# Enrich Layer API + MCP vs ZoomInfo API + MCP

> ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 6 of 7 scored categories. Both do lead search. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo
- Markdown: https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.md (~2,500 tokens)
- Slim: https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/enrich-layer-vs-zoominfo.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: 2026-10-09

ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 6 of 7 scored categories. Both do lead search.

- Enrich Layer API + MCP: grade C, 55.8/100, rank #582 of 842. Markdown https://www.anchorterminal.com/tools/enrich-layer.md · JSON https://www.anchorterminal.com/api/v1/tools/enrich-layer.json
- ZoomInfo API + MCP: grade BB, 72.2/100, rank #106 of 842. Markdown https://www.anchorterminal.com/tools/zoominfo.md · JSON https://www.anchorterminal.com/api/v1/tools/zoominfo.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.

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

### ZoomInfo API + MCP (BB)

Good for: Sales and marketing agents that need company, contact, intent and business-event data from one vendor, with free search before paid enrichment.

Ahead on:
- Reliability, 87 against 65
- Schema & documentation, 84 against 76
- Security & auth, 65 against 40
- Maintenance & community, 76 against 26
- Transparency & trust, 75 against 58

Also in its favour:
- Agent-ready, a grade of BB or better

Watch for: The Licence Terms and Conditions bar disclosing benchmark results and automated access outside ZoomInfo's own tools without written approval


## Score by category

| Category | Weight | Enrich Layer API + MCP | ZoomInfo API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 87 | ZoomInfo API + MCP +22 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 76 | 84 | ZoomInfo API + MCP +8 |
| Agent ergonomics | 13% (16.2 this run) | 68 | 71 | ZoomInfo API + MCP +3 |
| Security & auth | 14% (17.5 this run) | 40 | 65 | ZoomInfo API + MCP +25 |
| 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 | 76 | ZoomInfo API + MCP +50 |
| Transparency & trust | 7% (8.8 this run) | 58 | 75 | ZoomInfo API + MCP +17 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **55.8 · C** | **72.2 · BB** | |

## Facts side by side

| Fact | Enrich Layer API + MCP | ZoomInfo API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Enrich Layer | ZoomInfo Technologies LLC |
| Hosted endpoint | `https://enrichlayer.com/api/v2` | `https://api.zoominfo.com/gtm` |
| Transports | HTTP, stdio | HTTP, Streamable HTTP |
| Auth | API key | OAuth |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | MIT | Proprietary service under ZoomInfo's Licence Terms and Conditions. The GTM CLI on GitHub is MIT |
| Tools exposed | 25 | 26 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-06-19 | 2026-10-02 |
| Terms last updated | 2025-06-09 | no date given |
| Privacy policy last updated | 2025-06-09 | 2025-10-13 |
| Customer content may train models | not found in the text | yes, with an opt-out |
| Terms restrict automated access | not found in the text | yes |
| Terms restrict benchmarking | not found in the text | yes |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 0 stars, 26 npm/wk | 534 npm/wk |
| 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.

**ZoomInfo API + MCP.** Search, lookup and similar-record calls cost no credits, and a free account with 1,000 data and 1,000 AI credits needs no card. OAuth carries 20 scopes and limits are published per package. The Licence Terms and Conditions bar disclosing benchmark results, and the two documentation sites disagree on batch sizes and rate-limit headers.

## 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

### ZoomInfo API + MCP

1. Call Lookup first and pass the returned IDs to Search. Unknown industry, metro or topic strings are rejected with a 422
2. Search before Enrich. Search is free, and each newly enriched record costs one data credit
3. Request only the scopes the task needs in the `scope` parameter of the token call. Omitting it grants every scope configured on the app
4. On 429 read `X-RateLimit-Rejected-Bucket` and wait for `Retry-After`. An exhausted hourly window can mean a wait of several hundred seconds
5. Turn off model training in the AI client before connecting the MCP server. ZoomInfo prohibits MCP data being used for training

## Questions

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

ZoomInfo API + MCP scores 72.2 (BB) on agent readiness against Enrich Layer API + MCP's 55.8 (C), and leads in 6 of 7 scored categories.

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

Enrich Layer API + MCP needs an API key. ZoomInfo API + MCP uses an OAuth sign-in.

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

Yes. Enrich Layer API + MCP has a hosted endpoint at https://enrichlayer.com/api/v2 and ZoomInfo API + MCP at https://api.zoominfo.com/gtm.


## For agents

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

## Other comparisons with Enrich Layer API + MCP or ZoomInfo API + MCP

- [Apollo API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/apollo-vs-enrich-layer.md)
- [Apollo API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/apollo-vs-zoominfo.md)
- [Coresignal API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-enrich-layer.md)
- [Coresignal API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/coresignal-vs-zoominfo.md)
- [Crustdata API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-enrich-layer.md)
- [Crustdata API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/crustdata-vs-zoominfo.md)
- [Enrich Layer API + MCP vs FullEnrich API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-fullenrich.md)
- [Enrich Layer API + MCP vs Fuse MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-fuse-mcp.md)
- [Enrich Layer API + MCP vs Gojiberry](https://www.anchorterminal.com/compare/enrich-layer-vs-gojiberry.md)
- [Enrich Layer API + MCP vs Hunter API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-hunter.md)
- [Enrich Layer API + MCP vs LeadMagic API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-leadmagic.md)
- [Enrich Layer API + MCP vs Lusha API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-lusha.md)
- [Enrich Layer API + MCP vs People Data Labs](https://www.anchorterminal.com/compare/enrich-layer-vs-people-data-labs.md)
- [Enrich Layer API + MCP vs Prospeo API + MCP](https://www.anchorterminal.com/compare/enrich-layer-vs-prospeo.md)
- [FullEnrich API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/fullenrich-vs-zoominfo.md)
- [Fuse MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/fuse-mcp-vs-zoominfo.md)
- [Gojiberry vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/gojiberry-vs-zoominfo.md)
- [Hunter API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/hunter-vs-zoominfo.md)
- [LeadMagic API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/leadmagic-vs-zoominfo.md)
- [Lusha API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/lusha-vs-zoominfo.md)
- [People Data Labs vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/people-data-labs-vs-zoominfo.md)
- [Prospeo API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/prospeo-vs-zoominfo.md)
- [Dropcontact API + MCP vs Enrich Layer API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-enrich-layer.md)
- [Dropcontact API + MCP vs ZoomInfo API + MCP](https://www.anchorterminal.com/compare/dropcontact-vs-zoominfo.md)