# Fuse MCP vs People Data Labs

> People Data Labs scores 64.2 (B) on agent readiness against Fuse MCP's 47.9 (D), and leads in 5 of 7 scored categories. Both do lead search. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs
- Markdown: https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.md (~2,500 tokens)
- Slim: https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/fuse-mcp-vs-people-data-labs.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

People Data Labs scores 64.2 (B) on agent readiness against Fuse MCP's 47.9 (D), and leads in 5 of 7 scored categories. Both do lead search.

- Fuse MCP: grade D, 47.9/100, rank #732 of 842. Markdown https://www.anchorterminal.com/tools/fuse-mcp.md · JSON https://www.anchorterminal.com/api/v1/tools/fuse-mcp.json
- People Data Labs: grade B, 64.2/100, rank #326 of 842. Markdown https://www.anchorterminal.com/tools/people-data-labs.md · JSON https://www.anchorterminal.com/api/v1/tools/people-data-labs.json

## Which one, for what

### Fuse MCP (D)

Good for: Suited to a salesperson or founder who wants an assistant to build prospect lists, enrich them and run email and LinkedIn outreach inside one Fuse account.

Watch for: The only OAuth scope is `mcp:tools`, so a connection can do everything its user can, including sending email and LinkedIn messages

### People Data Labs (B)

Good for: Products and pipelines that enrich or search person and company records at volume and can write Elasticsearch or SQL queries.

Ahead on:
- Reliability, 78 against 40
- Agent ergonomics, 77 against 57
- Payments & pricing, 35 against 30
- Maintenance & community, 79 against 35
- Transparency & trust, 67 against 49

Watch for: No OpenAPI file was found. The machine-readable material is a Postman collection and Elasticsearch mappings


## Score by category

| Category | Weight | Fuse MCP | People Data Labs | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 40 | 78 | People Data Labs +38 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 72 | 70 | Fuse MCP +2 |
| Agent ergonomics | 13% (16.2 this run) | 57 | 77 | People Data Labs +20 |
| Security & auth | 14% (17.5 this run) | 45 | 43 | Fuse MCP +2 |
| Payments & pricing | 10% (12.5 this run) | 30 | 35 | People Data Labs +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 35 | 79 | People Data Labs +44 |
| Transparency & trust | 7% (8.8 this run) | 49 | 67 | People Data Labs +18 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **47.9 · D** | **64.2 · B** | |

## Facts side by side

| Fact | Fuse MCP | People Data Labs |
| --- | --- | --- |
| Kind | MCP server | HTTP API |
| Vendor | FuseAI, LLC | People Data Labs, Inc. |
| Hosted endpoint | `https://mcp.fuseai.com` | `https://api.peopledatalabs.com/v5` |
| Transports | Streamable HTTP | HTTP |
| Auth | OAuth | API key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | Proprietary hosted service under FuseAI's terms of service. No public source repository found | Proprietary service under the Services Subscription Agreement. The Python and JavaScript SDKs are MIT |
| Tools exposed | 290 | none |
| Read-only variant documented | yes | no |
| llms.txt | yes | yes |
| Last release | 2026-10-07 | 2026-09-16 |
| Terms last updated | 2026-07-01 | couldn't be read |
| Privacy policy last updated | 2026-07-01 | couldn't be read |
| Customer content may train models | not found in the text | couldn't be read |
| Terms restrict automated access | yes | couldn't be read |
| Terms restrict benchmarking | not found in the text | couldn't be read |
| Terms or service can change without notice | not found in the text | couldn't be read |
| Arbitration or class-action waiver | yes | couldn't be read |
| Popularity | none | 40 stars, 133k npm/wk, 30k PyPI/wk |

## Verdicts

**Fuse MCP.** The server documents 290 tools with read-only and destructive annotations, OAuth with PKCE and dynamic client registration, and published limits of 60 requests a minute. The single `mcp:tools` scope grants everything the user can do, sends happen at once with no undo, and no status page, changelog or security contact was found.

**People Data Labs.** Monthly dated release notes, a free sandbox with synthetic data, response headers that report credits and rate limits, and a free plan of 100 records a month make the API easy to start with. No OpenAPI file was found, keys carry no scopes and may travel in the URL, and the agreement allows changes without notice.

## Before you call either

### Fuse MCP

1. Keep the client's approval prompt on for every tool that is not read-only. Sends, CRM pushes and Slack posts run at once with no undo
2. Launch a campaign only on an explicit request. Creating one makes a draft, and `update_campaign_status_tool` starts real outreach
3. Call `get_credits_balance` and `get_credit_prices` first. Every call needs at least 100 credits, and searches cost 2 credits a result
4. Resolve filter values with `lookup_filter_values` or `get_company_search_enums` before `search_people` or `search_companies`
5. Start long work with `deep_research_start`, then poll `deep_research_status`. A tool call has 60 seconds, and runs take 5 to 20 minutes

### People Data Labs

1. Send the key in the `X-Api-Key` header. The `api_key` query parameter puts the secret in URLs and logs
2. Build and test queries against `https://sandbox.api.peopledatalabs.com/v5/...` first. It costs no credits and allows five calls a minute
3. Set `size` deliberately on search. Every record returned costs one credit, and responses over 1 MB fail
4. Treat `404` on enrichment as no match, not an error, and `402` as credits exhausted. Neither is worth a retry
5. On `429`, wait until the `x-ratelimit-reset` time. Limits are fixed-window per key and per endpoint

## Questions

### Which is better for AI agents, Fuse MCP or People Data Labs?

People Data Labs scores 64.2 (B) on agent readiness against Fuse MCP's 47.9 (D), and leads in 5 of 7 scored categories.

### Do Fuse MCP and People Data Labs need an API key?

Fuse MCP uses an OAuth sign-in. People Data Labs needs an API key.

### Can an agent call Fuse MCP and People Data Labs without installing anything?

Yes. Fuse MCP has a hosted endpoint at https://mcp.fuseai.com and People Data Labs at https://api.peopledatalabs.com/v5.


## For agents

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

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