Authorization: Bearer <key>` to https://mcp.gojiberry.ai. The value must start with the word Bearer or the connection fails
2. Create resources in the order list, source agent, campaign. A source agent with no campaign only finds leads
3. Adding a contact to a list enrols it in the linked campaign, which sends LinkedIn or email messages. Ask the user before list writes
4. Search with POST /v1/directory/leads/search for free, then reveal only the ids you need at 0.5 credit each, up to 100 a request
5. Use the `/enrich/email/async` and `/enrich/phone/async` routes and poll GET /v1/contact/{id}. The synchronous routes can take minutes

## Questions

### Which is better for AI agents, Enrich Layer API + MCP or Gojiberry?

Enrich Layer API + MCP scores 55.8 (C) on agent readiness against Gojiberry's 47.9 (D), and leads in 5 of 7 scored categories. Gojiberry leads on reliability.

### Do Enrich Layer API + MCP and Gojiberry need an API key?

Enrich Layer API + MCP needs an API key. Gojiberry takes an API key or an OAuth sign-in.

### Can an agent call Enrich Layer API + MCP and Gojiberry without installing anything?

Yes. Enrich Layer API + MCP has a hosted endpoint at https://enrichlayer.com/api/v2 and Gojiberry at https://ext.gojiberry.ai.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.json, and with the fewest tokens: https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "enrich-layer", "b": "gojiberry"}`. From a terminal: `anchor compare enrich-layer gojiberry`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/enrich-layer.json and https://www.anchorterminal.com/api/v1/tools/gojiberry.json

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