Enrich Layer vs PredictLeads
Enrich Layer
enrichlayer.com
PredictLeads
predictleads.comSide by side
| Figure | Enrich Layer | PredictLeads |
|---|---|---|
| Price from | $49/mo | $0.01/mo |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 10 | 11 |
| Spec score · Data Enrichment Software | 9.0 (#1) | 8.6 (#7) |
| API documentation | Documentation covers authentication, rate limits, credits, caching, errors, Postman testing, a Proxycurl migration guide and downloadable OpenAPI specifications. | The REST API follows JSON:API and has an OpenAPI 3.1 schema, Swagger UI playground, OAuth2 flows and API-key/token authentication. |
| Company data | Company enrichment includes funding history, employee counts, industry classification, locations and hiring information. | Its firmographic dataset covers 120M+ companies and can include descriptions, tickers, locations, and corporate hierarchies. |
| Integrations | Live integrations include Zapier, self-hostable n8n, Clay, Workato, Pipedream, Node-RED, MCP, OpenClaw and Salesforce. | Official integrations include Postman, n8n, Make, Clay, ActivePieces, Apify, Pipedream, Claude, ChatGPT, Polytomic and other automation, MCP and reverse-ETL tools. |
| Product | Enrich Layer describes itself as a fully managed data enrichment layer for B2B applications. | PredictLeads offers structured company intelligence for AI agents through MCP, APIs, webhooks, and flat files. |
| Security controls | The privacy policy describes encryption, access controls, firewalls, intrusion detection, vulnerability scanning, penetration testing, training and incident-response procedures, while saying SOC 2 is under consideration. | Security controls described include encryption in transit, isolated internal networks, full-disk encryption, CI/CD scanning, hardened key-only servers, default-deny firewalls and SIEM/XDR monitoring. |
| Support | The company says customer support is staffed by engineers who work on the API. | The pricing page lists 24/7 support for full flat file access and for usage tiers above 10,000 calls. |
| What it does | Enrich Layer is a managed API that returns structured information about people, companies, jobs, contacts and web signals. | PredictLeads supplies structured company-intelligence data for AI agents, sales, market research, investment and job-board workflows through APIs, webhooks, flat files and MCP. |
Plans
Enrich Layer
- PAYG $10$10, paid once
- PAYG $50$50, paid once
- PAYG $100$100, paid once
- PAYG $500$500, paid once
- Starter$588 a year
- PAYG $1,000$1,000, paid once
- Growth$3,588 a year
- Pro$10,788 a year
- Ultra$22,788 a year
- Enterprise$24,000 a year
PredictLeads
- 100,001-500,000 API CallsFree
- 100,001–500,000 API CallsFree
- 100 API credits FreeFree
- 500,001+ API CallsFree
- 10,001-100,000 API Calls$0.01 a month
- 10,001–100,000 API Calls$0.01 a month
- 5,001-10,000 API Calls$0.02 a month
- 5,001–10,000 API Calls$0.02 a month
- 101–5,000 API Calls$40 a month
- 101-5,000 API Calls$400.04 a month
In their own words
Enrich Layer
Enrich Layer is a managed data-enrichment service for B2B applications, returning company, people, job, and web-signal data in a consistent JSON response. Its People API can enrich public profiles or identify people from an email or name, with details such as work history, education, skills, and contact fields. REST endpoints use JSON requests and responses, with searches by name, domain, or keyword. Other listed enrichment types include contacts, schools, search, and web and SEO signals. The service has live integrations including Zapier, n8n, Clay, Workato, Pipedream, Node-RED, MCP, OpenClaw, and Salesforce; several other integrations are marked as coming soon. Enrich Layer says it uses public sources and does not collect information behind login walls. Trial credits allow real API calls without a card. Pricing includes one-time credit packs from $10, paid once and annual subscriptions; the pricing FAQ says monthly and annual plans carry a 12-month commitment, with an early cancellation fee for remaining months. API limits are 300 requests per minute, up to 1,500 in a rolling five-minute window.
PredictLeads
PredictLeads provides structured company intelligence for AI agents through MCP, APIs, webhooks, and flat files. Its firmographic dataset covers 120M+ companies and may include descriptions, tickers, locations, and corporate hierarchies. News data spans 20M+ PR sites, news outlets, and blogs, with events sorted into 37 types. Job-posting data covers 2.7M+ companies and includes full descriptions, ONET codes, and salary details. Other datasets cover technographics, financing events, products, key customers, and similar companies. Delivery options include REST APIs, downloadable flat files, MCP, and real-time webhooks; listed integrations include Postman, n8n, Make.com, Clay, ActivePieces, Apify, ChatGPT, Claude, and Polytomic. The service has API, self-hosted, and web platforms. PredictLeads lists a free plan with up to 100 free API calls per month and paid access from $40/mo. Unused credits expire each billing period, and requests beyond the monthly credit limit return a 402 error. The company says it maintains SOC 2 Type II certification and encrypts customer data in transit.