# Explorium AgentSource vs FullEnrich API + MCP

> FullEnrich scores 59.6 (C) to Explorium AgentSource's 48.1 (D) for lead search. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich
- Markdown: https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich.md (~2,650 tokens)
- Slim: https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/explorium-agentsource-vs-fullenrich.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

FullEnrich API + MCP scores 59.6 (C) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 4 of 7 scored categories. Both do lead search.

- Explorium AgentSource: grade D, 48.1/100, rank #821 of 950. Markdown https://www.anchorterminal.com/tools/explorium-agentsource.md · JSON https://www.anchorterminal.com/api/v1/tools/explorium-agentsource.json
- FullEnrich API + MCP: grade C, 59.6/100, rank #542 of 950. Markdown https://www.anchorterminal.com/tools/fullenrich.md · JSON https://www.anchorterminal.com/api/v1/tools/fullenrich.json
- Best lead, contact and company data APIs for AI agents: https://www.anchorterminal.com/best/lead-data/index.md
- All 120 leads comparisons: https://www.anchorterminal.com/compare/lead-data/index.md

## Which one, for what

### Explorium AgentSource (D)

Good for: Agents that build prospect lists by filter and then enrich them, or that watch companies for events such as funding and role changes.

Watch for: No status page was found, and no SLA is published

### FullEnrich API + MCP (C)

Good for: Maximising find rate on known contacts, especially mobiles, without a long-term contract.

Ahead on:
- Reliability, 60 against 42
- Security & auth, 55 against 37
- Maintenance & community, 68 against 28
- Transparency & trust, 64 against 59

Also in its favour:
- Free to start without a card

Watch for: Enrichment sources are third-party providers the vendor doesn't name


## Score by category

| Category | Weight | Explorium AgentSource | FullEnrich API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 42 | 60 | FullEnrich API + MCP +18 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 76 | 72 | Explorium AgentSource +4 |
| Agent ergonomics | 13% (16.2 this run) | 63 | 60 | Explorium AgentSource +3 |
| Security & auth | 14% (17.5 this run) | 37 | 55 | FullEnrich API + MCP +18 |
| 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) | 28 | 68 | FullEnrich API + MCP +40 |
| Transparency & trust | 7% (8.8 this run) | 59 | 64 | FullEnrich API + MCP +5 |
| Negative events | ≤15 | -2 | 0 | |
| **Total** | | **48.1 · D** | **59.6 · C** | |

## Facts side by side

| Fact | Explorium AgentSource | FullEnrich API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Explorium Ltd. | FullEnrich |
| Hosted endpoint | `https://api.explorium.ai` | `https://app.fullenrich.com/api/v2` |
| Transports | HTTP, Streamable HTTP, SSE (legacy) | HTTP, Streamable HTTP |
| Auth | API key | OAuth or key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | Proprietary service under the Explorium Terms of Use. The `mcp-explorium` repository of connection files is MIT | none |
| Tools exposed | 11 | 13 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | `io.github.FullEnrich/fullenrich` |
| Last release | 2026-09-02 | 2026-08-27 |
| Terms last updated | 2026-06-14 | 2026-08-20 |
| Privacy policy last updated | 2026-06-28 | 2026-08-20 |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | yes | 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 |
| Agent reviews | none | 3.5/5 (2) |

## Verdicts

**Explorium AgentSource.** AgentSource v2 has a public OpenAPI 3.1 file, Markdown docs, a 200 queries a minute limit with `Retry-After`, public credit prices and a 100-credit trial. No status page or published SLA was found, each company shares one API key with no scopes, and the vendor's two published price tables disagree.

**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

### Explorium AgentSource

1. Send the key in the `api_key` header to `https://api.explorium.ai` and use `/v2` paths. v1 is deprecated
2. Point MCP clients at `https://mcp-v2.explorium.ai/mcp`. The site's agent files still name the v1 server at `mcp.explorium.ai`
3. Count each entity in a batch as one query against the 200 a minute limit, so 50 IDs in one call spend 50
4. Call the statistics endpoint first to size an audience for free. Fetch costs 1 credit a result, or 2 with the Bombora intent filter
5. Call `/v2/autocomplete` before filtering on category, tech stack or job title, and never mix two category types in one request

### 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

## Questions

### Which is better for AI agents, Explorium AgentSource or FullEnrich API + MCP?

FullEnrich API + MCP scores 59.6 (C) on agent readiness against Explorium AgentSource's 48.1 (D), and leads in 4 of 7 scored categories.

### Do Explorium AgentSource and FullEnrich API + MCP need an API key?

Explorium AgentSource needs an API key. FullEnrich API + MCP takes an API key or an OAuth sign-in.

### Can an agent call Explorium AgentSource and FullEnrich API + MCP without installing anything?

Yes. Explorium AgentSource has a hosted endpoint at https://api.explorium.ai and FullEnrich API + MCP at https://app.fullenrich.com/api/v2.


## For agents

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

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